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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(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]) | |
print(response.text) | |
return response.resolve() | |
# Interface Gradio | |
iface = gr.Interface(fn=generate_content, inputs=gr.Image(type='pil'), outputs="text") | |
iface.launch(share=True) | |