app.py

import gradio as gr
import google.generativeai as genai
from IPython.display import Markdown
import textwrap

def to_markdown(text):
    if text is not None:
        text = text.replace('•', '  *')
        return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))
    else:
        return Markdown("No response received.")

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)
    
    markdown_response = to_markdown(response.resolve())
    return markdown_response

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