This Jupyter Notebook is designed to fetch transcripts from YouTube videos and summarize them using OpenAI's GPT-4o model. The primary use case is to help traders determine a directional bias from video content, providing insights into market trends and potential trading strategies.
- Fetch Transcripts: Automatically retrieves transcripts from YouTube videos using the
youtube-transcript-api. - Summarization: Utilizes OpenAI's GPT-4o to summarize the transcript, highlighting key points and potential market implications.
- Directional Bias Analysis: Analyzes the content to determine the speaker's directional bias and provides a deeper understanding of the underlying message.
- Python 3.11 or later
- Jupyter Notebook
- Required Python packages:
youtube-transcript-apiopenaipyonepassword
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Install Python Packages: Run the following command in a Jupyter Notebook cell to install the necessary packages:
%pip install youtube-transcript-api openai pyonepassword
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OpenAI API Key: Ensure you have access to an OpenAI API key. This key should be securely stored and accessed using
pyonepassword. You can remove this and hardcode your key or add it some other way. -
YouTube Video ID: Update the
video_idvariable in the notebook with the ID of the YouTube video you wish to summarize.
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Run the Notebook: Execute the cells in the notebook sequentially. The notebook will fetch the transcript, summarize it, and provide an analysis of the directional bias.
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Review the Output: The summarized content and analysis will be displayed in the notebook's output cells.
The notebook includes an example using a specific YouTube video ID. You can replace this ID with any other video ID to analyze different content.
Contributions are welcome! Please feel free to submit a pull request or open an issue for any bugs or feature requests.
This project is licensed under the MIT License. See the LICENSE file for more details.