app.py

import gradio as gr
import json

def analyse_prompt(prompt):
    # Ici tu peux remplacer par tes propres appels RAG/LLM pour chaque extraction
    # --- Extraction simulée pour l'exemple ---
    articles = [
        {"code": "A1001", "description": "Tôle acier S235 1mm", "quantite": 10, "source": "stock principal"},
        {"code": "B2002", "description": "Ecrou M8 A4", "quantite": 50, "source": "fournisseur X"}
    ]
    destinataire = {
        "societe": "Société Exemple",
        "nom": "Dupont",
        "prenom": "Jean",
        "email": "jean.dupont@exemple.com"
    }
    delai = "2024-07-15"
    # --- Fin extraction simulée ---
    data = {
        "articles": articles,
        "destinataire": destinataire,
        "delai": delai
    }
    return json.dumps(data, indent=2, ensure_ascii=False)

def greet(name):
    return "Hello " + name + "!!"

demo = gr.Interface(fn=analyse_prompt, inputs="text", outputs="text")

if __name__ == "__main__":
    demo.launch(share=True)