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Update app.py
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app.py
CHANGED
@@ -1,10 +1,23 @@
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import gradio as gr
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import os
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import pandas as pd
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BASE_DIR = "data"
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# Get subfolders
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def get_subfolders(path):
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try:
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return sorted([f for f in os.listdir(path) if os.path.isdir(os.path.join(path, f))])
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@@ -12,7 +25,7 @@ def get_subfolders(path):
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print(f"β Error reading subfolders from {path}: {e}")
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return []
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def get_csv_files(path):
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try:
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return sorted([f[:-4] for f in os.listdir(path) if f.endswith(".csv")])
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@@ -20,7 +33,7 @@ def get_csv_files(path):
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print(f"β Error reading CSVs from {path}: {e}")
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return []
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def get_quantities_from_csv(path):
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try:
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df = pd.read_csv(path)
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@@ -31,11 +44,12 @@ def get_quantities_from_csv(path):
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print(f"β Error loading CSV: {e}")
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return gr.update(choices=[], visible=False), {}
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def display_quantity_info(quantity, data_dict):
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try:
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df = pd.DataFrame(data_dict)
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row = df[df["Quantity"] == quantity].iloc[0]
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if str(row["In Stock"]).strip().lower() == "yes":
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msg = (
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f"β
{quantity} is available!\n"
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@@ -43,7 +57,6 @@ def display_quantity_info(quantity, data_dict):
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f"β’ Aisle: {row['Aisle']}\n"
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f"β’ Price: βΉ{row['Price']}"
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)
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# Show only Offer field if it exists and is not empty
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if "Offer" in row and pd.notna(row["Offer"]) and row["Offer"].strip():
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msg += f"\nβ’ π Offer: {row['Offer']}"
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return msg
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@@ -52,7 +65,26 @@ def display_quantity_info(quantity, data_dict):
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except Exception as e:
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return f"β οΈ Error: {e}"
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def suggest_items(query):
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query = query.lower()
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if "gift" in query and "500" in query:
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@@ -71,19 +103,18 @@ def suggest_items(query):
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)
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return "π€· Sorry, no smart suggestions found. Try asking: 'Gift items under 500' or 'Shampoo for dry hair'"
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def reset_all():
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return (
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None, None, None, None, None, None, None,
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gr.update(choices=[], visible=False), "", {}
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)
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with gr.Blocks(title="RetailGenie") as demo:
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gr.Markdown("# π§ββοΈ RetailGenie β In-Store Smart Assistant")
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with gr.Tabs():
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# π§ Navigator Tab
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with gr.TabItem("π§ Navigator"):
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with gr.Row():
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country = gr.Dropdown(label="π Country", choices=get_subfolders(BASE_DIR), value=None)
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quantity = gr.Dropdown(label="π’ Quantity", visible=False)
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result = gr.Textbox(label="π Product Info", lines=5)
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data_state = gr.State()
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reset_btn = gr.Button("π Reset All")
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)
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state.change(
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lambda c, s: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s)) if c and s else [], value=None, interactive=True),
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inputs=[country, state],
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outputs=city
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)
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city.change(
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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),
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inputs=[country, state, city],
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outputs=store
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)
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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),
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inputs=[country, state, city, store],
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outputs=category
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)
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category.change(
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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),
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inputs=[country, state, city, store, category],
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outputs=product
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)
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product.change(
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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),
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inputs=[country, state, city, store, category, product],
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outputs=brand
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)
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brand.change(
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lambda c, s, ci, st, cat, prod, b: get_quantities_from_csv(
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os.path.join(BASE_DIR, c, s, ci, st, cat, prod, f"{b}.csv")
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) if all([c, s, ci, st, cat, prod, b]) else (gr.update(choices=[], visible=False), {}),
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inputs=[country, state, city, store, category, product, brand],
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outputs=[quantity, data_state]
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)
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quantity.change(display_quantity_info, inputs=[quantity, data_state], outputs=result)
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# π Suggestions Tab
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with gr.TabItem("π Smart Suggestions"):
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gr.Markdown("### π€ Ask RetailGenie for Recommendations")
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suggestion_input = gr.Textbox(label="Ask something like:", placeholder="Gift items under 500", lines=1)
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suggest_btn.click(suggest_items, inputs=suggestion_input, outputs=suggestions_output)
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demo.launch()
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import gradio as gr
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import os
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import pandas as pd
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from PIL import Image, ImageDraw
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BASE_DIR = "data"
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ASSETS_DIR = "assets"
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STORE_MAP_FILE = os.path.join(ASSETS_DIR, "store_map_clinicplus.png")
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# Approximate mapping from Aisle number to bounding box on the store map
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AISLE_TO_BOX = {
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# Example: '14': (x, y, width, height) - you can later load this from config
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"14": (220, 150, 40, 120),
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"15": (270, 150, 40, 120),
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"16": (320, 150, 40, 120),
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# Add more as needed...
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}
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def get_subfolders(path):
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try:
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return sorted([f for f in os.listdir(path) if os.path.isdir(os.path.join(path, f))])
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print(f"β Error reading subfolders from {path}: {e}")
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return []
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def get_csv_files(path):
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try:
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return sorted([f[:-4] for f in os.listdir(path) if f.endswith(".csv")])
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print(f"β Error reading CSVs from {path}: {e}")
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return []
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def get_quantities_from_csv(path):
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try:
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df = pd.read_csv(path)
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print(f"β Error loading CSV: {e}")
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return gr.update(choices=[], visible=False), {}
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def display_quantity_info(quantity, data_dict):
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try:
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df = pd.DataFrame(data_dict)
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row = df[df["Quantity"] == quantity].iloc[0]
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if str(row["In Stock"]).strip().lower() == "yes":
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msg = (
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f"β
{quantity} is available!\n"
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f"β’ Aisle: {row['Aisle']}\n"
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f"β’ Price: βΉ{row['Price']}"
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)
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if "Offer" in row and pd.notna(row["Offer"]) and row["Offer"].strip():
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msg += f"\nβ’ π Offer: {row['Offer']}"
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return msg
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except Exception as e:
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return f"β οΈ Error: {e}"
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def generate_map_with_highlight(quantity, data_dict):
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try:
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df = pd.DataFrame(data_dict)
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row = df[df["Quantity"] == quantity].iloc[0]
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aisle = str(row.get("Aisle", "")).strip()
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image = Image.open(STORE_MAP_FILE).convert("RGBA")
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draw = ImageDraw.Draw(image)
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if aisle in AISLE_TO_BOX:
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x, y, w, h = AISLE_TO_BOX[aisle]
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draw.rectangle([x, y, x + w, y + h], outline="red", width=5)
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return image
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except Exception as e:
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print(f"β οΈ Map render error: {e}")
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return Image.open(STORE_MAP_FILE)
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def suggest_items(query):
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query = query.lower()
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if "gift" in query and "500" in query:
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)
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return "π€· Sorry, no smart suggestions found. Try asking: 'Gift items under 500' or 'Shampoo for dry hair'"
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def reset_all():
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return (
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None, None, None, None, None, None, None,
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gr.update(choices=[], visible=False), "", {}, STORE_MAP_FILE
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)
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with gr.Blocks(title="RetailGenie") as demo:
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gr.Markdown("# π§ββοΈ RetailGenie β In-Store Smart Assistant")
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with gr.Tabs():
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with gr.TabItem("π§ Navigator"):
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with gr.Row():
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country = gr.Dropdown(label="π Country", choices=get_subfolders(BASE_DIR), value=None)
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quantity = gr.Dropdown(label="π’ Quantity", visible=False)
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result = gr.Textbox(label="π Product Info", lines=5)
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store_map = gr.Image(label="πΊοΈ Store Map", value=STORE_MAP_FILE, type="pil")
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data_state = gr.State()
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reset_btn = gr.Button("π Reset All")
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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)
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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)
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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)
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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)
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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)
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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)
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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])
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quantity.change(display_quantity_info, inputs=[quantity, data_state], outputs=result)
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quantity.change(generate_map_with_highlight, inputs=[quantity, data_state], outputs=store_map)
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reset_btn.click(reset_all, inputs=[], outputs=[country, state, city, store, category, product, brand, quantity, result, data_state, store_map])
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with gr.TabItem("π Smart Suggestions"):
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gr.Markdown("### π€ Ask RetailGenie for Recommendations")
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suggestion_input = gr.Textbox(label="Ask something like:", placeholder="Gift items under 500", lines=1)
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suggest_btn.click(suggest_items, inputs=suggestion_input, outputs=suggestions_output)
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demo.launch()
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