Duplicate from cafeai/cafe_aesthetic_demo

Co-authored-by: cafe <[email protected]>

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README.md

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+---
+title: Cafe Aesthetic Demo
+emoji: 📊
+colorFrom: green
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.9.1
+app_file: app.py
+pinned: false
+license: agpl-3.0
+duplicated_from: cafeai/cafe_aesthetic_demo
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from transformers import pipeline
+
+pipe_aesthetic = pipeline("image-classification", "cafeai/cafe_aesthetic")
+def aesthetic(input_img):
+    data = pipe_aesthetic(input_img, top_k=2)
+    final = {}
+    for d in data:
+        final[d["label"]] = d["score"]
+    return final
+demo_aesthetic = gr.Interface(fn=aesthetic, inputs=gr.Image(type="pil"), outputs=gr.Label(label="aesthetic"))
+
+pipe_style = pipeline("image-classification", "cafeai/cafe_style")
+def style(input_img):
+    data = pipe_style(input_img, top_k=5)
+    final = {}
+    for d in data:
+        final[d["label"]] = d["score"]
+    return final
+demo_style = gr.Interface(fn=style, inputs=gr.Image(type="pil"), outputs=gr.Label(label="style"))
+
+pipe_waifu = pipeline("image-classification", "cafeai/cafe_waifu")
+def waifu(input_img):
+    data = pipe_waifu(input_img, top_k=5)
+    final = {}
+    for d in data:
+        final[d["label"]] = d["score"]
+    return final
+demo_waifu = gr.Interface(fn=waifu, inputs=gr.Image(type="pil"), outputs=gr.Label(label="waifu"))
+
+gr.Parallel(demo_aesthetic, demo_style, demo_waifu).launch()

requirements.txt

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+--extra-index-url https://download.pytorch.org/whl/cu113
+torch
+transformers==4.23.1