Inspired by the popular podcast "Deep Questions" by Cal Newport, the project aims to leverage the power of language models to analyze and summarize podcast transcripts to generate answers and responses to related questions and prompts.
Clone this repository and navigate into the deep-answers directory:
git clone https://github.com/your-username/deep-answers.git
cd deep-answersInstall the required packages:
pip install -r requirements.txt
Run the application using Streamlit:
streamlit run src/app.pyOur model uses natural language processing techniques to summarize podcast transcripts, extracting key points and main ideas. This allows users to quickly grasp the essence of each episode without having to listen to the entire recording.
Listeners can submit questions related to the podcast content, and our model will generate answers based on the transcripts. This feature encourages audience engagement and provides additional insight into the topics discussed.
In addition to summaries and Q&A, our model can also produce original text based on the podcast content. This could include articles, blog posts, or social media updates that highlight key takeaways or offer new perspectives on the topic.
Our project utilizes the following technologies and libraries:
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Contributions are welcome! If you'd like to add new features, improve existing functionality, or provide feedback, please open a pull request or issue ticket.
deep-questions is licensed under the GNU General Public License (GPL). See LICENSE for more information.