import gradio as gr
from transformers import pipeline

# Load your model
model_name = "lachie0232/Jammy-finetuned"  # Replace with your model's name
qa_pipeline = pipeline("question-answering", model=model_name)

# Define the function to handle user input
def answer_question(question):
    context = "Insert your context or provide default knowledge."
    result = qa_pipeline(question=question, context=context)
    return result['answer']

# Create a Gradio interface
interface = gr.Interface(fn=answer_question, inputs="text", outputs="text")

# Launch the interface
interface.launch()