Updated app.py

app.py

@@ -32,13 +32,10 @@ examples = [
 demo = gr.Interface(
     fn=classify_question_tags,
     inputs=gr.Textbox(lines=8, placeholder="Enter your question here..."),
-    outputs=gr.Label(num_top_classes=5),    
-)
-
-demo.examples = gr.Examples(
-    examples=examples,
-    inputs=demo.input_components,
-    examples_per_page=1
+    outputs=gr.Label(num_top_classes=5), 
+    examples = [    
+    "I want to develop a machine learning model that predicts the correct medicine dosage required to keep a specific lab value within the target range of 5 to 7. I also have several other predictor variables available. I am unsure which machine learning algorithm would be most suitable for deployment and use with future patients. Additionally, should I define the outcome as binary (1 if the value is between 5 and 7, and 0 otherwise), or is there a better approach?",
+    "What is the best way to evaluate performance of Generative Adverserial Network (GAN)? Perhaps measuring the distance between two distributions or maybe something else?"
+]   
 )
-
 demo.launch(inline=False)