Add application file

app.py

@@ -1,25 +1,25 @@
+import os
+
 import gradio as gr
-from transformers import pipeline
+from huggingface_hub import login
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+from playground_app import demo as playground_tab
 
+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>
+"""
 
-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?",
-)
+with gr.Blocks() as demo:
+    _ = gr.HTML(f"<h1 style='text-align: center; margin-bottom: 1rem'>{title}</h1>")
+    _ = playground_tab.render()
 
 if __name__ == "__main__":
-    gradio_app.launch()
+    demo.launch()
+    # demo.launch(share=True)