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(pro, image):
    response = model.generate_content([pro, image])
    print(response.text)
    e = response.text
    return e

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

# Markdown après l'interface Gradio
markdown = f"""
{e} 
"""

with gr.Blocks() as demo:
    gr.Markdown(markdown, latex_delimiters=[{"left": "$$", "right": "$$", "display": True}])
demo.queue().launch()