wehub-resource-sync
60 lines
1.7 KiB
Markdown
60 lines
1.7 KiB
Markdown
# YouTube Trend Analysis with CrewAI and BrightData
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This project implements a YouTube Trend Analysis with CrewAI and BrightData.
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- [Bright Data](https://brdta.com/dailydoseofds) is used to scrape YouTube videos.
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- CrewAI is used to analyze the transcripts of the videos and generate a summary.
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- Streamlit is used to create a web interface for the project.
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---
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## Setup and installations
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**Get BrightData API Key**:
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- Go to [Bright Data](https://brdta.com/dailydoseofds) and sign up for an account.
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- Once you have an account, go to the API Key page and copy your API key.
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- Paste your API key by creating a `.env` file as follows:
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```
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BRIGHT_DATA_API_KEY=your_api_key
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```
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**Setup Ollama**:
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```bash
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# setup ollama on linux
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curl -fsSL https://ollama.com/install.sh | sh
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# pull llama 3.2 model
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ollama pull llama3.2
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```
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**Install Dependencies**:
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Ensure you have Python 3.11 or later installed.
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```bash
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pip install streamlit ollama crewai crewai-tools
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```
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---
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## Run the project
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Finally, run the project by running the following command:
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```bash
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streamlit run app.py
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```
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---
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## 📬 Stay Updated with Our Newsletter!
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**Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com)
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[](https://join.dailydoseofds.com)
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---
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## Contribution
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Contributions are welcome! Please fork the repository and submit a pull request with your improvements.
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