Create app.py

app.py

@@ -0,0 +1,16 @@
+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()