Ollama Chatbox Project

A collection of Python applications demonstrating chat interfaces powered by local Ollama AI models, including both CLI and web-based (Streamlit) UIs.

Features

• Streamlit Web Chatbox (chatbox.py):
  Interactive chat UI with real-time streaming responses from Ollama's Deepseek-R1 7B model.
  Maintains chat history during the session.

• CLI Chatbot (main.py):
  Command-line interface for chatting with the Deepseek-R1 7B model.

• Demo & Test Apps (streamlit_test.py, streamlit_demo.py):
  Simple Streamlit examples for UI and session state management.

Setup

1. Install Ollama
   Ollama installation guide
   Or via terminal:

   curl https://ollama.ai/install.sh | sh

2. Start Ollama server

   ollama serve

3. Pull the Deepseek model

   ollama pull deepseek-r1:7b

4. Install Python dependencies

   pip install streamlit ollama-python

Usage

Run the Streamlit Chatbox

streamlit run chatbox.py

• Opens in your browser at http://localhost:8501
• Enter questions and receive streaming AI responses

Run the CLI Chatbot

python main.py

• Type messages in the terminal and get responses

File Overview

• chatbox.py — Main Streamlit chat interface with Ollama integration
• main.py — CLI chatbot using Ollama
• streamlit_test.py, streamlit_demo.py — UI and session state demos

Requirements

• Python 3.8+
• Ollama running locally (ollama serve)
• Deepseek-R1 7B model pulled

License

MIT