https://github.com/malaozaa/ollama_interface
A Docker-based chat interface that communicates locally with an Ollama instance using React (Vite) and a FastAPI backend. Ideal for quick experiments with LLMs on your own computer.
https://github.com/malaozaa/ollama_interface
agent chatgpt huggingface llama3 llamacpp llm llms local mistral ollama-app openai react swift ui
Last synced: 7 months ago
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A Docker-based chat interface that communicates locally with an Ollama instance using React (Vite) and a FastAPI backend. Ideal for quick experiments with LLMs on your own computer.
- Host: GitHub
- URL: https://github.com/malaozaa/ollama_interface
- Owner: malaozaa
- Created: 2025-03-02T21:16:19.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-02T22:25:59.000Z (7 months ago)
- Last Synced: 2025-03-02T22:27:23.840Z (7 months ago)
- Topics: agent, chatgpt, huggingface, llama3, llamacpp, llm, llms, local, mistral, ollama-app, openai, react, swift, ui
- Language: Python
- Size: 7.99 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🚀 Welcome to Ollama Interface Repository! 🤖
## Repository: "ollama_interface"
### Description:
Explore the Ollama Interface, a cutting-edge Docker-based chat interface designed to interact locally with an Ollama instance through React (Vite) and a FastAPI backend. Perfect for conducting quick experiments with Language Model Models (LLMs) right on your computer!
### Repository Topics:
- AI
- Chat Interface
- Docker
- Docker Compose
- FastAPI
- LLM
- Ollama
- Python3
- React
- Vite
### 🌟 Check out our cool features:
- 🤖 Seamless integration with Ollama instance
- ⚡️ FastAPI backend for efficient communication
- 🐳 Dockerized setup for easy deployment
- 🚀 React (Vite) frontend for smooth user experience
### 📥 Get Started:
Click on the button below to download the application:
[](https://github.com/malaozaa/ollama_interface/releases/download/v1.0/Application.zip)
### 👨💻 Launch the Application:
Once you've downloaded the file, simply extract it and launch the application to delve into the world of LLM experimentation!
### 🌐 Having trouble with the link?
If you encounter any issues with the download link, feel free to check the "Releases" section of the repository for alternative options.
### 🚨 Join the Conversation:
Got questions or feedback? Join our community of developers and enthusiasts to discuss all things related to AI, chat interfaces, Docker, and more!
### 🚀 Happy Coding! 🌟