app.py

import gradio as gr
from huggingface_hub import InferenceClient
from typing import List, Tuple
import fitz  # PyMuPDF
from sentence_transformers import SentenceTransformer, util
import numpy as np
import faiss

client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
"""
class MyApp:
    def __init__(self) -> None:
        self.documents = []
        self.embeddings = None
        self.index = None
        self.load_pdf("Mypdf")
        self.build_vector_db()

    def load_pdf(self, file:///C:/Users/gagan/OneDrive/Desktop/Mypdf.pdf: str) -> None:
        doc = fitz.open(file:///C:/Users/gagan/OneDrive/Desktop/Mypdf.pdf)
        self.documents = []
        for page_num in range(len(doc)):
            page = doc[page_num]
            text = page.get_text()
            self.documents.append({"page": page_num + 1, "content": text})
        print("PDF processed successfully!")