Delete app.py

app.py

@@ -1,75 +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 pdfplumber
-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
-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 using pdfplumber."""
-    text = ""
-    with pdfplumber.open(pdf_file) as pdf:
-        for page in pdf.pages:
-            text += page.extract_text() or ""  # Extract text safely
-    return text.strip()
-
-def summarize_text(text, length, style):
-    """Summarize text with adjustable length and style."""
-    prompt = (
-        f"""
-        Read the following document and summarize it in {style.lower()} format.
-        Keep the summary {length.lower()}.
-        Follow this step-by-step approach:
-        1. Identify key sections.
-        2. Extract essential points.
-        3. Remove unnecessary details.
-        4. Ensure factual accuracy without adding extra information.
-
-        Document:
-        {text[:10000]}  # Limit input to 10,000 characters for efficiency
-        """
-    )
-    response = llm.predict(prompt)
-    return response.strip()
-
-def process_pdf(file, length, style):
-    """Extract text and summarize PDF using Mistral-8x7B with customization."""
-    if not file:
-        return "No file uploaded."
-
-    text = extract_text_from_pdf(file.name)  # Extract text
-    if not text:
-        return "Could not extract text from the PDF. Try another file."
-
-    return summarize_text(text, length, style)
-
-# Create Gradio Interface
-interface = gr.Interface(
-    fn=process_pdf,
-    inputs=[
-        gr.File(label="Upload a PDF"),
-        gr.Radio(["Short", "Medium", "Long"], label="Summary Length", value="Medium"),
-        gr.Radio(["Bullets", "Key Takeaways", "Concise Paragraph"], label="Summary Style", value="Key Takeaways"),
-    ],
-    outputs="text",
-    title="📄PDF Summarizer",
-    Description "Upload a PDF file and get a structured summary with customization options."
-)
-
-# Run the app
-interface.launch()