Update app.py

app.py

@@ -7,7 +7,7 @@ from keras import layers
 
 
 # Load your trained Xception model
-model = tf.keras.models.load_model("xception-head")
+model = tf.keras.models.load_model("inception_acc_0.989001-_val_acc_0.98252.h5")
 
 # Define the labels for your classification
 class_labels = ['arm', 'hand', 'foot',  'legs','fullbody','head','backside', 'torso', 'stake', 'plastic'] # Replace with your actual class names
@@ -33,7 +33,7 @@ def classify_image(img):
 demo = gr.Interface(
     fn=classify_image,
     title="Human Bodypart Image Classification",
-    description = "Predict the bodypart of huma. This is a demo of our human bodypart image <a href=\"https://huggingface.co/icputrd/Inception-V3-Human-Bodypart-Classifier\">classifier</a>.",
+    description = "Predict the bodypart of human bodypart images. This is a demo of our human bodypart image <a href=\"https://huggingface.co/icputrd/Inception-V3-Human-Bodypart-Classifier\">classifier</a>.",
     inputs=gr.Image(type="pil"),
     outputs=[gr.Label(num_top_classes=len(class_labels)), gr.Number()],
     live=True,