Add application file

app.py

@@ -1,25 +1,25 @@
-import os
-
 import gradio as gr
-from huggingface_hub import login
+from transformers import pipeline
 
-from playground_app import demo as playground_tab
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-auth_token = os.environ.get("HF_TOKEN", None)
-if auth_token:
-    login(token=auth_token)
 
+def predict(input_img):
+    predictions = pipeline(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions}
 
-title = """
-<div align="center">
-    <span>Tokenization Playground</span>
-</div>
-"""
 
-with gr.Blocks() as demo:
-    _ = gr.HTML(f"<h1 style='text-align: center; margin-bottom: 1rem'>{title}</h1>")
-    _ = playground_tab.render()
+gradio_app = gr.Interface(
+    predict,
+    inputs=gr.Image(
+        label="Select hot dog candidate", sources=["upload", "webcam"], type="pil"
+    ),
+    outputs=[
+        gr.Image(label="Processed Image"),
+        gr.Label(label="Result", num_top_classes=2),
+    ],
+    title="Hot Dog? Or Not?",
+)
 
 if __name__ == "__main__":
-    demo.launch()
-    # demo.launch(share=True)
+    gradio_app.launch()