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import gradio as gr
#
from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
from PIL import Image
import requests
#
feature_extractor = SegformerFeatureExtractor.from_pretrained("nvidia/segformer-b0-finetuned-cityscapes-640-1280")
model = TFSegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b0-finetuned-cityscapes-640-1280")
url = "http://images.cocodataset.org/val2017/000000039769.jpg"
image = Image.open(requests.get(url, stream=True).raw)
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=sepia,
inputs="text",
outputs=["plot"])
iface.launch(share=True) |