Upload anime_image_classification/app.py with huggingface_hub

anime_image_classification/app.py

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+import os
+
+import gradio as gr
+
+from base import Classification
+
+apps = [
+    Classification('Classification', 'deepghs/anime_classification', 'mobilenetv3_v1.3_dist'),
+    Classification('Monochrome', 'deepghs/monochrome_detect', 'mobilenetv3_large_100_dist'),
+    Classification('Completeness', 'deepghs/anime_completeness', 'mobilenetv3_v2.2_dist'),
+    Classification('AI Check', 'deepghs/anime_ai_check', 'mobilenetv3_sce_dist'),
+    Classification('AI Corrupt', 'deepghs/ai_image_corrupted', 'caformer_s36_v0_focal'),
+    Classification('Rating', 'deepghs/anime_rating', 'mobilenetv3_sce_dist'),
+    Classification('Character Sex', 'deepghs/anime_ch_sex', 'caformer_s36_v1'),
+    Classification('Portrait Type', 'deepghs/anime_portrait', 'mobilenetv3_v0_dist'),
+    Classification('Age of Style', 'deepghs/anime_style_ages', 'mobilenetv3_v0_dist'),
+    Classification('Bangumi Portrait', 'deepghs/bangumi_char_type', 'mobilenetv3_v0_dist'),
+    Classification('Is That Anime?', 'deepghs/anime_real_cls', 'mobilenetv3_v1.2_dist'),
+    Classification('Teen', 'deepghs/anime_teen', 'caformer_s36_v0'),
+    Classification('Character Skin', 'deepghs/anime_ch_skin_color', 'caformer_s36'),
+    Classification('Character Hair Color', 'deepghs/anime_ch_hair_color', 'caformer_s36_v0'),
+    Classification('Character Eye Color', 'deepghs/anime_ch_eye_color', 'caformer_s36_v0'),
+    Classification('Character Hair Length', 'deepghs/anime_ch_hair_length', 'caformer_s36_v0'),
+    Classification('Character Ears', 'deepghs/anime_ch_ear', 'caformer_s36_v0'),
+    Classification('Character Horns', 'deepghs/anime_ch_horn', 'caformer_s36_v0'),
+    Classification('[Beta] Danbooru Rating', 'deepghs/anime_dbrating', 'mobilenetv3_large_100_v0_ls0.2'),
+    Classification('[Beta] Danbooru Aesthetic', 'deepghs/anime_aesthetic', 'caformer_s36_v0_ls0.2'),
+]
+
+if __name__ == '__main__':
+    with gr.Blocks() as demo:
+        with gr.Tabs():
+            for cls in apps:
+                cls.create_gr()
+
+    demo.queue(os.cpu_count()).launch()