💡 Deepseek R1 Chatbot

This project is a chatbot powered by the Deepseek R1 model, built using Streamlit. It leverages the Ollama API to process user inputs and generate real-time responses. 🚀

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📌 Features

• ✅ Interactive chatbot with Streamlit
• ✅ AI responses using the Deepseek R1 model
• ✅ Local execution with Ollama API
• ✅ Real-time conversation support

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🛠️ Installation & Setup

1️⃣ Install Dependencies

First, ensure you have Python and Git installed. Then, create a virtual environment and install the required dependencies:

# Create a virtual environment (optional)
python -m venv myenv
source myenv/bin/activate  # macOS/Linux
myenv\Scripts\activate     # Windows

# Install required packages
pip install streamlit requests

2️⃣ Install Ollama and Deepseek R1 Model

Make sure you have Ollama installed. You can install it using:

# Install Ollama (if not installed)
pip install ollama  # Windows
winget install ollama # Windows
brew install ollama    # macOS

Now, download and run the Deepseek R1 model:

ollama run deepseek-r1

This will start the Ollama API at http://localhost:11434.

3️⃣ Run the Project

Now, you can start the Streamlit application:

streamlit run app.py

Once the server starts, open the generated URL in your browser and start chatting! 🎉

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🔗 Technologies Used

• Python 🐍
• Streamlit 🖥️
• Ollama API 🌍
• Deepseek R1 Model 🤖

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💡 Contributing

If you’d like to contribute:

• Fork the repository 🍴
• Add a feature or fix a bug 🛠️
• Submit a Pull Request (PR)! 🚀

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📄 License

This project is licensed under the MIT License. 🎓

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How to Add this README to Your GitHub Repository

After creating the README.md file, you can add it to your GitHub repo using:

git add README.md
git commit -m "Added README file 📜"
git push origin main