Upload app.py

app.py

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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):
+    """Summarize the text"""
+    prompt = f"Summarize the following document:\n\n{text[:10000]}"  # Limit input size
+    response = llm.predict(prompt)
+    return response
+
+def process_pdf(file):
+    """Extract text and summarize PDF using Mistral-8x7B."""
+    if file is None:
+        return "No file uploaded."
+
+    # Read file bytes and process it using PyPDF2
+    pdf_reader = PyPDF2.PdfReader(file)
+    text = ""
+    for page in pdf_reader.pages:
+        page_text = page.extract_text()
+        if page_text:
+            text += page_text + "\n"
+
+    # Limit text size for API efficiency
+    text = text[:10000] if len(text) > 10000 else text
+
+    # Summarize
+    summary = summarize_text(text)
+    return summary
+
+# Create Gradio Interface
+interface = gr.Interface(
+    fn=process_pdf,
+    inputs=gr.File(label="Upload a PDF"),
+    outputs="text",
+    title="📄 PDF Summarizer",
+    description="Upload a PDF file and get a summary"
+)
+
+# Run the app
+interface.launch()