app.py

import gradio as gr
import os
import mistralai
import re
import uuid
import secrets
from mistralai.client import MistralClient
from mistralai.models.chat_completion import ChatMessage


Mistralai = "19NAIlRYNoVaNYoNoxkdq1mCmbdAgxaa"
# model = "mistral-large-latest"

client = MistralClient(api_key=Mistralai)



def trigger_example(example):
    chat, updated_history = generate_response(example)
    return chat, updated_history
        
def generate_response(user_message, cid, token, history=None):

    if not token:
        raise gr.Error("Error loading.")
        
    if history is None:
        history = []
    if cid == "" or None:    
        cid = str(uuid.uuid4())

    print(f"cid: {cid} prompt:{user_message}")
    
    history.append(user_message)
    
    stream = client.chat_stream(message=user_message, conversation_id=cid, model='Codestral-22B-v0.1', connectors=[], temperature=0.3)
    
    output = ""
    
    for idx, response in enumerate(stream):
        if response.event_type == "text-generation":
            output += response.text
        if idx == 0:
            history.append(" " + output)
        else:
            history[-1] = output
        chat = [
            (history[i].strip(), history[i + 1].strip())
            for i in range(0, len(history) - 1, 2)
        ] 
        yield chat, history, cid
        
    return chat, history, cid
    

def clear_chat():
    return [], [], str(uuid.uuid4())


examples = [
    "Pouvez-vous expliquer les règles relatives aux heures supplémentaires selon le Code du travail ?",
    "Quels sont les droits et obligations concernant les congés payés selon le Code du travail ?",
    "Quelles sont les conditions requises pour un licenciement pour motif économique en vertu du Code du travail ?",
    "Quelles sont les mesures prévues par le Code du travail en cas de harcèlement au travail ?",
   
]

custom_css = """
#logo-img {
    border: none !important;
}
#chat-message {
    font-size: 14px;
    min-height: 300px;
}
"""

with gr.Blocks(analytics_enabled=False, css=custom_css) as demo:
    cid = gr.State("")
    token = gr.State(value=None)
    
    with gr.Row():
        with gr.Column(scale=1):
            gr.Image("logohf1.jpg", elem_id="logo-img", show_label=False, show_share_button=False, show_download_button=False)
        with gr.Column(scale=3):
            gr.Markdown("""##### Bienvenue sur votre Assistant Code du Travail Français ! """)
            
    with gr.Column():
        with gr.Row():
            chatbot = gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True)
        
        with gr.Row():
            user_message = gr.Textbox(lines=1, placeholder="Question ...", label="Input", show_label=False)

      
        with gr.Row():
            submit_button = gr.Button("Envoyer")
            clear_button = gr.Button("Supprimer la discussion")

                        
        history = gr.State([])
        
        user_message.submit(fn=generate_response, inputs=[user_message, cid, token, history], outputs=[chatbot, history, cid], concurrency_limit=32)
        submit_button.click(fn=generate_response, inputs=[user_message, cid, token, history], outputs=[chatbot, history, cid], concurrency_limit=32)
        
        clear_button.click(fn=clear_chat, inputs=None, outputs=[chatbot, history, cid], concurrency_limit=32)

        user_message.submit(lambda x: gr.update(value=""), None, [user_message], queue=False)
        submit_button.click(lambda x: gr.update(value=""), None, [user_message], queue=False)
        clear_button.click(lambda x: gr.update(value=""), None, [user_message], queue=False)
        
        with gr.Row():
            gr.Examples(
                examples=examples,
                inputs=user_message,
                cache_examples=False,
                fn=trigger_example,
                outputs=[chatbot],
                examples_per_page=100
            )

    demo.load(lambda: secrets.token_hex(16), None, token)

if __name__ == "__main__":
    # demo.launch(debug=True)
    try:
        demo.queue(api_open=False, max_size=40).launch(show_api=False)
    except Exception as e:
        print(f"Error: {e}")