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)