Update app.py

app.py

@@ -21,6 +21,8 @@ model = keras.models.load_model("./sneaker_category_predictor_v2.keras")
 # Define expected columns for one-hot encoding
 with open("metadata.json", "r") as f:
 	METADATA_COLUMNS = json.load(f)
+with open("productData.json", "r") as f:
+	products = json.load(f)
 
 
 def encode_metadata(data):
@@ -51,8 +53,11 @@ def encode_metadata(data):
 
 @app.route("/")
 def index():
-    global METADATA_COLUMNS
-    return render_template("index.html", metadata=METADATA_COLUMNS)
+    global METADATA_COLUMNS,products
+    # 6 random products
+    random_products = np.random.choice(products, 6, replace=False).tolist()
+    productsString = json.dumps(random_products,indent=4)
+    return render_template("index.html", metadata=METADATA_COLUMNS,products=random_products,productsString=productsString)
 
 
 @app.route("/predict", methods=["POST"])