Interact with videos like never before! Upload or paste a YouTube link, and our app processes the audio, transcribes it, and lets you chat directly with your video content using cutting-edge language models.

• Upload or paste a YouTube link to fetch your video.
• Process the audio from the video and transcribe it using advanced models.
• Engage in conversation directly with your video content.

git clone https://github.com/Devparihar5/TalkieAI-.git

cd TalkieAI-

python -m venv venv

Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

.\venv\Scripts\activate.ps1

source venv/bin/activate

python -m pip install -U pip

pip install -r requirements.txt

mkdir .streamlit
echo HUGGINGFACEHUB_API_TOKEN = "YOUR_HUGGING_FACE_API_TO_FETCH_MODELS" > .streamlit/secrets.toml

Note: You can easily get your API Keys from HuggingFace

streamlit run Upload_Your_Video.py

Feel free to engage with your videos in a whole new way with TalkieAI!

Replace YOUR_HUGGING_FACE_API_TO_FETCH_MODELS with your actual Hugging Face API token. This ensures that the token is directly set in the .streamlit/secrets.toml file during setup.

We welcome contributions from the community to enhance TalkieAI! If you'd like to contribute, please follow these steps:

1. Fork the repository here.
2. Clone your forked repository to your local machine.
3. Create a new branch for your feature or bug fix: git checkout -b feature/your-feature-name.
4. Implement your changes and ensure they follow the project's coding style and guidelines.
5. Commit your changes: git commit -m "Your descriptive commit message".
6. Push to the branch: git push origin feature/your-feature-name.
7. Submit a pull request to the main repository.
8. Wait for feedback and address any requested changes.

Thank you for being so interested in contributing to TalkieAI! Your contributions are highly appreciated.