Add application file

app.py

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+import os
+os.system("hub install food_classification==1.0.0")
+import gradio as gr
+import cv2
+import paddlehub as hub
+
+classifier = hub.Module(name="food_classification")
+
+
+def inference(img):
+    result = classifier.predict(images=[cv2.imread(img)])
+    category = str(result[0][0]['category'])
+    score = str(result[0][0]['score'])
+    res = {category: score}
+    print(res)
+    return res
+
+
+title = "food_classification"
+description = "美食分类（food_classification），该模型可识别苹果派，小排骨，烤面包，牛肉馅饼，牛肉鞑靼。该PaddleHub Module支持API预测及命令行预测。 "
+examples = [['apple_pie.jpg'], ['baby_back_ribs.jpg'], ['baklava.jpg'], ['beef_carpaccio.jpg'], ['beef_tartare.jpg']]
+interface = gr.Interface(inference, gr.inputs.Image(type="filepath"), "label", title=title, description=description,
+                         examples=examples)
+interface.launch(inbrowser=True, inline=False, share=True, enable_queue=True)

requirements.txt

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+paddlepaddle
+paddlehub
+chardet