import gradio as gr
import PIL.Image
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], stream=True)
    
    return response.resolve()

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