deepseek-local 0.1.1

A Python library for running DeepSeek-Coder locally using Ollama.

DeepSeek-Local

🚀 DeepSeek-Local is a Python package that allows you to run DeepSeek-Coder locally using Ollama. With this package, you can generate and modify code using DeepSeek-Coder, all without requiring an internet connection!

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✨ Features

• Offline AI Coding Assistance – Run DeepSeek-Coder locally via Ollama.
• Simple Installation – Easy setup with pip install.
• Seamless Integration – Use the package in any Python project.
• No Internet Required – Works entirely on your local machine.

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📥 Installation

1️⃣ Prerequisites

Ensure you have the following installed on your system:

• Python 3.8+
• Ollama (Download Here)

2️⃣ Install DeepSeek-Local

pip install deepseek-local

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🚀 Usage

✅ Check if Ollama is Installed

from deepseek_local.utils import is_ollama_installed

if is_ollama_installed():
    print("Ollama is installed and ready to use!")
else:
    print("Please install Ollama first.")

🔄 Install DeepSeek-Coder Model

from deepseek_local import install_deepseek

install_deepseek()

🤖 Run DeepSeek-Coder

from deepseek_local import run_deepseek

response = run_deepseek("Write a Python function to reverse a string.")
print(response)

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⚡ Troubleshooting

If you encounter issues, try the following:

• Ensure Ollama is installed and accessible from the terminal:

  ollama list
  

• If run_deepseek() doesn’t return a response, verify that DeepSeek-Coder is installed:

  ollama run deepseek-coder "Test query"
  

• If problems persist, restart your terminal and ensure Python can detect Ollama.

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🌍 Contributing

We welcome contributions! To contribute:

1. Fork this repository 🍴
2. Create a feature branch (git checkout -b feature-name)
3. Commit your changes (git commit -m "Added feature XYZ")
4. Push to GitHub (git push origin feature-name)
5. Submit a Pull Request 🛠️

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📄 License

This project is licensed under the MIT License.

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📬 Contact

Have questions or suggestions? Open an issue or reach out!

💻 Email: [[e-mail]]

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⭐ If you find this project useful, give it a star! ⭐