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app.py
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import os
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import gradio as gr
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import google.generativeai as genai
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# Initialize the Gemini API
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def initialize_gemini():
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api_key = os.getenv("GOOGLE_API_KEY")
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if not api_key:
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raise ValueError("GOOGLE_API_KEY is not set in environment variables.")
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genai.configure(api_key=api_key)
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return genai.GenerativeModel("gemini-2.0-flash-exp") # Assuming gemini-2.0-flash-exp is the correct model name
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# Handle file inputs and text to generate a response
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def generate_response(text_input, files):
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contents = []
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if text_input:
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contents.append({"text": text_input}) # Add text input to the contents
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for file in files:
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with open(file.name, "rb") as f:
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data = f.read()
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# Guess the MIME type from the file input
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mime_type = gr.io.utils.guess_mime_type(file.name)
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if mime_type:
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contents.append({
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"mime_type": mime_type,
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"data": data
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})
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model = initialize_gemini()
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response = model.generate_content(contents)
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response.resolve()
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return response.text
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# Gradio Interface
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def setup_interface():
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with gr.Blocks() as app:
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with gr.Row():
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text_input = gr.Textbox(label="Enter any text:", placeholder="Type your question or comment here...")
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file_input = gr.File(label="Upload your files", file_types=["image", "video", "audio", "pdf"])
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submit_button = gr.Button("Generate Response")
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response_output = gr.Textbox(label="Response from Gemini", placeholder="Response will appear here...")
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submit_button.click(
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fn=generate_response,
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inputs=[text_input, file_input],
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outputs=[response_output]
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)
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return app
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# Run the interface
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if __name__ == "__main__":
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app = setup_interface()
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app.launch(share=True) # Set `share=True` for Hugging Face Spaces or public deployment
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