Update app.py

app.py

@@ -13,16 +13,13 @@ def answer_question(question):
     outputs = finetuned_model.generate(**tokenized_inputs)
     answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
     
-    # Assuming 'actual' answer is predefined for demonstration
-    actual = "Very low Mg2+ levels correspond to low PTH levels which in turn results in low Ca2+ levels."
-    
-    return fill(answer, width=80), fill(actual, width=80)
+    return fill(answer, width=80)
 
 # Create Gradio interface
 iface = gr.Interface(
     fn=answer_question,
     inputs="text",
-    outputs=["text", "text"],
+    outputs="text"
     title="Medical Question Answering",
     description="Enter a medical question to get a truthful answer from the finetuned T5 model.",
     examples=[["What is the relationship between very low Mg2+ levels, PTH levels, and Ca2+ levels?"]]