app.py

import gradio as gr
from transformers import pipeline
from PyPDF2 import PdfReader

# Leggi il file PDF
def load_pdf(file_path):
    reader = PdfReader(file_path)
    text = ""
    for page in reader.pages:
        text += page.extract_text()
    return text

# Carica il testo del catalogo
catalogo_text = load_pdf("Catalogo IVR BC01 - Listino Prezzi.pdf")

# Inizializza il modello di QA
qa = pipeline("question-answering", model="distilbert-base-multilingual-cased")

def chatbot(question):
    result = qa(question=question, context=catalogo_text)
    return result['answer']

# Interfaccia Gradio
iface = gr.Interface(fn=chatbot, inputs="text", outputs="text", title="IVR Chatbot")
iface.launch()