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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)
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