app.py

import streamlit as st
from google import genai
from google.genai import types
from PIL import Image
import io
import base64
import time
import json

# Configuration de l'API Gemini
GOOGLE_API_KEY = "YOUR_API_KEY"  # Remplacez par votre clé API
genai.configure(api_key=GOOGLE_API_KEY)
client = genai.GenerativeModel('gemini-pro-vision')

# Fonction pour générer la réponse en streaming
def solve_math_problem(image_data):
    img = Image.open(io.BytesIO(image_data))

    # Convertir l'image en base64 pour l'envoyer à l'API Gemini
    buffered = io.BytesIO()
    img.save(buffered, format="PNG")
    img_str = base64.b64encode(buffered.getvalue()).decode()

    # Créer le contenu de la requête pour l'API Gemini
    contents = [
        {'parts': [{'mime_type': 'image/png', 'data': img_str}]},
        {'parts': [{'text': "Résous ce problème?"}]},
    ]

    # Configuration pour inclure les pensées (si disponible)
    config = {
        'thinking_config': {'include_thoughts': True}
    }

    response_stream = client.generate_content(
        contents=contents,
        model="gemini-2.0-flash-thinking-exp-01-21",
        stream=True,
        generation_config=config
    )

    for chunk in response_stream:
        for part in chunk.parts:
            if part.text:
                yield part.text

# Interface Streamlit
st.set_page_config(page_title="Mariam M-0", page_icon="🧮", layout="centered")

st.title("Mariam M-0")
st.subheader("Solution Mathématique Intelligente")

uploaded_file = st.file_uploader("Déposez votre image ici", type=["jpg", "jpeg", "png"])

if uploaded_file is not None:
    image_data = uploaded_file.getvalue()
    st.image(image_data, caption="Image téléchargée.", use_column_width=True)

    if st.button("Résoudre le problème"):
        with st.spinner("Analyse en cours..."):
            # Utilisation d'un conteneur pour mettre à jour le texte en streaming
            thoughts_container = st.empty()
            answer_container = st.empty()
            full_thoughts = ""
            full_answer = ""

            for response_text in solve_math_problem(image_data):
              try:
                  response_json = json.loads(response_text)
                  # Vérifier si la réponse contient une clé 'thoughts' ou 'answer'
                  if 'thoughts' in response_json:
                      thoughts_content = response_json['thoughts']
                      full_thoughts += thoughts_content + "  \n"
                      thoughts_container.markdown(f"**Processus de Réflexion:**\n\n{full_thoughts}")
                  elif 'answer' in response_json:
                      answer_content = response_json['answer']
                      full_answer += answer_content + "  \n"
                      answer_container.markdown(f"**Solution:**\n\n{full_answer}")
              except json.JSONDecodeError:
                  print(f"Could not parse as JSON: {response_text}")
                  continue
                               
                
        st.success("Problème résolu!")