Gaia_Mistral / README.md
Clément Simon
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metadata
title: GAIA Hackathon
emoji: 🌱
colorFrom: green
colorTo: blue
sdk: docker
tags:
  - agriculture
  - ai
  - hackathon
pinned: false
hf_oauth: false

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

To run locally:

uvicorn app:app --host 0.0.0.0 --port 80 and go to http://localhost:80

TO-DO - Brainstorming

Système de carte interactive collaborative, AI-powered par Mistral

Features:

  • une sorte de réseau social
  • Reporting des datas avec Mistral AI + génération d'un dashboard ad hoc
  • Profil utilisateur et centres d'intérêt pour mieux permettre au RAG de cibler ses comptes-rendus
  • newsletter journalière / hebdomadaire
  • filtrage utilisateur dans un rayon de 10, 50, 100km
  • carte interactive avec display d'API qu'on a trouvées sur internet : Par exemple (mes idées, Clément)

Gaia Mistral Chat Demo

Introduction

This project showcases a simple chatbot application built with Gradio and the Mistral AI API. The chatbot is designed to answer questions related to agriculture. Users can ask questions in French, and the chatbot, powered by the Mistral AI's mistral model, will provide responses.

Features

  • Simple chat interface for querying agricultural topics. (MVP 1)
  • Interactive map with chatbot experience (MVP 2)

Requirements

To run this application, you'll need:

  • Python 3.6 or later.
  • An API key from Mistral AI.

Setup

  1. Clone the Repository

    Start by cloning this repository to your local machine:

    git clone <repository-url>
    cd <repository-directory>
    
  2. Install Dependencies

pip install -r requirements.txt
  1. Set Up Your API Key
API_KEY=your_mistral_ai_api_key_here

Running the Application

To launch the chatbot, run the following command in the terminal from the project's root directory:

python3 app.py