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Create app.py
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app.py
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import gradio as gr
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import google.generativeai as genai
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import os
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from dotenv import load_dotenv
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import PIL.Image
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load_dotenv()
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genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
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model = genai.GenerativeModel("gemini-pro-vision")
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def process_image(img_path, prompt):
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# Use the img_path directly to pass it to the model
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print("Image Path:", img_path)
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print("Prompt:", prompt)
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img = PIL.Image.open(img_path)
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response = model.generate_content([prompt, img], stream=True)
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response.resolve()
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return response.text
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iface = gr.Interface(
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fn=process_image,
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inputs=[gr.Image(type="filepath"), gr.Textbox()],
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outputs="text",
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live=False,
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)
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iface.launch(share=True)
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