Duplicate from NimaBoscarino/hotdog-gradio

Co-authored-by: Nima Boscarino <NimaBoscarino@users.noreply.huggingface.co>

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README.md

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+---
+title: Hotdog Gradio
+emoji: 🦀
+colorFrom: purple
+colorTo: purple
+sdk: gradio
+sdk_version: 3.1.7
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: NimaBoscarino/hotdog-gradio
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

app.py

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+import gradio as gr
+from transformers import pipeline
+
+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?",
+    allow_flagging="manual"
+).launch()

requirements.txt

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+transformers
+torch