Update app.py

app.py

@@ -1,36 +1,12 @@
-import gradio as gr
-import requests
-from PIL import Image
-
 import requests
 
 API_URL = "https://api-inference.huggingface.co/models/facebook/detr-resnet-50-panoptic"
 headers = {"Authorization": "Bearer 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"}
-inputs = gr.inputs.Image(type="pil", label="Upload an image")
-
-# Perform image segmentation for multy class output
-# def query(inputs):
-#     response = requests.post(API_URL, headers=headers, data=inputs)
-#     return response.json()
 
-inputs = "./04_deer.jpg"
-def query(inputs):
-    with open(inputs, "rb") as f:
+def query(filename):
+    with open(filename, "rb") as f:
         data = f.read()
     response = requests.post(API_URL, headers=headers, data=data)
     return response.json()
 
-
-outputs = gr.outputs.HTML()
-# outputs = gr.outputs.HTML() #uncomment for single class output 
-#outputs = query(inputs)
-
-title = "<h1 style='text-align: center;'>Image Segmentation</h1>"
-description = "Upload an image and get the segmentation result."
-
-gr.Interface(fn=query, 
-             inputs=inputs, 
-             outputs=outputs, 
-             title=title, 
-             examples=[["00_plane.jpg"], ["01_car.jpg"], ["02_bird.jpg"], ["03_cat.jpg"], ["04_deer.jpg"]],
-             description=description).launch()
+output = query("cats.jpg")