app.py

import gradio as gr
from transformers import pipeline

# Load the pre-trained model
model = pipeline("text-classification", model="hasanmustafa0503/DisorderDetectionModel")  

# Define the inference function
def predict_disorder(text):
    result = model(text)
    return result

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

# Launch the app
interface.launch()