app.py

import os
from langchain_core.prompts import PromptTemplate
from langchain.chains.question_answering import load_qa_chain
from langchain_community.document_loaders import PyPDFLoader
import google.generativeai as genai
import gradio as gr

# Function for initialization
def initialize(pdf_file, question):
    try:
        # Access the uploaded file information from Gradio
        file_info = pdf_file

        # Check if a file was uploaded
        if file_info is not None:
            # Construct potential file path based on temporary directory and filename
            file_path = os.path.join("/tmp", file_info.name)  # Adjust temporary directory if needed
            if os.path.exists(file_path):
                # ... rest of your code for processing the PDF using the file path
            else:
                return "Error: The uploaded file could not be found."
        else:
            return "Error: No PDF file was uploaded."

    except Exception as e:
        return f"An error occurred: {e}"  # Generic error handling

# Create a Gradio interface
interface = gr.Interface(
    fn=initialize,
    inputs=[
        gr.File(label="Upload PDF"),  # No need for 'type' argument
        gr.Textbox(label="Question")
    ],
    outputs="text",
    title="GeminiPro Q&A Bot",
    description="Ask questions about the uploaded PDF document.",
)

# Launch the interface
interface.launch()