Fix RMSprop name error

app.py

@@ -62,7 +62,7 @@ def train(message: str, epochs: int, learning_rate: float, emb_size: int, inp_le
         X = np.array(X)
         y = np.array(y)
         
-        model.compile(optimizer=RMSProp(learning_rate=learning_rate), loss="sparse_categorical_crossentropy", metrics=["accuracy",])
+        model.compile(optimizer=RMSprop(learning_rate=learning_rate), loss="sparse_categorical_crossentropy", metrics=["accuracy",])
         
         model.fit(X, y, epochs=16, batch_size=8, workers=4, use_multiprocessing=True)
         model.save(f"cache/{data_hash}")