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# -*- 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() |