Chatbot (Gemma3+ Ollama + Streamlit)

A simple chatbot built with Ollama running the gemma3:1b model and a Streamlit UI.
This project lets you run a local chatbot with conversation history, multi-chat support, and an interactive interface.

🚀 Features

• Chat with the gemma3:1b model locally
• Conversation history (saved per chat)
• Multiple chat sessions (switch between them in the sidebar)
• Clear or create new chat sessions easily
• Scrollable chat UI
• Docker support for deployment

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Project Structure

Gemma3_chatbot/
│── __pycache__/
│── Image/
│── venv/
│── backend.py
│── Dockerfile
│── main.py
│── README.md
│── requirements.txt

Technologies

• Python 3.10+

• Streamlit

• Ollama

• Requests / httpx (for API calls)

⚙️ Installation

1. Install Python and VS Code

Make sure you have Python 3.10+ installed.

Install VS Code and open the project folder.

2. Install Ollama CLI

Ollama provides CLI tools to interact with their models.

Install Ollama: Follow instructions at https://ollama.com/docs for your OS.

3. Open VS Code

Create a new folder named gemma3_chatbot.

4. Create a requirements.txt with:

subprocess-tee
ollama

5. Create a virtual environment

Open a terminal in the folder and run:
python -m venv venv
source venv/bin/activate       # Linux/macOS
venv\Scripts\activate          # Windows

6. Install dependencies:

pip install -r requirements.txt

7. Run the App

Local

streamlit run main.py

💬 Chatbot using Ollama Gemma3:1b. Type 'exit' to quit.

You: Hello!
Bot: Hello! How can I assist you today?

Docker

docker build -t gemma3-chatbot .
docker run -p 8501:8501 gemma3-chatbot

📸 Screenshots

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✍️ Author

Debbrath Debnath

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