app.py

import gradio as gr
import google.generativeai as genai

import os 
token=os.environ.get("TOKEN") 
e = ""
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. réponse attendue uniquement en Latex 

"""
model = genai.GenerativeModel(model_name="gemini-1.5-pro",
                              generation_config=generation_config,system_instruction=mm ,
                              safety_settings=safety_settings)


# Fonction pour générer le contenu
def generate_content(image):
    global e
    
    if not image:
        e =" djo"
        
    else:
        response = model.generate_content([image])
        print(response.text)
        e= response.text
        
    return e



iface = gr.Interface(fn=generate_content, inputs=gr.Image(type='pil'), outputs= gr.Textbox())

iface.launch()