Update app.py

app.py

@@ -20,7 +20,7 @@ async def predict(model: UploadFile = File(...), data: str = None):
         # Load the model
         model = load_model(temp_model_path, compile=False)
         model.compile(optimizer=Adam(learning_rate=0.001), loss='mse', run_eagerly=True)
-
+        print(data)
         # Process the data
         data = np.array(eval(data)).reshape(1, 12, 1)
         predictions = model.predict(data).tolist()
@@ -37,6 +37,7 @@ async def retrain(model: UploadFile = File(...), data: str = None):
         with tempfile.NamedTemporaryFile(delete=False, suffix=".h5") as temp_model_file:
             temp_model_file.write(await model.read())
             temp_model_path = temp_model_file.name
+        print(data)
 
 
         # Load the model and data