Parishri07 commited on
Commit
080994c
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1 Parent(s): 97e153c

Update app.py

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  1. app.py +24 -156
app.py CHANGED
@@ -1,165 +1,33 @@
1
  import gradio as gr
2
- import os
3
- import pandas as pd
4
- from PIL import Image, ImageDraw
5
-
6
- BASE_DIR = "data"
7
- ASSETS_DIR = "assets"
8
- STORE_MAP_FILE = os.path.join(ASSETS_DIR, "store_map_clinicplus.png")
9
-
10
-
11
- # Approximate mapping from Aisle number to bounding box on the store map
12
- AISLE_TO_BOX = {
13
- # Example: '14': (x, y, width, height) - you can later load this from config
14
- "14": (220, 150, 40, 120),
15
- "15": (270, 150, 40, 120),
16
- "16": (320, 150, 40, 120),
17
- # Add more as needed...
18
- }
19
-
20
-
21
- def get_subfolders(path):
22
- try:
23
- return sorted([f for f in os.listdir(path) if os.path.isdir(os.path.join(path, f))])
24
- except Exception as e:
25
- print(f"❌ Error reading subfolders from {path}: {e}")
26
- return []
27
-
28
-
29
- def get_csv_files(path):
30
- try:
31
- return sorted([f[:-4] for f in os.listdir(path) if f.endswith(".csv")])
32
- except Exception as e:
33
- print(f"❌ Error reading CSVs from {path}: {e}")
34
- return []
35
-
36
-
37
- def get_quantities_from_csv(path):
38
- try:
39
- df = pd.read_csv(path)
40
- if df.empty or "Quantity" not in df.columns:
41
- return gr.update(choices=[], visible=False), {}
42
- return gr.update(choices=df["Quantity"].dropna().tolist(), visible=True), df.to_dict()
43
- except Exception as e:
44
- print(f"❌ Error loading CSV: {e}")
45
- return gr.update(choices=[], visible=False), {}
46
-
47
-
48
- def display_quantity_info(quantity, data_dict):
49
- try:
50
- df = pd.DataFrame(data_dict)
51
- row = df[df["Quantity"] == quantity].iloc[0]
52
-
53
- if str(row["In Stock"]).strip().lower() == "yes":
54
- msg = (
55
- f"✅ {quantity} is available!\n"
56
- f"• Floor: {row['Floor']}\n"
57
- f"• Aisle: {row['Aisle']}\n"
58
- f"• Price: ₹{row['Price']}"
59
- )
60
- if "Offer" in row and pd.notna(row["Offer"]) and row["Offer"].strip():
61
- msg += f"\n• 🎉 Offer: {row['Offer']}"
62
- return msg
63
- else:
64
- return f"❌ Sorry, {quantity} is currently not in stock."
65
- except Exception as e:
66
- return f"⚠️ Error: {e}"
67
-
68
-
69
- def generate_map_with_highlight(quantity, data_dict):
70
- try:
71
- df = pd.DataFrame(data_dict)
72
- row = df[df["Quantity"] == quantity].iloc[0]
73
- aisle = str(row.get("Aisle", "")).strip()
74
-
75
- image = Image.open(STORE_MAP_FILE).convert("RGBA")
76
- draw = ImageDraw.Draw(image)
77
-
78
- if aisle in AISLE_TO_BOX:
79
- x, y, w, h = AISLE_TO_BOX[aisle]
80
- draw.rectangle([x, y, x + w, y + h], outline="red", width=5)
81
-
82
- return image
83
- except Exception as e:
84
- print(f"⚠️ Map render error: {e}")
85
- return Image.open(STORE_MAP_FILE)
86
-
87
-
88
- def suggest_items(query):
89
- query = query.lower()
90
- if "gift" in query and "500" in query:
91
- return (
92
- "🎁 Gift Suggestions under ₹500:\n"
93
- "1. Bath & Body Gift Set - ₹499\n"
94
- "2. Mini Perfume Pack - ₹349\n"
95
- "3. Skin Care Hamper - ₹399\n"
96
- "4. Chocolates Gift Box - ₹299"
97
- )
98
- if "shampoo" in query and "dry" in query:
99
- return (
100
- "🧴 Shampoos for Dry Hair:\n"
101
- "1. Dove 500 ml - ₹325\n"
102
- "2. Clinic Plus 500 ml - ₹680"
103
- )
104
- return "🤷 Sorry, no smart suggestions found. Try asking: 'Gift items under 500' or 'Shampoo for dry hair'"
105
 
 
106
 
107
  def reset_all():
108
  return (
109
- None, # country - Dropdown
110
- None, # state - Dropdown
111
- None, # city - Dropdown
112
- None, # store - Dropdown
113
- None, # category - Dropdown
114
- None, # product - Dropdown
115
- None, # brand - Dropdown
116
- gr.update(choices=[], visible=False), # quantity - Dropdown
117
- "", # result - Textbox
118
- {}, # data_state - State (MUST be a raw dict or string, not gr.update)
119
- Image.open(STORE_MAP_FILE) # store_map - Image (if using type="pil")
120
  )
121
 
122
-
123
-
124
- with gr.Blocks(title="RetailGenie") as demo:
125
- gr.Markdown("# 🧞‍♂️ RetailGenie – In-Store Smart Assistant")
126
-
127
- with gr.Tabs():
128
- with gr.TabItem("🧭 Navigator"):
129
- with gr.Row():
130
- country = gr.Dropdown(label="🌍 Country", choices=get_subfolders(BASE_DIR), value=None)
131
- state = gr.Dropdown(label="🏙️ State", choices=[], interactive=False)
132
- city = gr.Dropdown(label="🏘️ City", choices=[], interactive=False)
133
- store = gr.Dropdown(label="🏪 Store", choices=[], interactive=False)
134
- category = gr.Dropdown(label="🛍️ Category", choices=[], interactive=False)
135
- product = gr.Dropdown(label="📦 Product", choices=[], interactive=False)
136
- brand = gr.Dropdown(label="🏷️ Brand", choices=[], interactive=False)
137
- quantity = gr.Dropdown(label="🔢 Quantity", visible=False)
138
-
139
- result = gr.Textbox(label="🔍 Product Info", lines=5)
140
- store_map = gr.Image(label="🗺️ Store Map", value=Image.open(STORE_MAP_FILE), type="pil")
141
- data_state = gr.State(value={})
142
- reset_btn = gr.Button("🔄 Reset All")
143
-
144
- country.change(lambda c: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c)) if c else [], value=None, interactive=True), inputs=country, outputs=state)
145
- state.change(lambda c, s: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s)) if c and s else [], value=None, interactive=True), inputs=[country, state], outputs=city)
146
- city.change(lambda c, s, ci: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s, ci)) if c and s and ci else [], value=None, interactive=True), inputs=[country, state, city], outputs=store)
147
- store.change(lambda c, s, ci, st: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s, ci, st)) if all([c, s, ci, st]) else [], value=None, interactive=True), inputs=[country, state, city, store], outputs=category)
148
- category.change(lambda c, s, ci, st, cat: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s, ci, st, cat)) if all([c, s, ci, st, cat]) else [], value=None, interactive=True), inputs=[country, state, city, store, category], outputs=product)
149
- product.change(lambda c, s, ci, st, cat, prod: gr.update(choices=get_csv_files(os.path.join(BASE_DIR, c, s, ci, st, cat, prod)) if all([c, s, ci, st, cat, prod]) else [], value=None, interactive=True), inputs=[country, state, city, store, category, product], outputs=brand)
150
-
151
- brand.change(lambda c, s, ci, st, cat, prod, b: get_quantities_from_csv(os.path.join(BASE_DIR, c, s, ci, st, cat, prod, f"{b}.csv")) if all([c, s, ci, st, cat, prod, b]) else (gr.update(choices=[], visible=False), {}), inputs=[country, state, city, store, category, product, brand], outputs=[quantity, data_state])
152
-
153
- quantity.change(display_quantity_info, inputs=[quantity, data_state], outputs=result)
154
- quantity.change(generate_map_with_highlight, inputs=[quantity, data_state], outputs=store_map)
155
- reset_btn.click(reset_all, inputs=[], outputs=[country, state, city, store, category, product, brand, quantity, result, data_state, store_map])
156
-
157
- with gr.TabItem("🎁 Smart Suggestions"):
158
- gr.Markdown("### 🤖 Ask RetailGenie for Recommendations")
159
- suggestion_input = gr.Textbox(label="Ask something like:", placeholder="Gift items under 500", lines=1)
160
- suggest_btn = gr.Button("💡 Get Suggestions")
161
- suggestions_output = gr.Textbox(label="📝 Suggestions", lines=10)
162
-
163
- suggest_btn.click(suggest_items, inputs=suggestion_input, outputs=suggestions_output)
164
 
165
  demo.launch()
 
1
  import gradio as gr
2
+ from PIL import Image
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
 
4
+ STORE_MAP_FILE = "assets/store_map_clinicplus.png"
5
 
6
  def reset_all():
7
  return (
8
+ None, None, None, None, None, None, None,
9
+ gr.update(choices=[], visible=False),
10
+ "", {}, Image.open(STORE_MAP_FILE)
 
 
 
 
 
 
 
 
11
  )
12
 
13
+ with gr.Blocks() as demo:
14
+ country = gr.Dropdown(choices=["A"], value="A")
15
+ state = gr.Dropdown(choices=["B"], value="B")
16
+ city = gr.Dropdown(choices=["C"], value="C")
17
+ store = gr.Dropdown(choices=["D"], value="D")
18
+ category = gr.Dropdown(choices=["E"], value="E")
19
+ product = gr.Dropdown(choices=["F"], value="F")
20
+ brand = gr.Dropdown(choices=["G"], value="G")
21
+ quantity = gr.Dropdown(choices=["1"], value="1", visible=True)
22
+ result = gr.Textbox("", lines=2)
23
+ data_state = gr.State(value={"x": 1})
24
+ store_map = gr.Image(value=Image.open(STORE_MAP_FILE), type="pil")
25
+ reset_btn = gr.Button("Reset")
26
+
27
+ reset_btn.click(
28
+ reset_all,
29
+ inputs=[],
30
+ outputs=[country, state, city, store, category, product, brand, quantity, result, data_state, store_map]
31
+ )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
32
 
33
  demo.launch()