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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()
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