Create app.py

app.py

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+import gradio as gr
+from keras.models import model_from_json
+from keras.preprocessing import image
+import heapq
+
+file = open("focusondriving.json", 'r')
+model_json2 = file.read()
+file.close()
+loaded_model = model_from_json(model_json2)
+loaded_model.load_weights("focusondriving.h5")
+
+class_dict = {
+    'c0': 'hands on the wheel',
+    'c1': 'mobile in right hand',
+    'c2': 'talking on the phone with right hand',
+    'c3': "mobile in left hand",
+    'c4': 'talking on the phone with left hand',
+    'c5': 'touching at the dash',
+    'c6': 'drinking',
+    'c7': 'reaching behind',
+    'c8': 'touching the head',
+    'c9': 'looking to the side'
+}
+
+def predict_image(pic):
+    img = image.load_img(pic, target_size=(224, 224))
+    x = image.img_to_array(img) 
+    x = np.expand_dims(x, axis=0)
+    x = preprocess_input(x)
+    preds = loaded_model.predict(x)
+    preds = list(preds[0])
+
+    list_desc_order = heapq.nlargest(2, range(len(preds)), key=preds.__getitem__)
+    result1 = f'c{list_desc_order[0]}'
+    result2 = '-'
+    result2_ = 0
+    if preds[list_desc_order[1]] > 0.3:
+        result2 = f'c{list_desc_order[1]}'
+        result2_  = round(preds[list_desc_order[1]], 2)
+    txt = f"category {directory} result 1 {result1} {round(preds[list_desc_order[0]],2)} | result2 {result2} {result2_}"
+    txt = f"categoria {directory}"
+    
+    score = round(preds[list_desc_order[0]], 2)*100
+    score = int(score)
+    txt2 = f"resultado: {class_dict.get(result1)}     probabilidad {score}%"
+    return txt2
+    
+    
+iface = gr.Interface(
+    predict_image,
+    [
+        
+        gr.inputs.Image(source="upload",type="filepath", label="Imagen")
+    ],
+
+    "text",
+    
+    
+    interpretation="default",
+    title = 'FER - Facial Expression Recognition',
+    description = 'Probablemente nos daremos cuenta de que muchas veces se miente cuando se tratan las emociones, ¿pero nuestra cara también miente? https://saturdays.ai/2022/03/16/detectando-emociones-mediante-imagenes-con-inteligencia-artificial/ ',
+    
+    theme = 'grass'
+ )
+
+
+   
+iface.launch()