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) resultat = response.text return resultat # Interface Gradio iface = gr.Interface(fn=generate_content, inputs=[gr.Textbox(), gr.Image(type='pil')], outputs="text") # Lancez l'interface Gradio iface.launch(share=True) # Ajoutez la sortie en Markdown markdown = f"resultat: {resultat}" # Utilisez Gradio Blocks pour afficher en Markdown with gr.Blocks() as demo: gr.Markdown(markdown) demo.queue().launch()