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from flask import Flask, request, render_template
import google.generativeai as genai
import os
from PIL import Image
import io
app = Flask(__name__)
# Configuration de l'API Gemini
token = os.environ.get("TOKEN")
genai.configure(api_key=token)
generation_config = {
"temperature": 1,
"top_p": 0.95,
"top_k": 64,
"max_output_tokens": 8192,
}
safety_settings = [
{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
{"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
]
mm = """resous cet exercice. tu répondras en détaillant au maximum ton procédé de calcul. réponse attendue uniquement en Latex
"""
model = genai.GenerativeModel(
model_name="gemini-1.5-pro",
generation_config=generation_config,
safety_settings=safety_settings,
)
@app.route("/", methods=["GET", "POST"])
def index():
e = ""
if request.method == "POST":
if "image" not in request.files:
e = "Aucune image sélectionnée."
else:
image_file = request.files["image"]
try:
image = Image.open(io.BytesIO(image_file.read()))
response = model.generate_content([mm, image]) # Passage de l'image
print(response.text)
e = response.text
except Exception as e: # gérer les erreurs potentielles d'ouverture de l'image
e = f"Erreur lors du traitement de l'image : {str(e)}"
return render_template("index.html", e=e)
if __name__ == "__main__":
app.run(debug=True) |