a

app.py

@@ -1,7 +1,25 @@
 import gradio as gr
+#
+from transformers import SegformerFeatureExtractor, SegformerForSemanticSegmentation
+from PIL import Image
+import requests
+#
 
-def greet(name):
-    return "Hello " + name + "!!"
+feature_extractor = SegformerFeatureExtractor.from_pretrained("nvidia/segformer-b0-finetuned-cityscapes-640-1280")
+model = SegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b0-finetuned-cityscapes-640-1280")
+
+
+image = Image.open(requests.get(url, stream=True).raw)
+url = "http://images.cocodataset.org/val2017/000000039769.jpg"
+
+
+
+inputs = feature_extractor(images=image, return_tensors="pt")
+outputs = model(**inputs)
+logits = outputs.logits  # shape (batch_size, num_labels, height/4, width/4)
+
+def greet():
+    return outputs
 
 iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()

requirements.txt

@@ -0,0 +1,8 @@
+torch
+transformers
+tensorflow
+numpy
+Image
+matplotlib
+PIL
+requests