# YouTube Trend Analysis with CrewAI and BrightData

This project implements a YouTube Trend Analysis with CrewAI and BrightData.
- [Bright Data](https://brdta.com/dailydoseofds) is used to scrape YouTube videos.
- CrewAI is used to analyze the transcripts of the videos and generate a summary.
- Streamlit is used to create a web interface for the project.


---
## Setup and installations

**Get BrightData API Key**:
- Go to [Bright Data](https://brdta.com/dailydoseofds) and sign up for an account.
- Once you have an account, go to the API Key page and copy your API key.
- Paste your API key by creating a `.env` file as follows:

```
BRIGHT_DATA_API_KEY=your_api_key
```

**Setup Ollama**:
   ```bash
   # setup ollama on linux 
   curl -fsSL https://ollama.com/install.sh | sh
   # pull llama 3.2 model
   ollama pull llama3.2 
   ```


**Install Dependencies**:
   Ensure you have Python 3.11 or later installed.
   ```bash
   pip install streamlit ollama crewai crewai-tools
   ```

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## Run the project

Finally, run the project by running the following command:

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



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## Contribution

Contributions are welcome! Please fork the repository and submit a pull request with your improvements.