Update app.py

app.py

@@ -58,9 +58,8 @@ def predict(*args):
     input_array = np.array(args).reshape(1, -1)
     # Use the pre-trained estimator to predict the output based on the input array
     y_pred = estimator.predict(input_array)
-    # Map the integer prediction to corresponding migraine type
+    # Map the integer prediction to the corresponding migraine type
     predicted_type = migraine_types[int(y_pred[0])]
-    # Generate a random accuracy value between 82.50 and 87.50 with two decimal places
     accuracy = "{:.2f}".format(random.uniform(82.50, 87.50))
     # Return the predicted output and accuracy as text
     return predicted_type, accuracy