Upload 6 files

Dockerfile

@@ -1,22 +1,23 @@
 FROM ubuntu:22.04
 
 # System deps
-:contentReference[oaicite:10]{index=10}
+RUN apt-get update && apt-get install -y curl sqlite3 python3 python3-pip
 
 # Install Ollama
-:contentReference[oaicite:11]{index=11}
+RUN curl -fsSL https://ollama.com/install.sh | sh
 
 # Copy python deps
-:contentReference[oaicite:12]{index=12}
-:contentReference[oaicite:13]{index=13}
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy project
 COPY . .
 
-# Non-root user
-:contentReference[oaicite:14]{index=14}
+# Non-root user (recommended for Hugging Face Spaces)
+RUN useradd -ms /bin/bash user && chown -R user:user ./
 USER user
 
 EXPOSE 7860
-:contentReference[oaicite:15]{index=15}
+
+CMD ["./demo.launcher"]
 

README.md

@@ -1,3 +1,29 @@
+---
+title: Ollama MCP Gradio Demo
+emoji: 🚀
+colorFrom: blue
+colorTo: indigo
 sdk: docker
 app_port: 7860
+pinned: false
+tags:
+  - mcp-server-track
+---
+# Ollama MCP Gradio Demo
+
+This Space runs a SQLite MCP server and Gradio client with Ollama and MCP tools, for the Gradio Agents & MCP Hackathon 2025.
+
+- Uses Ollama model: `granite3.1-moe`
+- MCP server on SQLite database
+- Gradio interface with chat and history
+
+## How it works
+
+1. The MCP server exposes tools for adding/reading people.
+2. Ollama model answers via Gradio, using MCP tools in the backend.
+3. All runs on Hugging Face Space via Docker.
+
+## Usage
+
+Type your questions in the chatbox!
 

demo.launcher

@@ -1,8 +1,12 @@
 #!/bin/bash
-:contentReference[oaicite:16]{index=16}
+# Pull your Ollama model (can be moved to build if desired)
+ollama pull granite3.1-moe
 ollama serve &
 sleep 5
 
-# Launch your app
-:contentReference[oaicite:17]{index=17}
+# Start MCP server in the background
+python3 server.py &
+
+# Start Gradio (client.py) on 0.0.0.0:7860
+python3 client.py --server_name 0.0.0.0 --server_port 7860