app.py

import gradio as gr
from transformers import pipeline

# Load the question-answering model
model = pipeline("question-answering", model="Rishitha0208/new-llm-for-advanced-materials")

def answer_question(question):
    # Generate an answer from the model
    result = model(question=question, context="")  # Provide an empty context if not required
    return result['answer']

# Define the Gradio interface
interface = gr.Interface(
    fn=answer_question,
    inputs=gr.Textbox(lines=2, placeholder="Enter your question here...", label="Question"),
    outputs="text",
    title="Polymer Knowledge Model",
    description="A model fine-tuned to answer questions about polymers."
)

# Launch the interface
interface.launch()