Delete app.py

app.py

@@ -1,88 +0,0 @@
-# -*- coding: utf-8 -*-
-"""app.ipynb
-
-Automatically generated by Colab.
-
-Original file is located at
-    https://colab.research.google.com/drive/1XblbxoRxB4XOHixjGij789FPD9KjKdhi
-"""
-
-import os
-import PyPDF2
-import gradio as gr
-from langchain_groq.chat_models import ChatGroq
-
-# Set Groq API key securely
-GROQ_API_KEY = os.getenv("GROQ_API_KEY")  # Fetch from environment variables
-
-# Ensure API key is available
-if not GROQ_API_KEY:
-    raise ValueError("GROQ_API_KEY is not set. Add it in Hugging Face Secrets.")
-
-# Initialize LLM (Mistral-8x7B)
-llm = ChatGroq(model_name="mixtral-8x7b-32768")
-
-def extract_text_from_pdf(pdf_file):
-    """Extract text from a PDF file."""
-    text = ""
-    reader = PyPDF2.PdfReader(pdf_file)
-    for page in reader.pages:
-        page_text = page.extract_text()
-        if page_text:
-            text += page_text + "\n"
-    return text
-
-def summarize_text(text, length='Medium', style='Concise Paragraph'):
-    """Summarize the text with CoT and adjustable format."""
-
-    # Adjust summary length
-    length_map = {
-        'Short': 'Summarize in 3-4 lines.',
-        'Medium': 'Summarize in 6-8 lines.',
-        'Long': 'Provide a detailed summary in multiple paragraphs.'
-    }
-
-    # Adjust summary style
-    style_map = {
-        'Bulleted List': 'Format the summary as a list of key points.',
-        'Key Takeaways': 'Extract the most important insights as key takeaways.',
-        'Concise Paragraph': 'Write the summary as a structured paragraph.'
-    }
-
-    prompt = f"""
-    Step 1: Identify the main topics covered in the document.
-    Step 2: Extract key facts, arguments, and conclusions.
-    Step 3: Generate a structured summary based on extracted information.
-    {length_map[length]} {style_map[style]}
-
-    Document:
-    {text[:10000]}
-    """
-
-    response = llm.predict(prompt)
-    return response
-
-def process_pdf(file, length, style):
-    """Extract text and summarize PDF using Mistral-8x7B with customization."""
-    if file is None:
-        return "No file uploaded."
-
-    text = extract_text_from_pdf(file)
-    summary = summarize_text(text, length, style)
-    return summary
-
-# Create Gradio Interface
-interface = gr.Interface(
-    fn=process_pdf,
-    inputs=[
-        gr.File(label="Upload a PDF"),
-        gr.Radio(["Short", "Medium", "Long"], value="Medium", label="Summary Length"),
-        gr.Radio(["Bulleted List", "Key Takeaways", "Concise Paragraph"], value="Concise Paragraph", label="Summary Style")
-    ],
-    outputs="text",
-    title="📄 AI-Powered PDF Summarizer",
-    description="Upload a PDF file and customize the summary format and length."
-)
-
-# Run the app
-interface.launch()