main.py

import pandas as pd
import model
def chatbot(question):
    # Provide a context or passage where the answer can be found
    with open(r"Data.txt", "r", encoding="utf-8") as file:
        context = file.read()
    # Use the question-answering model to find the answer
    answer = model.qa_pipeline(question=question, context=context)
    return answer
def prints(questions):
    response = chatbot(questions)
    # print(f"Question: {question}")
    # print(f"Answer: {response['answer']}")
    # print(f"Confidence: {response['score']:.4f}")
    # print()
    return response['answer']
# result = prints(stream.query)
# print(result)
# stream.receive_data(result)