app.py

import gradio as gr
import numpy as np

from transformers import AutoModelForQuestionAnswering
from transformers import pipeline
from transformers import AutoTokenizer

description = """ ### Demo ADHD QA Bot
This demo is a fine-tuned version of distilbert-base-uncased, which has been trained on a ADHD dataset.
The model can answer question with a context, one example could be:
- Question = What is ADHD?
- Context = Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity.
"""

# Initializing the pipeline for the question answering model
question_answerer = pipeline("question-answering", model="Only-Mike/ADHD_Test_qa_model")

def question_answer(question, context):
    # Answering from the trained model
    result = question_answerer(question=question, context=context)
    return result["answer"]
    
gr.Interface(fn=question_answer, description = description, inputs=["text", "text"], outputs=["text"]).launch()