Update app.py

app.py

@@ -1,16 +1,16 @@
 from transformers import SegformerFeatureExtractor, SegformerForSemanticSegmentation
-from PIL import Image
-import requests
 import gradio as gr
+from PIL import Image
 
+# Load the model and feature extractor
 model = SegformerForSemanticSegmentation.from_pretrained("mattmdjaga/segformer_b2_clothes")
 feature_extractor = SegformerFeatureExtractor.from_pretrained("mattmdjaga/segformer_b2_clothes")
 
 def predict(image):
     inputs = feature_extractor(images=image, return_tensors="pt")
     outputs = model(**inputs)
-    # You need to decode the outputs and visualize the segmentation masks.
-    return "Segmentation output placeholder"  # replace with actual processing and output.
+    # Decode outputs and return results as needed
+    return "Segmentation output placeholder"  # Replace with actual processing
 
 def segmentation_interface(image):
     return predict(image)