bryangsmith
MCP Server
bryangsmith
public

streamlit_agent_chat

Playing around with Streamlit, Ollama, Agents, and MCP

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Python
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About This Server

Playing around with Streamlit, Ollama, Agents, and MCP

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

# Streamlit LLM Chat with Ollama

A Streamlit application that provides a chat interface with Gemma3:1b via Ollama, using Langgraph for agent-based workflows.

## Setup

1. Make sure you have Python 3.11 installed
2. Install and run Ollama: https://ollama.com/
3. Pull the Gemma3:1b model: `ollama pull gemma3:1b`
4. Set up the Python environment:
   ```bash
   python3.11 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt
   ```

## Running the Application

```bash
streamlit run app/main.py
```

## Features

- Chat with Gemma3:1b via Ollama
- Structured agent workflow using Langgraph
- Expandable for tool calling capabilities 

Quick Start

1

Clone the repository

git clone https://github.com/bryangsmith/streamlit_agent_chat
2

Install dependencies

cd streamlit_agent_chat
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerbryangsmith
Repostreamlit_agent_chat
Language
Python
License-
Last fetched8/8/2025

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