Meetings Summarizer

This project is a Audio Summarizer built with Streamlit. It allows users to upload video or audio files, transcribe content, summarize it, ask contextual questions, and convert summaries to audio.

Features

Features

• Transcription: Extract audio from video files and transcribe it using the Groq Whisper model.
• Summarization: Summarize the transcription with an AI model.
• Question Answering: Ask contextual questions based on the transcription or summary.
• Text-to-Speech: Convert text summaries into audio files.
• File Upload: Upload videos or audio files directly from the browser.
• Real-time Updates: Display transcriptions, summaries, and answers dynamically.
• Audio Playback: Listen to AI-generated audio summaries.
• Responsive UI: Styled with modern UI components and animations.

Tech Stack

Backend

• Streamlit: For building and testing apps.
• Groq API: For transcription and AI processing.
• Pyttsx3: For text-to-speech.
• MoviePy: For extracting audio from video.
• Pydub: For audio processing.
• dotenv: For environment variable management.

Installation

Backend

1. Clone the repository:

   git clone https://github.com/Amanbig/audio_summarizer.git

2. Create a virtual environment and activate it:

   cd meetings_app/backend
   python -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables: Create a .env file and add your Groq API key:

   GROQ_API_KEY=<your-groq-api-key>
   

5. Run the backend

   streamlit run app.py

Contributing

1. Fork the repository on GitHub.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Make your changes and commit (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Create a new Pull Request for the changes made.