Update app.py

app.py

@@ -29,19 +29,18 @@ def predict_yesno(context, question):
 
 # Gradio
 with gr.Blocks() as demo:
-    gr.Markdown("#BioASQ Yes/No Question Answering")
+    gr.Markdown("BioASQ Yes/No Question Answering")
     gr.Markdown("""
     This demo uses a fine-tuned BERT model to answer biomedical yes/no questions based on context.<br>
     **Instructions**:
-    1. Paste the context (e.g., PubMed abstract).
-    2. Type your yes/no question.
-    3. Click 'Predict' to get the answer.
+    1. Type the context and your yes/no question.
+    2. Click 'Predict' to get the answer.
     """)
 
     with gr.Row():
         with gr.Column():
             context_input = gr.Textbox(label="Context", lines=8, placeholder="Paste biomedical context here...")
-            question_input = gr.Textbox(label="Yes/No Question", lines=2, placeholder="Enter your question here...")
+            question_input = gr.Textbox(label="Question", lines=2, placeholder="Enter your question here...")
             predict_button = gr.Button("Predict")
         with gr.Column():
             output = gr.Textbox(label="Prediction")