Update app.py
Browse files
app.py
CHANGED
@@ -1,20 +1,20 @@
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import gradio as gr
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import joblib
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import json
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import math
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import re
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from deep_translator import GoogleTranslator
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from xgboost import Booster
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import warnings
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warnings.filterwarnings("ignore")
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# Load models
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xgb = Booster()
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xgb.load_model("xgb_model.json")
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rf = joblib.load("rf_model.pkl")
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# Load tile catalog and
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with open("tile_catalog.json", "r", encoding="utf-8") as f:
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tile_catalog = json.load(f)
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@@ -29,25 +29,35 @@ def translate(text, lang="en"):
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except:
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return text
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def
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# match pattern like 2x2 or 600x600
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if "x" in msg:
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parts =
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if len(parts) == 2:
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try:
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val1 = float(re.sub(r"[^\d.]", "", parts[0]))
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val2 = float(re.sub(r"[^\d.]", "", parts[1]))
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if
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sqft = (val1 * val2) / 92903.04
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else:
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sqft = val1 * val2
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return round(sqft, 2)
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except:
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@@ -55,8 +65,6 @@ def extract_tile_area(msg, unit):
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return None
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def chat_fn(message, history, user_state={}):
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message = message.strip().lower()
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if "lang" not in user_state:
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try:
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user_state["lang"] = GoogleTranslator(source="auto", target="en").detect(message)
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@@ -65,58 +73,38 @@ def chat_fn(message, history, user_state={}):
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lang = user_state["lang"]
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def reply(text): return translate(text, lang)
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if message in ["floor", "wall"]:
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user_state.clear()
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user_state["tile_type"] = message.capitalize()
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user_state["step"] = "get_length"
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return reply(f"Great! You chose {user_state['tile_type']} tiles.\nPlease enter the **length** of your space in feet:"), None, user_state
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if user_state
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try:
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user_state["
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user_state["step"] = "
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return reply("Now enter the
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except:
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return reply("Please enter a
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if user_state.get("step") == "get_width":
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try:
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user_state["width"] = float(re.sub(r"[^\d.]", "", message))
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user_state["area"] = round(user_state["length"] * user_state["width"], 2)
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user_state["step"] = "get_unit"
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return reply(f"โ
Total area is {user_state['area']} sq.ft.\nWould you like to enter tile size in **mm** or **ft**?"), None, user_state
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except:
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return reply("Please enter a valid number for width (e.g. 10):"), None, user_state
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if user_state.get("step") == "get_unit":
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if message not in ["mm", "ft"]:
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return reply("Please type either **mm** or **ft** to choose your preferred unit."), None, user_state
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user_state["unit"] = message
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user_state["step"] = "get_tile_size"
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return reply(f"Enter the tile size in {message.upper()} (e.g. 600x600, 2x2, or 4):"), None, user_state
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if user_state
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if
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user_state["tile_area"] =
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user_state["step"] = "done"
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area_needed = user_state["area"]
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tile_type = user_state["tile_type"]
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tile_needed = math.ceil((area_needed /
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best = []
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for tile in tile_catalog:
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if tile["type"].lower() == tile_type.lower():
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per_box = tile["coverage"] /
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if per_box > 0:
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boxes = math.ceil(tile_needed / per_box)
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total = boxes * tile["price"]
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@@ -132,28 +120,32 @@ def chat_fn(message, history, user_state={}):
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best.sort(key=lambda x: x["total"])
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top3 = best[:3]
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summary = f"""
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๐ฏ Top
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"""
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for i, t in enumerate(top3, 1):
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summary += f"{i}. {t['name']} ({t['size']})
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summary += "\
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return reply("
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#
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with gr.Blocks(
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gr.ChatInterface(
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fn=chat_fn,
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title="๐งฑ TileBot โ
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description="
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)
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demo.launch()
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import gradio as gr
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import joblib
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import numpy as np
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import json
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import math
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import re
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from fpdf import FPDF
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import tempfile
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from deep_translator import GoogleTranslator
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from xgboost import Booster
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# Load models
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xgb = Booster()
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xgb.load_model("xgb_model.json")
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rf = joblib.load("rf_model.pkl")
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# Load tile catalog and size mappings
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with open("tile_catalog.json", "r", encoding="utf-8") as f:
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tile_catalog = json.load(f)
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except:
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return text
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def remove_emojis(text):
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return re.sub(r'[^\x00-\x7F]+', '', text)
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def create_pdf(text):
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pdf = FPDF()
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pdf.add_page()
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pdf.add_font("FreeSans", "", "FreeSans.ttf", uni=True)
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pdf.set_font("FreeSans", size=12)
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pdf.cell(0, 10, "Tile Estimate Report", ln=True, align="C")
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pdf.ln(5)
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for line in text.strip().split("\n"):
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pdf.multi_cell(0, 10, remove_emojis(line))
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tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".pdf")
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pdf.output(tmp.name)
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return tmp.name
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def extract_tile_area(msg):
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msg = msg.lower().replace("ร", "x").replace("into", "x").replace("*", "x")
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msg = msg.replace("ft", "").replace("feet", "").replace("mm", "").strip()
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if "x" in msg:
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parts = msg.split("x")
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if len(parts) == 2:
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try:
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val1 = float(re.sub(r"[^\d.]", "", parts[0]))
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val2 = float(re.sub(r"[^\d.]", "", parts[1]))
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if val1 > 20: # treat as mm
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sqft = (val1 * val2) / 92903.04 # mmยฒ to ftยฒ
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else: # treat as feet
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sqft = val1 * val2
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return round(sqft, 2)
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except:
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return None
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def chat_fn(message, history, user_state={}):
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if "lang" not in user_state:
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try:
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user_state["lang"] = GoogleTranslator(source="auto", target="en").detect(message)
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lang = user_state["lang"]
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def reply(text): return translate(text, lang)
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if "step" not in user_state:
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if message.lower() in ["floor", "wall"]:
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user_state["tile_type"] = message.capitalize()
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user_state["step"] = "get_area"
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return reply(f"โ
Great! You selected {user_state['tile_type']} tiles.\nPlease enter the total area in sq.ft:"), None, user_state
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return reply("๐ Hello! Are you looking for Floor or Wall tiles?"), None, user_state
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if user_state["step"] == "get_area":
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try:
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user_state["area"] = float(message)
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user_state["step"] = "get_tile_size"
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return reply("๐ Now enter the tile size like 2 x 2 ft or 600x600 MM or 200 * 200:"), None, user_state
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except:
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return reply("โ Please enter a number for area (e.g. 120)."), None, user_state
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if user_state["step"] == "get_tile_size":
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area = extract_tile_area(message)
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if area is None:
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examples = "2 x 2 ft, 600x600 MM, 200*200, 1.5x1.5"
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return reply(f"โ Oops, I didn't catch that size. Try formats like: {examples}"), None, user_state
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user_state["tile_area"] = area
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user_state["step"] = "done"
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area_needed = user_state["area"]
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tile_type = user_state["tile_type"]
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tile_needed = math.ceil((area_needed / area) * 1.1)
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best = []
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for tile in tile_catalog:
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if tile["type"].lower() == tile_type.lower():
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per_box = tile["coverage"] / area
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if per_box > 0:
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boxes = math.ceil(tile_needed / per_box)
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total = boxes * tile["price"]
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best.sort(key=lambda x: x["total"])
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top3 = best[:3]
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summary = f"""
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๐งฑ Tile Type: {tile_type}
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๐ Area: {area_needed} sq.ft
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๐งฎ Tile Size: {round(area, 2)} sq.ft
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๐ข Total Tiles Needed (10% buffer): {tile_needed}
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๐ฏ Top Recommendations:
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"""
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for i, t in enumerate(top3, 1):
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summary += f"\n{i}. {t['name']} ({t['size']})\n โน{t['price']}/box โ ~{t['boxes']} boxes\n {t['url']}\n"
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summary += "\nSay 'Floor' or 'Wall' to start a new estimate."
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pdf_path = create_pdf(summary)
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return reply(summary), [pdf_path], {}
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return reply("Say 'Floor' or 'Wall' to begin again."), None, {}
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# Launch the bot
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with gr.Blocks() as demo:
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chatbot = gr.ChatInterface(
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fn=chat_fn,
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title="๐งฑ TileBot โ ChatGPT-Style Tile Estimator",
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description="Chat like a human. Enter sizes naturally like 200x200, 2 x 2 ft, or 600x600 MM.\nSay 'Floor' or 'Wall' to begin.",
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type="messages",
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additional_outputs=[gr.File(label="๐ Download Report")]
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)
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demo.launch()
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