test

app.py

@@ -1,15 +1,5 @@
 import gradio as gr
-from transformers import pipeline
+def sketch_recognition(img):
+    pass# Implement your sketch recognition model here...
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
-
-def predict(image):
-    predictions = pipeline(image)
-    return {p["label"]: p["score"] for p in predictions}
-
-gr.Interface(
-    predict,
-    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
-    outputs=gr.outputs.Label(num_top_classes=2),
-    title="Hot Dog? Or Not?",
-).launch()
+gr.Interface(fn=sketch_recognition, inputs="sketchpad", outputs="label").launch()