import gradio as gr
import google.generativeai as genai

token = "AIzaSyDYhyRoOWBJWOb4bqY5wmFLrBo4HTwQDko"
genai.configure(api_key=token)

# Chargez l'image
model = genai.GenerativeModel(model_name="gemini-pro-vision")

# Fonction pour générer le contenu
def generate_content(image):
    response = model.generate_content(["Write a short, engaging blog post based on this picture. It should include a description of the meal in the photo and talk about my journey meal prepping.", image])
    print(response.text)
    e = response.text
    return e

# Interface Gradio
iface = gr.Interface(fn=generate_content, inputs=gr.Image(type='pil'), outputs="text")
iface.launch(share=True)