Create app.py

app.py

@@ -0,0 +1,57 @@
+import gradio as gr
+
+
+def sentence_builder(sizes, types, colors, shoelaces, genders):
+    return f"{sizes}+ {types}+ {colors}+ {shoelaces}+ {genders}"
+
+type_list = ['اسپرت', 'راحتی', 'پوتون', 'طبی', 'گوندارا', 'کالج', 'مجلسی', 'دمپایی', 'پاشنه دار', 'تابستانه', 'جورابی']
+color_list = ['مشکی', 'سفید', 'قهوه ای', 'کرمی', 'خاکستری', 'طوسی', 'سبز', 'آبی', 'رنگارنگ']
+shoelace_list  = ['کشی', 'چسب دار', 'بند دار', 'بدون بند', 'زیپ دار']
+sex_list   = ['بزرگسال', 'بزرگسال زنانه', 'بزرگسال مردانه', 'بچگانه', 'بچگانه دختر', 'بچگانه پسر']
+sizes = [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]
+
+
+
+
+shoes_arr = []
+selection = [list(map(int, selected_size)), selected_sex, selected_color, selected_type, selected_shoelace]
+for i in range(len(shoes_data['code'].values)):
+    Flag = True
+    shoe_code,shoe_name,shoe_company,shoe_sizes,shoe_colors,shoe_shoelaces,shoe_sexes,shoe_types = shoes_data.iloc[i].values
+    shoes =  [shoe_sizes.split('-'), shoe_sexes.split('-'), shoe_colors.split('-'), shoe_types.split('-'), shoe_shoelaces.split('-')]
+    for select_details, shoe_details in zip(selection, shoes):
+        if not select_details:
+            continue
+        for shoe_d in shoe_details:
+            if shoe_d not in select_details:
+                Flag = False
+                break
+
+        if not Flag:
+            break
+    if Flag:
+        shoes_arr.append({'name': shoe_name, 'code': str(shoe_code), 'sizes': shoe_sizes, 'image_url': os.path.join(root,IMAGE_DIR,str(shoe_code)+'.jpg')})
+    else:
+        shoes.append({'name': '', 'code': '', 'sizes': [], 'image_url': './static/Images/Empty.jpg'})
+    
+return shoes_arr
+
+demo = gr.Interface(
+    sentence_builder,
+    [
+      gr.Dropdown(sizes, value=[42, 44], multiselect=True, label="sizes", info="Lor vel nisl."),
+      gr.CheckboxGroup(type_list, label="types", info="Where are they from?"),
+      gr.CheckboxGroup(color_list, label="colors", info="Where are they from?"),
+      gr.CheckboxGroup(shoelace_list, label="shoelaces", info="Where are they from?"),
+      gr.CheckboxGroup(sex_list, label="genders", info="Where are they from?"),
+    ],
+    "text",
+    # examples=[
+    #     [42, "cat", ["Japan", "Pakistan"], "park", ["ate", "swam"], True],
+    #     [4, "dog", ["Japan"], "zoo", ["ate", "swam"], False],
+    #     [10, "bird", ["USA", "Pakistan"], "road", ["ran"], False],
+    #     [8, "cat", ["Pakistan"], "zoo", ["ate"], True],
+    # ]
+)
+
+demo.launch()