app.py

from transformers import pipeline

# Load your custom-trained model
model_name = "lachie0234/jammy-finetuned"  # Replace with your model's name on Hugging Face
qa_pipeline = pipeline("question-answering", model=model_name)

# Define the function to handle user input
def answer_question(question):
    context = "Legendary asnwer man."
    result = qa_pipeline(question=question, context=context)
    return result['answer']

# Set up the Gradio interface
import gradio as gr
interface = gr.Interface(fn=answer_question, inputs="text", outputs="text")
interface.launch()