This project aims to generate structured PDF reports from podcast interviews, highlighting key takeaways, quotes, and insights. The goal is to create shareable and accessible summaries for a broader audience.

• Summarization using LLMs
• Search & Retrieval
• PDF Report Generation
• Web UI (Streamlit) for user interaction

1. Clone the repository:

   git clone https://github.com/DataTalksClub/podcast-summary-generation.git
   cd podcast-summaries

2. Install dependencies:

   pip install -r requirements.txt

# Start the backend services (if needed)
docker-compose up -d

# Run the application
python main.py

1. LLM Processing → Summarization, Extracting Key Insights
2. Storage & Retrieval → Search Engine (ElasticSearch/In-memory DB)
3. PDF Generation → Formatted Report
4. Web UI → User Interaction & Downloads

• Open an issue before working on any feature.
• Use feature branches for development.
• Submit PRs with at least 2 approvals before merging.

• Project Documentation
• GitHub Issues

🚀 Let's build something great together! 🎙️📄