app.py

import gradio as gr
from transformers import pipeline

# Load the model and tokenizer from Hugging Face
qa_pipeline = pipeline('question-answering', model='your_username/Extractive-QA-Bot')

# Define the function to answer questions
def answer_question(context, question):
    result = qa_pipeline(question=question, context=context)
    return result['answer']

# Create a simple Gradio interface
interface = gr.Interface(
    fn=answer_question,
    inputs=[
        gr.inputs.Textbox(label="Context", placeholder="Enter some text to ask questions from"),
        gr.inputs.Textbox(label="Question", placeholder="Ask a question based on the context")
    ],
    outputs="text",
    title="Extractive QA Bot",
    description="Ask questions and get answers based on the provided context."
)

# Launch the interface
interface.launch()