A Python-based graphical interface for interacting with Ollama language models. This application allows you to select a model, input prompts, and receive real-time responses while maintaining a conversation history for better context.
- Select a Model: Choose from a list of available Ollama models to interact with. The dropdown menu allows you to easily switch between different models.
- Generate Responses: Input your prompt in the text box and click "Generate Response" to receive real-time answers from the selected model.
- Export Responses: Save the generated responses to a text file for future reference or documentation.
- No Docker Required: The application is designed to run directly on your local machine without the need for Docker or complex setups.
- User-Friendly Interface: The intuitive and modern interface makes it easy for users to interact with the models and manage conversations.
- Syntax Highlighting: Responses containing Python code are highlighted for better readability.
- Python: Core programming language.
- Tkinter: For building the graphical user interface (GUI).
- Ollama: Local language models for generating responses.
- LangGraph: For managing conversation history and state.
- Pygments: For syntax highlighting in responses.
- Requests: For fetching available Ollama models.
- Clone the Repository:
git clone https://github.com/your-username/Chat-Interface-GUI-Ollama-Py.git cd Chat-Interface-GUI-Ollama-Py
Ensure you have Python installed, then run: pip install -r requirements.txt
Run the Application: python main.py