From 0dc4e2781e71ed5995db1aa27f1809f82ee04c57 Mon Sep 17 00:00:00 2001 From: zoazhyga Date: Wed, 7 Aug 2024 16:11:34 +0200 Subject: [PATCH 1/7] [wip] adopting huggingface embedding --- .docker/router.yml | 2 +- .dockerignore | 2 +- .github/pull_request_template.md | 2 +- .../actions/install_dependencies/action.yml | 1 - .github/workflows/fern-check.yml | 4 +- .github/workflows/generate-release.yml | 2 +- .github/workflows/publish-docs.yml | 6 +- .github/workflows/release-please.yml | 2 +- .pre-commit-config.yaml | 2 +- Dockerfile.llamacpp-cpu | 2 +- README.md | 10 +- docker-compose.yaml | 2 +- fern/README.md | 6 +- .../pages/api-reference/api-reference.mdx | 2 +- fern/docs/pages/installation/concepts.mdx | 2 +- .../pages/installation/troubleshooting.mdx | 2 +- fern/docs/pages/manual/ingestion-reset.mdx | 2 +- fern/docs/pages/manual/ingestion.mdx | 1 - fern/docs/pages/manual/llms.mdx | 3 +- fern/docs/pages/manual/nodestore.mdx | 4 +- fern/docs/pages/manual/reranker.mdx | 2 +- fern/docs/pages/manual/settings.mdx | 2 +- fern/docs/pages/manual/vectordb.mdx | 2 +- fern/docs/pages/overview/welcome.mdx | 2 +- fern/docs/pages/quickstart/quickstart.mdx | 2 +- fern/docs/pages/recipes/summarize.mdx | 1 - fern/docs/pages/ui/gradio.mdx | 2 +- fern/fern.config.json | 2 +- fern/openapi/openapi.json | 2 +- local_data/.gitignore | 2 +- models/.gitignore | 2 +- poetry.lock | 1454 +++++++++-------- pyproject.toml | 2 +- scripts/setup | 11 +- settings-azopenai.yaml | 2 +- settings-huglama.yaml | 18 + settings-ollama-pg.yaml | 1 - settings-sagemaker.yaml | 2 +- settings-test.yaml | 2 +- settings-vllm.yaml | 2 +- settings.yaml | 22 +- tests/server/chunks/chunk_test.txt | 2 +- tests/server/ingest/test.txt | 2 +- tiktoken_cache/.gitignore | 2 +- 44 files changed, 832 insertions(+), 770 deletions(-) create mode 100644 settings-huglama.yaml diff --git a/.docker/router.yml b/.docker/router.yml index 3b55df9ef..463df86a0 100644 --- a/.docker/router.yml +++ b/.docker/router.yml @@ -13,4 +13,4 @@ http: routers: ollama-router: rule: "PathPrefix(`/`)" - service: ollama \ No newline at end of file + service: ollama diff --git a/.dockerignore b/.dockerignore index c156a9b8a..7a59b5c0e 100644 --- a/.dockerignore +++ b/.dockerignore @@ -9,4 +9,4 @@ local_data terraform tests Dockerfile -Dockerfile.* \ No newline at end of file +Dockerfile.* diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 701ed1e31..5d3cb9c51 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -34,4 +34,4 @@ Please describe the tests that you ran to verify your changes. Provide instructi - [ ] I have added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged and published in downstream modules -- [ ] I ran `make check; make test` to ensure mypy and tests pass \ No newline at end of file +- [ ] I ran `make check; make test` to ensure mypy and tests pass diff --git a/.github/workflows/actions/install_dependencies/action.yml b/.github/workflows/actions/install_dependencies/action.yml index 0d70dca77..28f62e979 100644 --- a/.github/workflows/actions/install_dependencies/action.yml +++ b/.github/workflows/actions/install_dependencies/action.yml @@ -27,4 +27,3 @@ runs: - name: Install Dependencies run: poetry install --extras "ui vector-stores-qdrant" --no-root shell: bash - diff --git a/.github/workflows/fern-check.yml b/.github/workflows/fern-check.yml index 6b021abc7..eaac184dd 100644 --- a/.github/workflows/fern-check.yml +++ b/.github/workflows/fern-check.yml @@ -6,7 +6,7 @@ on: - main paths: - "fern/**" - + jobs: fern-check: runs-on: ubuntu-latest @@ -18,4 +18,4 @@ jobs: run: npm install -g fern-api - name: Check Fern API is valid - run: fern check \ No newline at end of file + run: fern check diff --git a/.github/workflows/generate-release.yml b/.github/workflows/generate-release.yml index 82d08d0b4..afe515edf 100644 --- a/.github/workflows/generate-release.yml +++ b/.github/workflows/generate-release.yml @@ -80,4 +80,4 @@ jobs: - name: Version output id: version - run: echo "version=${{ steps.meta.outputs.version }}" >> "$GITHUB_OUTPUT" \ No newline at end of file + run: echo "version=${{ steps.meta.outputs.version }}" >> "$GITHUB_OUTPUT" diff --git a/.github/workflows/publish-docs.yml b/.github/workflows/publish-docs.yml index a7ff1e35b..be79f1cff 100644 --- a/.github/workflows/publish-docs.yml +++ b/.github/workflows/publish-docs.yml @@ -1,8 +1,8 @@ name: publish docs -on: - push: - branches: +on: + push: + branches: - main paths: - "fern/**" diff --git a/.github/workflows/release-please.yml b/.github/workflows/release-please.yml index b7b74e05d..d25cfe319 100644 --- a/.github/workflows/release-please.yml +++ b/.github/workflows/release-please.yml @@ -16,4 +16,4 @@ jobs: - uses: google-github-actions/release-please-action@v3 with: release-type: simple - version-file: version.txt \ No newline at end of file + version-file: version.txt diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index fc10e87e8..bca2c977f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -40,4 +40,4 @@ repos: pass_filenames: false language: system types: [python] - stages: [push] \ No newline at end of file + stages: [push] diff --git a/Dockerfile.llamacpp-cpu b/Dockerfile.llamacpp-cpu index fce9915af..f3371d7b6 100644 --- a/Dockerfile.llamacpp-cpu +++ b/Dockerfile.llamacpp-cpu @@ -59,4 +59,4 @@ COPY --chown=worker *.yaml ./ COPY --chown=worker scripts/ scripts USER worker -ENTRYPOINT python -m private_gpt \ No newline at end of file +ENTRYPOINT python -m private_gpt diff --git a/README.md b/README.md index b59ea28e9..4bd0823f7 100644 --- a/README.md +++ b/README.md @@ -110,10 +110,10 @@ typing checks, just run `make check` before committing to make sure your code is Remember to test your code! You'll find a tests folder with helpers, and you can run tests using `make test` command. -Don't know what to contribute? Here is the public -[Project Board](https://github.com/users/imartinez/projects/3) with several ideas. +Don't know what to contribute? Here is the public +[Project Board](https://github.com/users/imartinez/projects/3) with several ideas. -Head over to Discord +Head over to Discord #contributors channel and ask for write permissions on that GitHub project. ## 💬 Community @@ -122,7 +122,7 @@ Join the conversation around PrivateGPT on our: - [Discord](https://discord.gg/bK6mRVpErU) ## 📖 Citation -If you use PrivateGPT in a paper, check out the [Citation file](CITATION.cff) for the correct citation. +If you use PrivateGPT in a paper, check out the [Citation file](CITATION.cff) for the correct citation. You can also use the "Cite this repository" button in this repo to get the citation in different formats. Here are a couple of examples: @@ -150,7 +150,7 @@ PrivateGPT is actively supported by the teams behind: * [Fern](https://buildwithfern.com/), providing Documentation and SDKs * [LlamaIndex](https://www.llamaindex.ai/), providing the base RAG framework and abstractions -This project has been strongly influenced and supported by other amazing projects like +This project has been strongly influenced and supported by other amazing projects like [LangChain](https://github.com/hwchase17/langchain), [GPT4All](https://github.com/nomic-ai/gpt4all), [LlamaCpp](https://github.com/ggerganov/llama.cpp), diff --git a/docker-compose.yaml b/docker-compose.yaml index a5df4647e..cccc4768d 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -99,4 +99,4 @@ services: count: 1 capabilities: [gpu] profiles: - - ollama-cuda \ No newline at end of file + - ollama-cuda diff --git a/fern/README.md b/fern/README.md index a00d1e46c..eb99d7651 100644 --- a/fern/README.md +++ b/fern/README.md @@ -7,7 +7,7 @@ Fern is basically transforming your `.md` and `.mdx` files into a static website The configuration of your documentation is done in the `./docs.yml` file. There, you can configure the navbar, tabs, sections and pages being rendered. -The documentation of fern (and the syntax of its configuration `docs.yml`) is +The documentation of fern (and the syntax of its configuration `docs.yml`) is available there [docs.buildwithfern.com](https://docs.buildwithfern.com/). ## How to run fern @@ -15,7 +15,7 @@ available there [docs.buildwithfern.com](https://docs.buildwithfern.com/). **You cannot render your documentation locally without fern credentials.** To see how your documentation looks like, you **have to** use the CICD of this -repository (by opening a PR, CICD job will be executed, and a preview of +repository (by opening a PR, CICD job will be executed, and a preview of your PR's documentation will be deployed in vercel automatically, through fern). The only thing you can do locally, is to run `fern check`, which check the syntax of @@ -36,4 +36,4 @@ navigation: - page: My new page display name # The path of the page, relative to `fern/` path: ./docs/pages/my-existing-tab/new-page-content.mdx -``` \ No newline at end of file +``` diff --git a/fern/docs/pages/api-reference/api-reference.mdx b/fern/docs/pages/api-reference/api-reference.mdx index ab24c0069..f0a80642f 100644 --- a/fern/docs/pages/api-reference/api-reference.mdx +++ b/fern/docs/pages/api-reference/api-reference.mdx @@ -11,4 +11,4 @@ The API is divided in two logical blocks: 2. Low-level API, allowing advanced users to implement their own complex pipelines: - Embeddings generation: based on a piece of text. - Contextual chunks retrieval: given a query, returns the most relevant chunks of text from the ingested - documents. \ No newline at end of file + documents. diff --git a/fern/docs/pages/installation/concepts.mdx b/fern/docs/pages/installation/concepts.mdx index 0a8dc744b..9a5999dbf 100644 --- a/fern/docs/pages/installation/concepts.mdx +++ b/fern/docs/pages/installation/concepts.mdx @@ -64,4 +64,4 @@ In order for HuggingFace LLM to work (the second option), you need to download t poetry run python scripts/setup ``` ### Vector stores -The vector stores supported (Qdrant, Milvus, ChromaDB and Postgres) run locally by default. \ No newline at end of file +The vector stores supported (Qdrant, Milvus, ChromaDB and Postgres) run locally by default. diff --git a/fern/docs/pages/installation/troubleshooting.mdx b/fern/docs/pages/installation/troubleshooting.mdx index dc99d6cb5..b19230c14 100644 --- a/fern/docs/pages/installation/troubleshooting.mdx +++ b/fern/docs/pages/installation/troubleshooting.mdx @@ -46,4 +46,4 @@ huggingface: embedding: embed_dim: 384 ``` - \ No newline at end of file + diff --git a/fern/docs/pages/manual/ingestion-reset.mdx b/fern/docs/pages/manual/ingestion-reset.mdx index 516f98c5d..5f160049d 100644 --- a/fern/docs/pages/manual/ingestion-reset.mdx +++ b/fern/docs/pages/manual/ingestion-reset.mdx @@ -11,4 +11,4 @@ make wipe # Advanced usage You can actually delete your documents from your storage by using the -API endpoint `DELETE` in the Ingestion API. \ No newline at end of file +API endpoint `DELETE` in the Ingestion API. diff --git a/fern/docs/pages/manual/ingestion.mdx b/fern/docs/pages/manual/ingestion.mdx index 9b10b9548..b66c2f9a3 100644 --- a/fern/docs/pages/manual/ingestion.mdx +++ b/fern/docs/pages/manual/ingestion.mdx @@ -134,4 +134,3 @@ explanatory error asking you to download the necessary dependencies to install t **Other file formats might work**, but they will be considered as plain text files (in other words, they will be ingested as `.txt` files). - diff --git a/fern/docs/pages/manual/llms.mdx b/fern/docs/pages/manual/llms.mdx index c65944ef0..520961816 100644 --- a/fern/docs/pages/manual/llms.mdx +++ b/fern/docs/pages/manual/llms.mdx @@ -117,7 +117,7 @@ azopenai: azure_endpoint: # You could skip this configuration and use the AZ_OPENAI_ENDPOINT env var instead api_version: # The API version to use. Default is "2023_05_15" embedding_deployment_name: # You could skip this configuration and use the AZ_OPENAI_EMBEDDING_DEPLOYMENT_NAME env var instead - embedding_model: # Optional model to use. Default is "text-embedding-ada-002" + embedding_model: # Optional model to use. Default is "text-embedding-ada-002" llm_deployment_name: # You could skip this configuration and use the AZ_OPENAI_LLM_DEPLOYMENT_NAME env var instead llm_model: # Optional model to use. Default is "gpt-35-turbo" ``` @@ -231,4 +231,3 @@ or When the server is started it will print a log *Application startup complete*. Navigate to http://localhost:8001 to use the Gradio UI or to http://localhost:8001/docs (API section) to try the API. - diff --git a/fern/docs/pages/manual/nodestore.mdx b/fern/docs/pages/manual/nodestore.mdx index cec1d36de..8296dd163 100644 --- a/fern/docs/pages/manual/nodestore.mdx +++ b/fern/docs/pages/manual/nodestore.mdx @@ -57,10 +57,10 @@ Given the above configuration, Two PostgreSQL tables will be created upon succes ``` postgres=# \dt private_gpt.* List of relations - Schema | Name | Type | Owner + Schema | Name | Type | Owner -------------+-----------------+-------+-------------- private_gpt | data_docstore | table | postgres private_gpt | data_indexstore | table | postgres -postgres=# +postgres=# ``` diff --git a/fern/docs/pages/manual/reranker.mdx b/fern/docs/pages/manual/reranker.mdx index 576e3e8f0..ae70a2422 100644 --- a/fern/docs/pages/manual/reranker.mdx +++ b/fern/docs/pages/manual/reranker.mdx @@ -33,4 +33,4 @@ rag: rerank: enabled: true top_n: 3 # Number of top-ranked documents to use for generating the answer -``` \ No newline at end of file +``` diff --git a/fern/docs/pages/manual/settings.mdx b/fern/docs/pages/manual/settings.mdx index 09f6d151c..a84bce26b 100644 --- a/fern/docs/pages/manual/settings.mdx +++ b/fern/docs/pages/manual/settings.mdx @@ -82,4 +82,4 @@ Missing variables with no default will produce an error. ```yaml server: port: ${PORT:8001} -``` \ No newline at end of file +``` diff --git a/fern/docs/pages/manual/vectordb.mdx b/fern/docs/pages/manual/vectordb.mdx index ac3dffccd..560358ccc 100644 --- a/fern/docs/pages/manual/vectordb.mdx +++ b/fern/docs/pages/manual/vectordb.mdx @@ -116,7 +116,7 @@ postgres=# \d private_gpt.data_embeddings Indexes: "data_embeddings_pkey" PRIMARY KEY, btree (id) -postgres=# +postgres=# ``` The dimensions of the embeddings columns will be set based on the `embedding.embed_dim` value. If the embedding model changes this table may need to be dropped and recreated to avoid a dimension mismatch. diff --git a/fern/docs/pages/overview/welcome.mdx b/fern/docs/pages/overview/welcome.mdx index 801e4ccf6..5a6d456a9 100644 --- a/fern/docs/pages/overview/welcome.mdx +++ b/fern/docs/pages/overview/welcome.mdx @@ -39,4 +39,4 @@ Get started by understanding the [Main Concepts and Installation](/installation) /> -
\ No newline at end of file +
diff --git a/fern/docs/pages/quickstart/quickstart.mdx b/fern/docs/pages/quickstart/quickstart.mdx index 09877ce25..65c8c43c1 100644 --- a/fern/docs/pages/quickstart/quickstart.mdx +++ b/fern/docs/pages/quickstart/quickstart.mdx @@ -102,4 +102,4 @@ or with a specific profile: ```sh docker-compose --profile up --build ``` -Replace `` with the desired profile. \ No newline at end of file +Replace `` with the desired profile. diff --git a/fern/docs/pages/recipes/summarize.mdx b/fern/docs/pages/recipes/summarize.mdx index 99594bf1b..efbcb7383 100644 --- a/fern/docs/pages/recipes/summarize.mdx +++ b/fern/docs/pages/recipes/summarize.mdx @@ -17,4 +17,3 @@ This can be applied in various scenarios, such as summarizing research papers, n If you have ideas for improving the Summarize or want to add new features, feel free to contribute! You can submit your enhancements via a pull request on our [GitHub repository](https://github.com/zylon-ai/private-gpt). - diff --git a/fern/docs/pages/ui/gradio.mdx b/fern/docs/pages/ui/gradio.mdx index 8336ed648..6e0ad73f8 100644 --- a/fern/docs/pages/ui/gradio.mdx +++ b/fern/docs/pages/ui/gradio.mdx @@ -68,4 +68,4 @@ their manner of speaking and vocabulary. * You are a -role- bot, respond with -response criteria needed-. If no -response criteria- is needed, respond with -alternate response-. * Example: You are a grammar checking bot, respond with any grammatical corrections needed. If no corrections - are needed, respond with "verified". \ No newline at end of file + are needed, respond with "verified". diff --git a/fern/fern.config.json b/fern/fern.config.json index fe0eeacbc..362564340 100644 --- a/fern/fern.config.json +++ b/fern/fern.config.json @@ -1,4 +1,4 @@ { "organization": "privategpt", "version": "0.31.17" -} \ No newline at end of file +} diff --git a/fern/openapi/openapi.json b/fern/openapi/openapi.json index c17c4d123..5c3278bc0 100644 --- a/fern/openapi/openapi.json +++ b/fern/openapi/openapi.json @@ -1267,4 +1267,4 @@ } } } -} \ No newline at end of file +} diff --git a/local_data/.gitignore b/local_data/.gitignore index c96a04f00..d6b7ef32c 100644 --- a/local_data/.gitignore +++ b/local_data/.gitignore @@ -1,2 +1,2 @@ * -!.gitignore \ No newline at end of file +!.gitignore diff --git a/models/.gitignore b/models/.gitignore index c96a04f00..d6b7ef32c 100644 --- a/models/.gitignore +++ b/models/.gitignore @@ -1,2 +1,2 @@ * -!.gitignore \ No newline 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lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "25abbb45bc462dbf056b83c0925b505ad1232484a18e50f07c5e7f517dd84e6f" +content-hash = "7ec5345f582d22af25859e961a76dddb92efe5c58dab21a2a3ba0403f20e44f5" diff --git a/pyproject.toml b/pyproject.toml index 10e3c2b5c..a27aea80a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,7 +51,7 @@ boto3 = {version ="^1.34.139", optional = true} qdrant-client = {version ="^1.9.0", optional = true} # Optional Reranker dependencies -torch = {version ="^2.3.1", optional = true} +torch = "2.2.2" sentence-transformers = {version ="^3.0.1", optional = true} # Optional UI diff --git a/scripts/setup b/scripts/setup index ce8e833f0..aa892565b 100755 --- a/scripts/setup +++ b/scripts/setup @@ -9,9 +9,14 @@ from private_gpt.paths import models_path, models_cache_path from private_gpt.settings.settings import settings resume_download = True -if __name__ == '__main__': - parser = argparse.ArgumentParser(prog='Setup: Download models from Hugging Face') - parser.add_argument('--resume', default=True, action=argparse.BooleanOptionalAction, help='Enable/Disable resume_download options to restart the download progress interrupted') +if __name__ == "__main__": + parser = argparse.ArgumentParser(prog="Setup: Download models from Hugging Face") + parser.add_argument( + "--resume", + default=True, + action=argparse.BooleanOptionalAction, + help="Enable/Disable resume_download options to restart the download progress interrupted", + ) args = parser.parse_args() resume_download = args.resume diff --git a/settings-azopenai.yaml b/settings-azopenai.yaml index 7e4b47c1c..8932a1f9c 100644 --- a/settings-azopenai.yaml +++ b/settings-azopenai.yaml @@ -14,4 +14,4 @@ azopenai: llm_deployment_name: ${AZ_OPENAI_LLM_DEPLOYMENT_NAME:} api_version: "2023-05-15" embedding_model: text-embedding-ada-002 - llm_model: gpt-35-turbo \ No newline at end of file + llm_model: gpt-35-turbo diff --git a/settings-huglama.yaml b/settings-huglama.yaml new file mode 100644 index 000000000..40a4c7dbc --- /dev/null +++ b/settings-huglama.yaml @@ -0,0 +1,18 @@ +server: + env_name: ${APP_ENV:huglama} + +llm: + mode: ollama + max_new_tokens: 10000 + context_window: 100000 + temperature: 0.1 + +embedding: + mode: huggingface + ingest_mode: parallel + +vectorstore: + database: qdrant + +qdrant: + path: local_data/private_gpt/qdrant diff --git a/settings-ollama-pg.yaml b/settings-ollama-pg.yaml index e2104f1b7..c19e4e007 100644 --- a/settings-ollama-pg.yaml +++ b/settings-ollama-pg.yaml @@ -31,4 +31,3 @@ postgres: user: postgres password: admin schema_name: private_gpt - diff --git a/settings-sagemaker.yaml b/settings-sagemaker.yaml index 678fb8b5c..cd52a5019 100644 --- a/settings-sagemaker.yaml +++ b/settings-sagemaker.yaml @@ -14,4 +14,4 @@ embedding: sagemaker: llm_endpoint_name: llm - embedding_endpoint_name: embedding \ No newline at end of file + embedding_endpoint_name: embedding diff --git a/settings-test.yaml b/settings-test.yaml index b6ca869da..f2f39a663 100644 --- a/settings-test.yaml +++ b/settings-test.yaml @@ -18,4 +18,4 @@ embedding: mode: mock ui: - enabled: false \ No newline at end of file + enabled: false diff --git a/settings-vllm.yaml b/settings-vllm.yaml index a8b1cf93b..3fa9f6714 100644 --- a/settings-vllm.yaml +++ b/settings-vllm.yaml @@ -18,4 +18,4 @@ openai: api_base: http://localhost:8000/v1 api_key: EMPTY model: facebook/opt-125m - request_timeout: 600.0 \ No newline at end of file + request_timeout: 600.0 diff --git a/settings.yaml b/settings.yaml index f030604a3..cc8232505 100644 --- a/settings.yaml +++ b/settings.yaml @@ -26,20 +26,22 @@ ui: enabled: true path: / default_chat_system_prompt: > - You are a helpful, respectful and honest assistant. + You are a helpful, respectful and honest assistant. Always answer as helpfully as possible and follow ALL given instructions. Do not speculate or make up information. Do not reference any given instructions or context. + Answer in the same language as the given instructions. default_query_system_prompt: > - You can only answer questions about the provided context. - If you know the answer but it is not based in the provided context, don't provide + You can only answer questions about the provided context. + If you know the answer but it is not based in the provided context, don't provide the answer, just state the answer is not in the context provided. + Answer in the same language as the given instructions. default_summarization_system_prompt: > - Provide a comprehensive summary of the provided context information. + Provide a comprehensive summary of the provided context information. The summary should cover all the key points and main ideas presented in - the original text, while also condensing the information into a concise + the original text, while also condensing the information into a concise and easy-to-understand format. Please ensure that the summary includes - relevant details and examples that support the main ideas, while avoiding + relevant details and examples that support the main ideas, while avoiding any unnecessary information or repetition. delete_file_button_enabled: true delete_all_files_button_enabled: true @@ -55,14 +57,14 @@ llm: temperature: 0.1 # The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual. (Default: 0.1) rag: - similarity_top_k: 2 + similarity_top_k: 20 #This value controls how many "top" documents the RAG returns to use in the context. #similarity_value: 0.45 #This value is disabled by default. If you enable this settings, the RAG will only use articles that meet a certain percentage score. rerank: enabled: false model: cross-encoder/ms-marco-MiniLM-L-2-v2 - top_n: 1 + top_n: 5 summarize: use_async: true @@ -87,9 +89,11 @@ embedding: mode: huggingface ingest_mode: simple embed_dim: 768 # 768 is for nomic-ai/nomic-embed-text-v1.5 +# embed_dim: 384 # 384 is for sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 huggingface: - embedding_hf_model_name: nomic-ai/nomic-embed-text-v1.5 +# embedding_hf_model_name: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 + embedding_hf_model_name: intfloat/multilingual-e5-base access_token: ${HF_TOKEN:} # Warning: Enabling this option will allow the model to download and execute code from the internet. # Nomic AI requires this option to be enabled to use the model, be aware if you are using a different model. diff --git a/tests/server/chunks/chunk_test.txt b/tests/server/chunks/chunk_test.txt index 415d92d8a..376cd8707 100644 --- a/tests/server/chunks/chunk_test.txt +++ b/tests/server/chunks/chunk_test.txt @@ -4,4 +4,4 @@ b483dd15-78c4-4d67-b546-21a0d690bf43 a8080238-b294-4598-ac9c-7abf4c8e0552 -14208dac-c600-4a18-872b-5e45354cfff2 \ No newline at end of file +14208dac-c600-4a18-872b-5e45354cfff2 diff --git a/tests/server/ingest/test.txt b/tests/server/ingest/test.txt index 924a3dd9f..c379396f5 100644 --- a/tests/server/ingest/test.txt +++ b/tests/server/ingest/test.txt @@ -16,4 +16,4 @@ Later, they gathered for an art class, where they expressed themselves through p As the day came to an end, the students sat in a circle to share stories and reflections. Zumi shared her excitement for the day and how she learned to appreciate the interconnectedness of all creatures in the forest. -As the sun set, casting a golden glow across the forest, Zumi made her way back home, her heart brimming with happiness and newfound knowledge. Each day at Enchantia Forest School was an adventure, and Zumi couldn't wait to learn more and grow with her friends, for the magic of learning was as boundless as the forest itself. And so, under the canopy of stars and the watchful eyes of the forest, Zumi drifted into dreams filled with wonder and anticipation for the adventures that awaited her on the morrow. \ No newline at end of file +As the sun set, casting a golden glow across the forest, Zumi made her way back home, her heart brimming with happiness and newfound knowledge. Each day at Enchantia Forest School was an adventure, and Zumi couldn't wait to learn more and grow with her friends, for the magic of learning was as boundless as the forest itself. And so, under the canopy of stars and the watchful eyes of the forest, Zumi drifted into dreams filled with wonder and anticipation for the adventures that awaited her on the morrow. diff --git a/tiktoken_cache/.gitignore b/tiktoken_cache/.gitignore index c96a04f00..d6b7ef32c 100644 --- a/tiktoken_cache/.gitignore +++ b/tiktoken_cache/.gitignore @@ -1,2 +1,2 @@ * -!.gitignore \ No newline at end of file +!.gitignore From b4149c8d87d9625a7e136b63002387b08bcc0db8 Mon Sep 17 00:00:00 2001 From: zoazhyga Date: Sat, 10 Aug 2024 19:28:22 +0200 Subject: [PATCH 2/7] [dev] add support for .xml files --- Makefile | 2 +- experiments/llama_index.ipynb | 37 +++ poetry.lock | 217 +++++++++++++++++- private_gpt/__init__.py | 2 +- private_gpt/__main__.py | 5 +- .../components/ingest/ingest_helper.py | 65 ++++-- pyproject.toml | 3 + settings-huglama.yaml | 22 +- settings-mock.yaml | 1 - settings.yaml | 12 +- 10 files changed, 329 insertions(+), 37 deletions(-) create mode 100644 experiments/llama_index.ipynb diff --git a/Makefile b/Makefile index 7b9a8469e..e1055e9a4 100644 --- a/Makefile +++ b/Makefile @@ -39,7 +39,7 @@ dev-windows: (set PGPT_PROFILES=local & poetry run python -m uvicorn private_gpt.main:app --reload --port 8001) dev: - PYTHONUNBUFFERED=1 PGPT_PROFILES=local poetry run python -m uvicorn private_gpt.main:app --reload --port 8001 + PYTHONUNBUFFERED=1 PGPT_PROFILES=huglama poetry run python -m uvicorn private_gpt.main:app --reload --port 8001 ######################################################################################################################## # Misc diff --git a/experiments/llama_index.ipynb b/experiments/llama_index.ipynb new file mode 100644 index 000000000..54f657bb0 --- /dev/null +++ b/experiments/llama_index.ipynb @@ -0,0 +1,37 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "" + ] + } + ], + 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PowerPoint 2007+ (.pptx) files." +optional = false +python-versions = ">=3.8" +files = [ + {file = "python_pptx-1.0.2-py3-none-any.whl", hash = "sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba"}, + {file = "python_pptx-1.0.2.tar.gz", hash = "sha256:479a8af0eaf0f0d76b6f00b0887732874ad2e3188230315290cd1f9dd9cc7095"}, +] + +[package.dependencies] +lxml = ">=3.1.0" +Pillow = ">=3.3.2" +typing-extensions = ">=4.9.0" +XlsxWriter = ">=0.5.7" + [[package]] name = "pytz" version = "2024.1" @@ -6477,6 +6681,17 @@ files = [ {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"}, ] +[[package]] +name = "xlsxwriter" +version = "3.2.0" +description = "A Python module for creating Excel XLSX files." +optional = false +python-versions = ">=3.6" +files = [ + {file = "XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e"}, + {file = "XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c"}, +] + [[package]] name = "yarl" version = "1.9.4" @@ -6733,4 +6948,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "7ec5345f582d22af25859e961a76dddb92efe5c58dab21a2a3ba0403f20e44f5" +content-hash = "205a43fecaf7521b9673728e72c043d1ce878ce3e53ebc48292bd45f64090471" diff --git a/private_gpt/__init__.py b/private_gpt/__init__.py index 360b53a4b..6fcfd76a5 100644 --- a/private_gpt/__init__.py +++ b/private_gpt/__init__.py @@ -4,7 +4,7 @@ import os # Set to 'DEBUG' to have extensive logging turned on, even for libraries -ROOT_LOG_LEVEL = "INFO" +ROOT_LOG_LEVEL = "DEBUG" PRETTY_LOG_FORMAT = ( "%(asctime)s.%(msecs)03d [%(levelname)-8s] %(name)+25s - %(message)s" diff --git a/private_gpt/__main__.py b/private_gpt/__main__.py index 18b42fd7b..818aa3b29 100644 --- a/private_gpt/__main__.py +++ b/private_gpt/__main__.py @@ -8,4 +8,7 @@ # Set log_config=None to do not use the uvicorn logging configuration, and # use ours instead. For reference, see below: # https://github.com/tiangolo/fastapi/discussions/7457#discussioncomment-5141108 -uvicorn.run(app, host="0.0.0.0", port=settings().server.port, log_config=None) + + +if __name__ == "__main__": + uvicorn.run(app, host="0.0.0.0", port=settings().server.port, log_config=None) diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py index a11090702..5ac8ce237 100644 --- a/private_gpt/components/ingest/ingest_helper.py +++ b/private_gpt/components/ingest/ingest_helper.py @@ -10,7 +10,23 @@ # Inspired by the `llama_index.core.readers.file.base` module -def _try_loading_included_file_formats() -> dict[str, type[BaseReader]]: +def _try_loading_included_file_formats( + llmsherpa_api_url: str = None, +) -> dict[str, type[BaseReader]]: + simple_pdf_extractor = None + if llmsherpa_api_url is not None: + try: + from llama_index.readers.smart_pdf_loader import SmartPDFLoader + + # llmsherpa_api_url = "http://localhost:5010/api/parseDocument?renderFormat=all&useNewIndentParser=yes" + simple_pdf_extractor = SmartPDFLoader( + llmsherpa_api_url=llmsherpa_api_url, + ) + except ImportError as e: + raise ImportError( + "`llama-index-readers-smart-pdf-loader` package not found" + ) from e + try: from llama_index.readers.file.docs import ( # type: ignore DocxReader, @@ -31,31 +47,36 @@ def _try_loading_included_file_formats() -> dict[str, type[BaseReader]]: raise ImportError("`llama-index-readers-file` package not found") from e default_file_reader_cls: dict[str, type[BaseReader]] = { - ".hwp": HWPReader, - ".pdf": PDFReader, - ".docx": DocxReader, - ".pptx": PptxReader, - ".ppt": PptxReader, - ".pptm": PptxReader, - ".jpg": ImageReader, - ".png": ImageReader, - ".jpeg": ImageReader, - ".mp3": VideoAudioReader, - ".mp4": VideoAudioReader, - ".csv": PandasCSVReader, - ".epub": EpubReader, - ".md": MarkdownReader, - ".mbox": MboxReader, - ".ipynb": IPYNBReader, + ".hwp": HWPReader(), + # ".pdf": simple_pdf_extractor if simple_pdf_extractor else PDFReader, + ".pdf": PDFReader(), + ".docx": simple_pdf_extractor if simple_pdf_extractor else DocxReader(), + ".pptx": PptxReader(), + ".ppt": PptxReader(), + ".pptm": PptxReader(), + ".jpg": ImageReader(), + ".png": ImageReader(), + ".jpeg": ImageReader(), + # ".mp3": VideoAudioReader(), + # ".mp4": VideoAudioReader(), + ".csv": simple_pdf_extractor if simple_pdf_extractor else PandasCSVReader(), + ".xls": simple_pdf_extractor if simple_pdf_extractor else None, + ".xlsx": simple_pdf_extractor if simple_pdf_extractor else None, + ".epub": EpubReader(), + ".md": MarkdownReader(), + ".mbox": MboxReader(), + ".ipynb": IPYNBReader(), } return default_file_reader_cls # Patching the default file reader to support other file types -FILE_READER_CLS = _try_loading_included_file_formats() +FILE_READER_CLS = _try_loading_included_file_formats( + "http://localhost:5010/api/parseDocument?renderFormat=all&useNewIndentParser=yes" +) FILE_READER_CLS.update( { - ".json": JSONReader, + ".json": JSONReader(), } ) @@ -91,8 +112,10 @@ def _load_file_to_documents(file_name: str, file_data: Path) -> list[Document]: string_reader = StringIterableReader() return string_reader.load_data([file_data.read_text()]) - logger.debug("Specific reader found for extension=%s", extension) - return reader_cls().load_data(file_data) + logger.debug( + f"Specific reader found for extension=%s, {reader_cls=}", extension + ) + return reader_cls.load_data(file_data.as_posix()) @staticmethod def _exclude_metadata(documents: list[Document]) -> None: diff --git a/pyproject.toml b/pyproject.toml index a27aea80a..24880cfee 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -67,6 +67,9 @@ ollama = {version ="^0.3.0", optional = true} # Optional HF Transformers einops = {version = "^0.8.0", optional = true} +llama-index-readers-smart-pdf-loader = "^0.1.4" +python-pptx = "^1.0.2" +pillow = "^10.4.0" [tool.poetry.extras] ui = ["gradio", "ffmpy"] diff --git a/settings-huglama.yaml b/settings-huglama.yaml index 40a4c7dbc..4c26ea593 100644 --- a/settings-huglama.yaml +++ b/settings-huglama.yaml @@ -1,18 +1,30 @@ server: env_name: ${APP_ENV:huglama} +data: + local_data_folder: local_data/private_gpt + local_ingestion: + enabled: ${LOCAL_INGESTION_ENABLED:true} + allow_ingest_from: ["local_data/input_raw"] + llm: mode: ollama max_new_tokens: 10000 - context_window: 100000 + context_window: 12800 temperature: 0.1 embedding: mode: huggingface - ingest_mode: parallel + ingest_mode: simple +# count_workers: 2 vectorstore: - database: qdrant + database: postgres -qdrant: - path: local_data/private_gpt/qdrant +postgres: + host: localhost + port: 5432 + database: vector_db + user: user + password: pass31415 + schema_name: private_gpt diff --git a/settings-mock.yaml b/settings-mock.yaml index 3c63f7fed..c13639fe2 100644 --- a/settings-mock.yaml +++ b/settings-mock.yaml @@ -1,7 +1,6 @@ server: env_name: ${APP_ENV:mock} -# This configuration allows you to use GPU for creating embeddings while avoiding loading LLM into vRAM llm: mode: mock diff --git a/settings.yaml b/settings.yaml index cc8232505..2c1d281e2 100644 --- a/settings.yaml +++ b/settings.yaml @@ -18,7 +18,7 @@ server: data: local_ingestion: - enabled: ${LOCAL_INGESTION_ENABLED:false} + enabled: ${LOCAL_INGESTION_ENABLED:true} allow_ingest_from: ["*"] local_data_folder: local_data/private_gpt @@ -50,16 +50,16 @@ llm: mode: llamacpp prompt_style: "llama3" # Should be matching the selected model - max_new_tokens: 512 - context_window: 3900 + max_new_tokens: 10000 + context_window: 100000 # Select your tokenizer. Llama-index tokenizer is the default. - # tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct +# tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct temperature: 0.1 # The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual. (Default: 0.1) rag: - similarity_top_k: 20 + similarity_top_k: 30 #This value controls how many "top" documents the RAG returns to use in the context. - #similarity_value: 0.45 + similarity_value: 0.45 #This value is disabled by default. If you enable this settings, the RAG will only use articles that meet a certain percentage score. rerank: enabled: false From 00b64b9a4a1886feb8cf321f1213625accd718f1 Mon Sep 17 00:00:00 2001 From: zoazhyga Date: Mon, 12 Aug 2024 17:07:53 +0200 Subject: [PATCH 3/7] [fix] fix calling readers during runtime --- .../components/ingest/ingest_helper.py | 70 ++++++++++--------- settings-huglama.yaml | 2 +- 2 files changed, 37 insertions(+), 35 deletions(-) diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py index 5ac8ce237..a4fea40f4 100644 --- a/private_gpt/components/ingest/ingest_helper.py +++ b/private_gpt/components/ingest/ingest_helper.py @@ -8,20 +8,16 @@ logger = logging.getLogger(__name__) +LLMSHERPA_API_URL = ( + "http://localhost:5010/api/parseDocument?renderFormat=all&useNewIndentParser=yes" +) + # Inspired by the `llama_index.core.readers.file.base` module -def _try_loading_included_file_formats( - llmsherpa_api_url: str = None, -) -> dict[str, type[BaseReader]]: - simple_pdf_extractor = None - if llmsherpa_api_url is not None: +def _try_loading_included_file_formats() -> dict[str, type[BaseReader]]: + if LLMSHERPA_API_URL is not None: try: from llama_index.readers.smart_pdf_loader import SmartPDFLoader - - # llmsherpa_api_url = "http://localhost:5010/api/parseDocument?renderFormat=all&useNewIndentParser=yes" - simple_pdf_extractor = SmartPDFLoader( - llmsherpa_api_url=llmsherpa_api_url, - ) except ImportError as e: raise ImportError( "`llama-index-readers-smart-pdf-loader` package not found" @@ -47,33 +43,31 @@ def _try_loading_included_file_formats( raise ImportError("`llama-index-readers-file` package not found") from e default_file_reader_cls: dict[str, type[BaseReader]] = { - ".hwp": HWPReader(), + ".hwp": HWPReader, # ".pdf": simple_pdf_extractor if simple_pdf_extractor else PDFReader, - ".pdf": PDFReader(), - ".docx": simple_pdf_extractor if simple_pdf_extractor else DocxReader(), - ".pptx": PptxReader(), - ".ppt": PptxReader(), - ".pptm": PptxReader(), - ".jpg": ImageReader(), - ".png": ImageReader(), - ".jpeg": ImageReader(), - # ".mp3": VideoAudioReader(), - # ".mp4": VideoAudioReader(), - ".csv": simple_pdf_extractor if simple_pdf_extractor else PandasCSVReader(), - ".xls": simple_pdf_extractor if simple_pdf_extractor else None, - ".xlsx": simple_pdf_extractor if simple_pdf_extractor else None, - ".epub": EpubReader(), - ".md": MarkdownReader(), - ".mbox": MboxReader(), - ".ipynb": IPYNBReader(), + ".pdf": PDFReader, + ".docx": SmartPDFLoader if LLMSHERPA_API_URL else DocxReader, + ".pptx": PptxReader, + ".ppt": PptxReader, + ".pptm": PptxReader, + ".jpg": ImageReader, + ".png": ImageReader, + ".jpeg": ImageReader, + # ".mp3": VideoAudioReader, + # ".mp4": VideoAudioReader, + ".csv": SmartPDFLoader if LLMSHERPA_API_URL else PandasCSVReader, + ".xls": SmartPDFLoader if LLMSHERPA_API_URL else None, + ".xlsx": SmartPDFLoader if LLMSHERPA_API_URL else None, + ".epub": EpubReader, + ".md": MarkdownReader, + ".mbox": MboxReader, + ".ipynb": IPYNBReader, } return default_file_reader_cls # Patching the default file reader to support other file types -FILE_READER_CLS = _try_loading_included_file_formats( - "http://localhost:5010/api/parseDocument?renderFormat=all&useNewIndentParser=yes" -) +FILE_READER_CLS = _try_loading_included_file_formats() FILE_READER_CLS.update( { ".json": JSONReader(), @@ -109,13 +103,21 @@ def _load_file_to_documents(file_name: str, file_data: Path) -> list[Document]: extension, ) # Read as a plain text - string_reader = StringIterableReader() - return string_reader.load_data([file_data.read_text()]) + try: + string_reader = StringIterableReader() + return string_reader.load_data([file_data.read_text()]) + except Exception as e: + logger.error(f"Error reading file as plain text: {e}") logger.debug( f"Specific reader found for extension=%s, {reader_cls=}", extension ) - return reader_cls.load_data(file_data.as_posix()) + if reader_cls.__name__ == "SmartPDFLoader": + return reader_cls(llmsherpa_api_url=LLMSHERPA_API_URL).load_data( + file_data.as_posix() + ) + else: + return reader_cls().load_data(file_data) @staticmethod def _exclude_metadata(documents: list[Document]) -> None: diff --git a/settings-huglama.yaml b/settings-huglama.yaml index 4c26ea593..adba25adc 100644 --- a/settings-huglama.yaml +++ b/settings-huglama.yaml @@ -2,7 +2,7 @@ server: env_name: ${APP_ENV:huglama} data: - local_data_folder: local_data/private_gpt +# local_data_folder: local_data/private_gpt local_ingestion: enabled: ${LOCAL_INGESTION_ENABLED:true} allow_ingest_from: ["local_data/input_raw"] From cc6091961bac136b1d7eaff3730ad32407b76a07 Mon Sep 17 00:00:00 2001 From: zoazhyga Date: Thu, 5 Sep 2024 17:48:15 +0200 Subject: [PATCH 4/7] [dev] add support for all image pages inside pdf --- experiments/llama_index.ipynb | 239 ++- poetry.lock | 1510 ++++++++++++++++- .../components/ingest/ingest_component.py | 5 +- .../components/ingest/ingest_helper.py | 50 +- pyproject.toml | 4 + scripts/ingest_folder.py | 2 +- 6 files changed, 1792 insertions(+), 18 deletions(-) diff --git a/experiments/llama_index.ipynb b/experiments/llama_index.ipynb index 54f657bb0..2b60d3ec4 100644 --- a/experiments/llama_index.ipynb +++ b/experiments/llama_index.ipynb @@ -2,15 +2,246 @@ "cells": [ { "cell_type": "code", - "execution_count": null, "id": "initial_id", "metadata": { - "collapsed": true + "collapsed": true, + "ExecuteTime": { + "end_time": "2024-09-05T14:03:18.404518Z", + "start_time": "2024-09-05T14:03:18.401535Z" + } + }, + "source": "# Read PDF", + "outputs": [], + "execution_count": 33 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-05T14:39:16.282184Z", + "start_time": "2024-09-05T14:39:16.279186Z" + } + }, + "cell_type": "code", + "source": [ + "import pdf2image\n", + "import pytesseract\n", + "from pytesseract import Output, TesseractError" + ], + "id": "ad1ffea2dcb7dcaf", + "outputs": [], + "execution_count": 74 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-05T14:39:16.648563Z", + "start_time": "2024-09-05T14:39:16.646494Z" + } + }, + "cell_type": "code", + "source": "file = \"../local_data/input_raw/test/26223.pdf\"", + "id": "f38556f4ef09d669", + "outputs": [], + "execution_count": 75 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-05T14:39:23.492339Z", + "start_time": "2024-09-05T14:39:18.280277Z" + } }, + "cell_type": "code", + "source": "images = pdf2image.convert_from_path(file)", + "id": "67286a6f741debb0", "outputs": [], + "execution_count": 76 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-05T14:39:38.005863Z", + "start_time": "2024-09-05T14:39:36.119195Z" + } + }, + "cell_type": "code", "source": [ - "" - ] + "pil_im = images[5] # assuming that we're interested in the first page only\n", + "\n", + "ocr_dict = pytesseract.image_to_string(pil_im, lang=\"rus\")" + ], + "id": "ec339f7da13fc37f", + "outputs": [], + "execution_count": 79 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-05T14:39:49.348914Z", + "start_time": "2024-09-05T14:39:49.344588Z" + } + }, + "cell_type": "code", + "source": "print(ocr_dict)", + "id": "df86f1ed6f5f1b6e", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "096 отдельный батальон материального обеспечения\n", + "\n", + "1099 мотострелковый полк\n", + "\n", + "| береговая ракетно-артиллерийская бригада\n", + "\n", + "военная автомобильная инспекция\n", + "\n", + "гвардейская отдельная десантно-штурмовая бригада\n", + "гвардейская отдельная инженерная бригада\n", + "отдельная вертолетная эскадрилья\n", + "отдельная танковая бригада\n", + "отдельный медицинский батальон\n", + "отдельный танковый полк\n", + "\n", + "полк радиационной, химической и биологической защиты\n", + "\n", + "смешанный авиационный полк\n", + "средняя общеобразовательная школа\n", + "\n", + "центральный узел контроля безопасности связи\n", + "\n", + "11 экипаж большой подводной лодки\n", + "\n", + "110 военная автомобильная инспекция\n", + "\n", + "110 военное представительство Министерства обороны Российской Федерации\n", + "\n", + "110 отдельная мотострелковая бригада\n", + "110 отдельный стрелковый полк\n", + "\n", + "1101 отдел государственного технического надзора\n", + "\n", + "1102 мотострелковый полк\n", + "1104 мотострелковый полк\n", + "\n", + "144\n", + "\n", + "1105 мотострелковый полк\n", + "\n", + "109 отдельный оптико-электронный узел\n", + "\n", + "11 военная автомобильная инспекция\n", + "\n", + "П главный государственный центр судеоно-медицинских и криминалистических экспертиз Министерства\n", + "\n", + "|| отдельный стрелковый полк\n", + "\n", + "11 центральная база резерва танков\n", + "\n", + "110 объединенное управление эксплуатации специальных объектов\n", + "\n", + "117 зенитный ракетный полк\n", + "\n", + "152|1118 военное представительство Министерства обороны Российской Федерации\n", + "153|1118 отдельный радиолокационный узел\n", + "\n", + "154|112 авиационный полигон\n", + "\n", + "155112 гвардейская ракетная бригада\n", + "\n", + "156| 112 отдельный вертолетный полк\n", + "\n", + "157|112 отдельный стрелковый полк\n", + "\n", + "158|1122 отдельный батальон материального обеспечения\n", + "159|1124 отдельный батальон материального обеспечения\n", + "160|1127 ремонтный завод ракетно-артиллерийского вооружения\n", + "161|113 военная автомобильная инспекция\n", + "\n", + "162|1139 отдельный батальон материального обеспечения\n", + "163|1139 отдельный измерительный пункт\n", + "\n", + "164| 114 бригада\n", + "\n", + "165| 114 военная автомобильная инспекция\n", + "\n", + "166|114 гвардейская отдельная мотострелковая бригада\n", + "\n", + "114 гвардейский мотострелковый полк\n", + "\n", + "168\n", + "\n", + "114 отделение территориальное\n", + "\n", + "169\n", + "\n", + "40 гвардейский артиллерийский полк\n", + "\n", + "170\n", + "\n", + "41 гвардейский артиллерийский полк\n", + "\n", + "171\n", + "\n", + "1142 военное представительство Министерства обороны Российской Федерации\n", + "\n", + "172\n", + "\n", + "1143 отдельный зенитный ракетный дивизион\n", + "\n", + "173\n", + "\n", + "115 военная автомобильная инспекция\n", + "\n", + "174\n", + "\n", + "5 государственный специальный химический арсенал\n", + "\n", + "175\n", + "\n", + "150 радиоэлектронный центр\n", + "\n", + "176\n", + "\n", + "177\n", + "178\n", + "\n", + "1152 мотострелковый полк\n", + "1153 мотострелковый полк\n", + "54 мотострелковый полк\n", + "\n", + "179\n", + "\n", + "1155 центр\n", + "\n", + "180\n", + "\n", + "157 пожарная команда\n", + "\n", + "ТТТ.\n", + "\n", + "181\n", + "\n", + "1158 пожарная команда.\n", + "\n", + "182\n", + "\n", + "1159 военное представительство Министерства обороны Российской Федерации\n", + "\n", + "\n" + ] + } + ], + "execution_count": 81 + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + 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"a95052a0546cc9d3a37dfdadb44bbbd3b6429ece529a475a7dde26eae8c1e416" diff --git a/private_gpt/components/ingest/ingest_component.py b/private_gpt/components/ingest/ingest_component.py index 5ed039590..b751da64a 100644 --- a/private_gpt/components/ingest/ingest_component.py +++ b/private_gpt/components/ingest/ingest_component.py @@ -136,7 +136,10 @@ def bulk_ingest(self, files: list[tuple[str, Path]]) -> list[Document]: return saved_documents def _save_docs(self, documents: list[Document]) -> list[Document]: - logger.debug("Transforming count=%s documents into nodes", len(documents)) + logger.debug( + "Transforming count=%s documents into nodes", + len(documents) if isinstance(documents, list) else 1, + ) with self._index_thread_lock: for document in documents: self._index.insert(document, show_progress=True) diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py index a4fea40f4..ca3f750a1 100644 --- a/private_gpt/components/ingest/ingest_helper.py +++ b/private_gpt/components/ingest/ingest_helper.py @@ -1,6 +1,8 @@ import logging from pathlib import Path +import tqdm +import tempfile from llama_index.core.readers import StringIterableReader from llama_index.core.readers.base import BaseReader from llama_index.core.readers.json import JSONReader @@ -44,8 +46,8 @@ def _try_loading_included_file_formats() -> dict[str, type[BaseReader]]: default_file_reader_cls: dict[str, type[BaseReader]] = { ".hwp": HWPReader, - # ".pdf": simple_pdf_extractor if simple_pdf_extractor else PDFReader, - ".pdf": PDFReader, + # ".pdf": PDFReader, + ".pdf": SmartPDFLoader if LLMSHERPA_API_URL else PDFReader, ".docx": SmartPDFLoader if LLMSHERPA_API_URL else DocxReader, ".pptx": PptxReader, ".ppt": PptxReader, @@ -70,7 +72,7 @@ def _try_loading_included_file_formats() -> dict[str, type[BaseReader]]: FILE_READER_CLS = _try_loading_included_file_formats() FILE_READER_CLS.update( { - ".json": JSONReader(), + ".json": JSONReader, } ) @@ -88,7 +90,7 @@ def transform_file_into_documents( ) -> list[Document]: documents = IngestionHelper._load_file_to_documents(file_name, file_data) for document in documents: - document.metadata["file_name"] = file_name + document.metadata["file_name"] = file_data.as_posix() IngestionHelper._exclude_metadata(documents) return documents @@ -108,16 +110,44 @@ def _load_file_to_documents(file_name: str, file_data: Path) -> list[Document]: return string_reader.load_data([file_data.read_text()]) except Exception as e: logger.error(f"Error reading file as plain text: {e}") + raise ValueError( + f"No reader found for extension={extension}, file_name={file_name}" + ) logger.debug( f"Specific reader found for extension=%s, {reader_cls=}", extension ) if reader_cls.__name__ == "SmartPDFLoader": - return reader_cls(llmsherpa_api_url=LLMSHERPA_API_URL).load_data( + documents = reader_cls(llmsherpa_api_url=LLMSHERPA_API_URL).load_data( file_data.as_posix() ) else: - return reader_cls().load_data(file_data) + documents = reader_cls().load_data(file_data) + + if len(documents) == 0 and extension == ".pdf": + logger.debug( + "No text extracted from PDF, trying to extract images from PDF" + ) + try: + import pdf2image + import pytesseract + + images = pdf2image.convert_from_path(file_data) + documents = [] + + for i, image in tqdm.tqdm(enumerate(images)): + text = pytesseract.image_to_string(image, lang="rus") + doc = StringIterableReader().load_data( + [text], + )[0] + doc.metadata["page_label"] = i + + documents.extend(doc) + except Exception as e: + logger.error(f"Error extracting images from PDF: {e}") + raise ValueError(f"No text extracted from PDF={file_name}") + + return documents @staticmethod def _exclude_metadata(documents: list[Document]) -> None: @@ -127,4 +157,10 @@ def _exclude_metadata(documents: list[Document]) -> None: # We don't want the Embeddings search to receive this metadata document.excluded_embed_metadata_keys = ["doc_id"] # We don't want the LLM to receive these metadata in the context - document.excluded_llm_metadata_keys = ["file_name", "doc_id", "page_label"] + # ToDo currently remove file_name + document.excluded_llm_metadata_keys = [ + # "file_name", + "doc_id", + "page_label", + ] + document.excluded_llm_metadata_keys = ["doc_id", "page_label"] diff --git a/pyproject.toml b/pyproject.toml index 24880cfee..edca517f7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -70,6 +70,10 @@ einops = {version = "^0.8.0", optional = true} llama-index-readers-smart-pdf-loader = "^0.1.4" python-pptx = "^1.0.2" pillow = "^10.4.0" +jupyter = "^1.1.1" +pypdf2 = "^3.0.1" +pytesseract = "^0.3.13" +pdf2image = "^1.17.0" [tool.poetry.extras] ui = ["gradio", "ffmpy"] diff --git a/scripts/ingest_folder.py b/scripts/ingest_folder.py index b0b3a35b3..5cff2005e 100755 --- a/scripts/ingest_folder.py +++ b/scripts/ingest_folder.py @@ -1,4 +1,4 @@ -#!/usr/bin/env python3 +#!/usr/bin/env pythfon3 import argparse import logging From f592ae712c907fa16ec5455757d62f715412c06d Mon Sep 17 00:00:00 2001 From: zoazhyga Date: Thu, 5 Sep 2024 18:03:43 +0200 Subject: [PATCH 5/7] [wip] trying to fix page numbers --- private_gpt/components/ingest/ingest_helper.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py index ca3f750a1..8521ea075 100644 --- a/private_gpt/components/ingest/ingest_helper.py +++ b/private_gpt/components/ingest/ingest_helper.py @@ -139,10 +139,11 @@ def _load_file_to_documents(file_name: str, file_data: Path) -> list[Document]: text = pytesseract.image_to_string(image, lang="rus") doc = StringIterableReader().load_data( [text], - )[0] - doc.metadata["page_label"] = i + ) + # )[0] + # doc.metadata["page_label"] = str(i + 1) - documents.extend(doc) + documents.extend([doc]) except Exception as e: logger.error(f"Error extracting images from PDF: {e}") raise ValueError(f"No text extracted from PDF={file_name}") From be204cf8bd95998294b82056152e3297239a850f Mon Sep 17 00:00:00 2001 From: zoazhyga Date: Thu, 5 Sep 2024 18:05:49 +0200 Subject: [PATCH 6/7] [fix] extend documents just with doc not [doc] --- private_gpt/components/ingest/ingest_helper.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py index 8521ea075..45adbba88 100644 --- a/private_gpt/components/ingest/ingest_helper.py +++ b/private_gpt/components/ingest/ingest_helper.py @@ -143,7 +143,7 @@ def _load_file_to_documents(file_name: str, file_data: Path) -> list[Document]: # )[0] # doc.metadata["page_label"] = str(i + 1) - documents.extend([doc]) + documents.extend(doc) except Exception as e: logger.error(f"Error extracting images from PDF: {e}") raise ValueError(f"No text extracted from PDF={file_name}") From 800127f3ba6fb507fe5e14c9b21b04cd50f1ad34 Mon Sep 17 00:00:00 2001 From: zoazhyga Date: Fri, 6 Sep 2024 10:24:20 +0200 Subject: [PATCH 7/7] [dev] refactor, create CustomImagePagePdfReader --- .../components/ingest/ingest_helper.py | 25 ++++------- private_gpt/ui/ui.py | 4 +- scripts/readers.py | 43 +++++++++++++++++++ 3 files changed, 54 insertions(+), 18 deletions(-) create mode 100644 scripts/readers.py diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py index 45adbba88..7e5bcd930 100644 --- a/private_gpt/components/ingest/ingest_helper.py +++ b/private_gpt/components/ingest/ingest_helper.py @@ -8,6 +8,8 @@ from llama_index.core.readers.json import JSONReader from llama_index.core.schema import Document +from scripts.readers import CustomImagePagePdfReader + logger = logging.getLogger(__name__) LLMSHERPA_API_URL = ( @@ -129,24 +131,14 @@ def _load_file_to_documents(file_name: str, file_data: Path) -> list[Document]: "No text extracted from PDF, trying to extract images from PDF" ) try: - import pdf2image - import pytesseract - - images = pdf2image.convert_from_path(file_data) - documents = [] - - for i, image in tqdm.tqdm(enumerate(images)): - text = pytesseract.image_to_string(image, lang="rus") - doc = StringIterableReader().load_data( - [text], - ) - # )[0] - # doc.metadata["page_label"] = str(i + 1) - - documents.extend(doc) + pdf_reader = CustomImagePagePdfReader(lang="rus") + documents = pdf_reader.load_data(file_data.as_posix()) except Exception as e: logger.error(f"Error extracting images from PDF: {e}") - raise ValueError(f"No text extracted from PDF={file_name}") + raise ValueError(f"No text extracted from PDF: {file_name}") + + if len(documents) == 0: + logger.warning(f"No documents extracted from file: {file_name}") return documents @@ -158,7 +150,6 @@ def _exclude_metadata(documents: list[Document]) -> None: # We don't want the Embeddings search to receive this metadata document.excluded_embed_metadata_keys = ["doc_id"] # We don't want the LLM to receive these metadata in the context - # ToDo currently remove file_name document.excluded_llm_metadata_keys = [ # "file_name", "doc_id", diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py index 2c1dcd3e2..f273059bc 100644 --- a/private_gpt/ui/ui.py +++ b/private_gpt/ui/ui.py @@ -1,4 +1,5 @@ """This file should be imported if and only if you want to run the UI locally.""" + import base64 import logging import time @@ -69,7 +70,8 @@ def curate_sources(sources: list[Chunk]) -> list["Source"]: file_name = doc_metadata.get("file_name", "-") if doc_metadata else "-" page_label = doc_metadata.get("page_label", "-") if doc_metadata else "-" - source = Source(file=file_name, page=page_label, text=chunk.text) + logger.debug("Source: %s %s", file_name, page_label) + source = Source(file=file_name, page=str(page_label), text=chunk.text) curated_sources.append(source) curated_sources = list( dict.fromkeys(curated_sources).keys() diff --git a/scripts/readers.py b/scripts/readers.py new file mode 100644 index 000000000..9843d7fe1 --- /dev/null +++ b/scripts/readers.py @@ -0,0 +1,43 @@ +import logging +from typing import Any, Dict, List, Optional +import tqdm + +from llama_index.core.readers.base import BaseReader +from llama_index.core.schema import Document + + +logger = logging.getLogger(__name__) + + +class CustomImagePagePdfReader(BaseReader): + def __init__(self, *args: Any, lang: str = "rus", **kwargs: Any) -> None: + super().__init__(*args, **kwargs) + + self.lang = lang + + def load_data( + self, pdf_path: str, extra_info: Optional[Dict] = None + ) -> List[Document]: + + try: + import pdf2image + except ImportError: + raise ImportError("You need to install `pdf2image` to use this reader") + + try: + import pytesseract + except ImportError: + raise ImportError("You need to install `pytesseract` to use this reader") + + images = pdf2image.convert_from_path(pdf_path) + documents = [] + + for i, image in tqdm.tqdm(enumerate(images)): + text = pytesseract.image_to_string(image, lang=self.lang) + doc = Document( + text=text, + extra_info={"chunk_type": "image", "page_label": i + 1}, + ) + documents.append(doc) + + return documents