PagePod
# PagePod: Multi-Agent Web content Podcast generator This project uses a multi-agent framework to automatically generate podcasts from website content. It leverages the power of AI to scrape web content, refine it, create a script, and convert it to speech. ## Features - Web scraping of content - Content refinement and validation - Automatic podcast script generation - Script validation and improvement - Text-to-speech conversion - Multi-agent system using CrewAI ## Feautres to contribute - More Sophisticated Web Content Scrapping using Vision and OCR content Extraction - UI/Interface - Support to more LLM integrations and TTS models - Multi-Turn Podcast generation with multiple people - Addition of Fallback scrapping tools like Firecrawl , Craw4AI and more ## Prerequisites - Python 3.7+ - [OpenAI API key](https://platform.openai.com/) or [Groq API key](https://console.groq.com/keys) - [Deepgram API key](https://deepgram.com/product/text-to-speech) ## Installation 1. Clone the repository: ``` git clone https://github.com/AjayK47/PagePod.git cd PagePod ``` 2. Install the required packages: ``` pip install -r requirements.txt ``` 3. Set up environment variables: Create a `.env` file in the project root and add your API keys: ``` OPENAI_API_KEY=your_openai_api_key DG_API_KEY=your_deepgram_api_key ``` ## Usage Run the main script: ``` python main.py ``` You will be prompted to enter a URL. The system will then: 1. Scrape the content from the provided URL 2. Refine and validate the content 3. Generate a podcast script 4. Convert the script to speech 5. Save the resulting audio file ## Project Structure - `main.py`: Entry point of the application - `agents.py`: Defines the AI agents used in the process - `tasks.py`: Defines the tasks for each agent - `tools/tts.py`: Contains the text-to-speech tool - `requirements.txt`: Lists all Python dependencies ## Customization - You can customize the behavior of the agents by modifying their roles, goals, and backstories in the `agents.py` file. You can also adjust the task descriptions in `tasks.py` to fine-tune the process. - Best Part you change your LLM model as well in `agents.py` file ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. ## Acknowledgments - [CrewAI](https://github.com/joaomdmoura/crewAI) for the multi-agent framework - OpenAI for the language model - Deepgram for the text-to-speech API