PythonOLLM

python ollama interface. simple. basic.

🧠 Ollama Model Selector GUI

This is a minimal Python GUI tool for interacting with Ollama via its REST API. The application provides:

• A dropdown menu for selecting from locally available Ollama models
• A multi-line prompt entry field
• A scrollable output pane that displays the LLM's response

It's intended as a quick, local interface for testing prompts and inspecting responses from any Ollama-compatible model (e.g., llama3, mistral, etc.).

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📂 Files in This Repository

• ollama_gui.py – Main GUI script (you will create this manually)
• (Other files if applicable...)

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⚙️ Requirements

• Python 3.7 or higher
• Ollama installed and running locally
• At least one model pulled via Ollama (e.g. ollama pull llama3)

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🚀 How to Use

1. Start Ollama
   Make sure Ollama is running in the background. You should be able to open this link in your browser:
   http://localhost:11434/api/tags

2. Open a Text Editor
   Open your preferred editor (e.g., VS Code, Notepad, Sublime Text).

3. Create a new Python file
   Save it as:

   ollama_gui.py
   

4. Copy the script contents
   Paste in the full GUI code found in this repository under ollama_gui.py.

5. Run the application
   Open a terminal and execute:

   python ollama_gui.py

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💡 Example Workflow

• Select a model from the dropdown.
• Type your prompt into the text area.
• Click Send Prompt.
• View the model’s response in the scrolling display area above.

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📌 Notes

• This is a local tool: no internet is required once the model is downloaded.
• Useful for quick LLM experimentation without needing a full web app.
• Built using Python’s built-in tkinter and requests libraries — no external dependencies required.