Update app.py

app.py

@@ -7,7 +7,7 @@ from tensorflow.keras.layers import LSTM, Dense
 WINDOW_SIZE = 3
 SEQUENCE_LIMIT = 1000
 
-# Prepare dataset from 1 to 100000
+# Prepare dataset from 1 to 1000
 seq = np.array(range(1, SEQUENCE_LIMIT + 1))
 x, y = [], []
 for i in range(len(seq) - WINDOW_SIZE):
@@ -43,13 +43,13 @@ def predict_next(n1, n2, n3):
 demo = gr.Interface(
     fn=predict_next,
     inputs=[
-        gr.Number(label="1st Number (≤ 100000)"),
-        gr.Number(label="2nd Number (≤ 100000)"),
-        gr.Number(label="3rd Number (≤ 100000)")
+        gr.Number(label="1st Number (≤ 1000)"),
+        gr.Number(label="2nd Number (≤ 1000)"),
+        gr.Number(label="3rd Number (≤ 1000)")
     ],
     outputs="text",
     title="RNN Number Sequence Predictor",
-    description="Enter any 3 increasing numbers (up to 100000). Model predicts the next number.",
+    description="Enter any 3 increasing numbers (up to 1000). Model predicts the next number.",
 )
 
 demo.launch()