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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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import textstat # For readability and complexity score
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# Ensure the API key is securely set
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GOOGLE_API_KEY = os.getenv("AIzaSyBxv9sXG1dyl4ugOOMmMU9QgyMYSvVKg5s") # Load API key from environment variable
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genai.configure(api_key=GOOGLE_API_KEY)
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# Load the Gemini Model
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model = genai.GenerativeModel(model_name="models/gemini-2.0-pro") # Upgraded model
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def analyze_input(text, file):
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try:
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if file is not None:
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with open(file, "r", encoding="utf-8") as f:
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text = f.read()
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elif not text.strip():
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return "β οΈ Error: Please enter text or upload a file.", "", "", ""
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text = text[:3000] # Increased input text limit
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prompt = f"Analyze, summarize, and extract key insights from this document:\n\n{text}"
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response = model.generate_content([prompt], stream=False)
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result = response.text if response else "No response from AI."
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word_count = len(text.split())
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# Additional insights
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insight_prompt = f"Provide key topics, sentiment analysis, and readability score for this document:\n\n{text}"
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insight_response = model.generate_content([insight_prompt], stream=False)
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insights = insight_response.text if insight_response else "No insights available."
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# Readability score
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readability_score = textstat.flesch_reading_ease(text)
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grammar_check = f"Readability Score: {readability_score:.2f} (Higher is easier to read)"
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return result, f"π Word Count: {word_count}", insights, grammar_check
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except Exception as e:
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return f"β οΈ Error: {str(e)}", "", "", ""
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def clear_inputs():
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return "", None, "", "", "", ""
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def generate_downloadable_file(text):
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if text.strip():
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file_path = "analysis_result.txt"
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with open(file_path, "w", encoding="utf-8") as f:
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f.write(text)
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return file_path
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else:
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return None
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# Gradio UI with an enhanced layout
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("""
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# π **AI-Powered Text & File Analyzer**
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π Upload a `.txt` file or enter text manually to get an AI-generated analysis, summary, and insights.
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""")
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with gr.Row():
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text_input = gr.Textbox(label="βοΈ Enter Text", placeholder="Type or paste your text here...", lines=6)
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file_input = gr.File(label="π Upload Text File (.txt)", type="filepath")
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with gr.Row():
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analyze_button = gr.Button("π Analyze", variant="primary")
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clear_button = gr.Button("ποΈ Clear", variant="secondary")
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with gr.Column():
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output_text = gr.Textbox(label="π Analysis & Summary", lines=10, interactive=False)
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word_count_display = gr.Textbox(label="π Word Count", interactive=False)
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insights_display = gr.Textbox(label="π AI Insights (Topics & Sentiment)", lines=5, interactive=False)
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readability_display = gr.Textbox(label="π Readability & Grammar Check", interactive=False)
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with gr.Row():
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download_button = gr.Button("β¬οΈ Download Result", variant="success", size="sm")
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download_file = gr.File(label="π Click to Download", interactive=False)
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analyze_button.click(analyze_input, inputs=[text_input, file_input], outputs=[output_text, word_count_display, insights_display, readability_display])
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clear_button.click(clear_inputs, inputs=[], outputs=[text_input, file_input, output_text, word_count_display, insights_display, readability_display, download_file])
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download_button.click(generate_downloadable_file, inputs=output_text, outputs=download_file)
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# Launch the Gradio app
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demo.launch()
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