---
title: MyPod 9
emoji: 👀
colorFrom: green
colorTo: gray
sdk: streamlit
sdk_version: 1.41.1
app_file: app.py
pinned: false
---

# MyPod: AI-Powered Podcast Magic

Welcome to **MyPod**, an AI-powered podcast generator designed to transform various sources of content into engaging and conversational podcasts. Whether you have a PDF, a webpage, a YouTube video, or a topic you want to explore, MyPod creates high-quality scripts and audio in minutes.

---

## Features

- **Multi-Source Input**: Supports PDF uploads, URLs, YouTube videos (with captions), and research topics.
- **AI Script Generation**: Produces engaging podcast scripts tailored to your selected tone and duration.
- **Customizable Output**: Personalize host/guest names, descriptions, and sponsored content.
- **Background Music Integration**: Use the default background music or upload your custom track.
- **Post-Podcast Q&A**: Ask follow-up questions and receive audio/text answers.
- **Audio Regeneration**: Edit transcripts and regenerate audio seamlessly.

---

## Installation

### Prerequisites

- Python 3.8+
- pip (Python package manager)
- Environment variables for required API keys:
  - `GROQ_API_KEY`
  - `DEEPGRAM_API_KEY`
  - `RAPIDAPI_KEY`

### Dependencies

Install the dependencies using the provided `requirements.txt`:

```bash
pip install -r requirements.txt
```

---

## Usage

### Running the App

Run the application locally:

```bash
streamlit run app.py
```

The app will be accessible at `http://localhost:8501` in your web browser.

### How to Use

1. **Provide a Source**:
   - Upload a PDF, enter a website URL, provide a YouTube video link, or input a topic to research.
2. **Set Parameters**:
   - Choose the tone (Casual, Formal, Humorous, Youthful) and duration (1–60 minutes).
   - Add custom names/descriptions for the host and guest if desired.
   - Optionally include sponsored content and background music.
3. **Generate**:
   - Click `Generate Podcast` to start the process. Wait a few moments for your podcast to be ready.
4. **Edit and Regenerate**:
   - Edit the transcript if needed and regenerate the audio.
5. **Post-Podcast Q&A**:
   - Ask up to 5 follow-up questions via text or voice input.

---

## Key Features Explained

### Input Options
- **PDF**: Upload a document, and MyPod will extract its text.
- **Website URL**: Scrape and summarize content from a webpage.
- **YouTube**: Transcribe captions from YouTube videos.
- **Research Topic**: Gather insights from RSS feeds, Wikipedia, and other sources.

### Customization
- Personalize the host and guest details for a tailored podcast experience.
- Integrate sponsored content seamlessly into the podcast script.
- Use custom background music for added flair.

### Audio Generation
- Uses high-quality Text-to-Speech (TTS) to produce natural-sounding audio.
- Mixes background music with generated speech for professional-grade podcasts.

### Post-Podcast Q&A
- Allows users to interact with the AI for further clarification or discussion on the topic.
- Supports text and voice-based inputs.

---

## Files and Structure

- **`app.py`**: Main application file for Streamlit.
- **`prompts.py`**: Contains system prompts for script generation.
- **`qa.py`**: Handles the Q&A functionality.
- **`utils.py`**: Utility functions for text processing, audio generation, and API calls.
- **`requirements.txt`**: List of dependencies.

---

## API Integration

### Groq API
Used for generating podcast scripts and answering follow-up questions.

### Deepgram API
Handles transcription and Text-to-Speech (TTS).

### RapidAPI (YouTube Transcription)
Extracts captions from YouTube videos for use in podcasts.

---

## Environment Variables
Ensure the following environment variables are set:

- `GROQ_API_KEY`: API key for Groq.
- `DEEPGRAM_API_KEY`: API key for Deepgram.
- `RAPIDAPI_KEY`: API key for RapidAPI (YouTube transcription).

---

## Future Enhancements

- Add support for additional languages.
- Enhance customization options for tone and audio styles.
- Expand Q&A functionality with more dynamic interactions.
- Integrate analytics for user engagement tracking.

---

## License

This project is licensed under the MIT License. See the LICENSE file for details.

---

## Acknowledgments

- Streamlit for the interactive interface.
- OpenAI Whisper for speech recognition.
- Deepgram and Groq for advanced AI capabilities.

For more information contact Siddharth Arya on siddhartharya@gmail.com