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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)
c = response.text # Utilisez la variable c au lieu de e
return c
# Fonction pour afficher le contenu en markdown
def display_markdown(c): # Utilisez le paramètre c
markdown = f"""
{c}
"""# Utilisez la variable c
with gr.Blocks() as demo:
gr.Markdown(markdown, latex_delimiters=[{ "left": "$$", "right": "$$", "display": True }])
return demo
# Interface Gradio
iface = gr.Interface(fn=[generate_content, display_markdown], inputs=[gr.Textbox(),gr.Image(type='pil')], outputs=["text", "html"])
iface.launch(share=True)
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