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main.py
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import gradio as gr
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import google.generativeai as genai
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from markitdown import MarkItDown
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from typing import Union
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def extract_content(input_source: str) -> str:
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"""Extract text content using MarkItDown"""
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try:
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md = MarkItDown()
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result = md.convert(input_source)
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return result.text_content
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except Exception as e:
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raise ValueError(f"Error processing {input_source}: {str(e)}")
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def summarize_content(content: str, api_key: str) -> str:
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"""Summarize text using Gemini Flash"""
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genai.configure(api_key=api_key)
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model = genai.GenerativeModel('gemini-1.5-flash')
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response = model.generate_content(
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f"Create a structured summary with key points using bullet points. "
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f"Focus on main ideas and important details:\n\n{content}"
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)
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return response.text
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def process_input(api_key: str, url: str = None, file: str = None) -> str:
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"""Handle both URL and file inputs"""
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try:
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if url:
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text = extract_content(url)
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elif file:
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text = extract_content(file)
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else:
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return "β οΈ Please provide either a URL or upload a file"
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if not text.strip():
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return "β Error: No text could be extracted from the provided input"
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return summarize_content(text, api_key)
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except Exception as e:
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return f"β Processing Error: {str(e)}"
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# Gradio interface
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("""# π Smart Content Summarizer
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**Powered by Gemini Flash & Microsoft Markitdown**""")
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with gr.Row():
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with gr.Tab("π URL Input"):
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url_input = gr.Textbox(label="Enter URL", placeholder="https://example.com/article")
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url_submit = gr.Button("Summarize URL", variant="primary")
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with gr.Tab("π File Upload"):
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file_input = gr.File(label="Upload Document (PDF, DOCX, TXT)",
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file_types=[".pdf", ".docx", ".txt"])
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file_submit = gr.Button("Summarize File", variant="primary")
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api_key_input = gr.Textbox(label="Google API Key", type="password",
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placeholder="Enter your API key here")
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output = gr.Markdown()
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url_submit.click(
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fn=process_input,
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inputs=[api_key_input, url_input, None],
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outputs=output
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)
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file_submit.click(
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fn=process_input,
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inputs=[api_key_input, None, file_input],
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outputs=output
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)
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if __name__ == "__main__":
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demo.launch()
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