Update app.py

app.py

@@ -29,7 +29,7 @@ transform_input_image = transforms.Compose([
 
 def load_model_from_huggingface():
     model_filename = "ckpt_clothing_resnet50.pth"
-    model_path = hf_hub_download(repo_id="austin-carnahan/c2d-clothing1M", filename=model_filename)
+    model_path = hf_hub_download(repo_id="PrachiY/image-classification-model-space", filename=model_filename)
 
     # Load checkpoint and check keys
     checkpoint = torch.load(model_path, map_location=torch.device("cpu"), weights_only=False)
@@ -78,7 +78,7 @@ interface = gr.Interface(
     fn=gradio_inference, 
     inputs=gr.Image(type="pil"), 
     outputs="text",
-    title="Clothing Image Classifier",
+    title="image-classification-model",
     description="Upload an image of clothing and get a predicted class with confidence score.",
     examples=["images/tshirt.jpg", "images/pants.jpg"]
 )