README.md

metadata

title: Cojournalist Data
emoji: 🏛️
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
short_description: Swiss Parliamentary Data Chatbot with Llama-3.1-8B

🏛️ CoJournalist Data

A Swiss Parliamentary Data Chatbot powered by Llama-3.1-8B-Instruct and the OpenParlData MCP server.

Features

• 🤖 Llama-3.1-8B-Instruct - Meta's 8B parameter model with native tool calling support
• 🌍 Multilingual - Support for English, German, French, and Italian
• 🛠️ Tool Calling - Intelligent query routing to parliamentary data APIs
• 🔒 Rate Limited - 50 requests per day per user for cost control
• ⚡ HF Inference Providers - Fast inference via Novita and other providers

Space Settings Required

IMPORTANT: To run this Space, configure the following:

Environment Variables

• Required: HF_TOKEN - Your HuggingFace token with Inference Provider access
• Add this in Space Settings → Repository secrets

Hardware

• CPU Basic (Free) - Sufficient since inference happens via API

Usage

Simply ask questions about Swiss parliamentary data in natural language:

• "Who are the parliamentarians from Zurich?"
• "Show me recent votes about climate policy"
• "What motions were submitted about healthcare in 2024?"

Architecture

• Model: meta-llama/Llama-3.1-8B-Instruct (8B params)
• Inference: HuggingFace Inference Providers (Novita, etc.)
• Framework: Gradio + HuggingFace Hub
• MCP Integration: OpenParlData server for parliamentary data

Cost

• HF PRO: $9/month (recommended)
• Inference: $2/month included credits + pay-per-use
• Estimated Total: ~$12/month for typical usage (1,500 requests/month)
• Space Hardware: FREE (CPU Basic)

With 50 requests/day limit, costs stay predictable and affordable.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference