Update app.py

app.py

@@ -3,11 +3,22 @@ import pandas as pd
 import gradio as gr
 import tensorflow as tf
 
-MODEL_PATH = "activity_model.weights.h5"
 CLASS_NAMES = ["Stationary", "Walking", "Running"]
 EXPECTED_STEPS = 100
 
-model = tf.keras.models.load_model(MODEL_PATH)
+from tensorflow.keras import Sequential
+from tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense
+
+MODEL_PATH = "activity_model.weights.h5"
+
+model = Sequential([
+    Conv1D(32, kernel_size=5, activation="relu", input_shape=(100, 1)),
+    MaxPooling1D(pool_size=2),
+    Flatten(),
+    Dense(32, activation="relu"),
+    Dense(3, activation="softmax")
+])
+model.load_weights(MODEL_PATH)
 
 def read_signal(file_path):
     if file_path is None: