Add application file

Dockerfile

@@ -0,0 +1,14 @@
+
+FROM python:3.9
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -0,0 +1,34 @@
+from fastapi import FastAPI
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+from langchain.llms import HuggingFacePipeline
+import torch
+
+app = FastAPI()
+
+# --- LLM Initialization using Hugging Face ---
+model_id = "Qwen/Qwen2.5-1.5B-Instruct" 
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="auto",
+    torch_dtype=torch.float16
+)
+generator = pipeline(
+    "text-generation",
+    model=model,
+    tokenizer=tokenizer,
+    max_length=256,
+    temperature=0.3,
+)
+llm = HuggingFacePipeline(pipeline=generator)
+
+# Example endpoint using the new llm
+@app.post("/query")
+async def post_query(query: str):
+    # Create a simple prompt structure
+    prompt = f"Answer the following query:\n\n{query}\n"
+    # Get the response from the LLM
+    response = llm(prompt)
+    return {"response": response}
+
+# (Keep your WebSocket endpoint and other code mostly unchanged)

metadata.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fae26b569be47c1dfae3aff3cd9ec583aaf3c7c1529e05d568278ab461fd64cf
+size 15500

tools.py

@@ -0,0 +1,217 @@
+import random
+import json
+import re
+
+# if no document found suggest some ...
+# "  - Remove currency symbol if present, convert currency to AED if user mentioned currency symbol other than AED.\n\n"
+def extract_json_from_response(response):
+    """
+    Extract a JSON object using brace counting.
+    """
+    response = response.strip()
+    start_index = response.find('{')
+    if start_index == -1:
+        return {}
+    
+    brace_count = 0
+    end_index = start_index
+    for i in range(start_index, len(response)):
+        if response[i] == '{':
+            brace_count += 1
+        elif response[i] == '}':
+            brace_count -= 1
+            if brace_count == 0:
+                end_index = i
+                break
+    candidate = response[start_index:end_index+1]
+    try:
+        return json.loads(candidate)
+    except json.JSONDecodeError as e:
+        print("Error parsing candidate JSON:", e)
+        return {}
+
+
+
+def rule_based_extract(query):
+    """
+    A lightweight extraction using regular expressions.
+    Currently detects cost thresholds and a few keywords.
+    """
+    result = {}
+    q_lower = query.lower()
+    
+    # Look for cost threshold phrases such as "under 43k"
+    cost_pattern = re.compile(r'(?:under|below|less than)\s*(\d+(?:\.\d+)?)([kKmMbB])')
+    cost_match = cost_pattern.search(q_lower)
+    if cost_match:
+        value = float(cost_match.group(1))
+        multiplier = cost_match.group(2).lower()
+        if multiplier == 'k':
+            value = int(value * 1000)
+        elif multiplier == 'm':
+            value = int(value * 1000000)
+        elif multiplier == 'b':
+            value = int(value * 1000000000)
+        result['totalCosts'] = value
+    
+    # Detect property type if mentioned
+    prop_type_match = re.search(r'\b(\d+bhk|villa|apartment|studio)\b', q_lower)
+    if prop_type_match:
+        result['propertyType'] = prop_type_match.group(1)
+    
+    return result
+
+
+
+
+
+
+def apply_filters_partial(docs, filters):
+    scored_docs = []
+    
+    for doc in docs:
+        score = 0  
+        for key, value in filters.items():
+            if key not in doc:
+                continue
+            
+            doc_value = doc[key]
+            
+            # For cost thresholds, compare numerically.
+            if key == "totalCosts":
+                try:
+                    doc_cost = float(doc_value)
+                    if doc_cost <= float(value):
+                        score += 1
+                except Exception:
+                    continue
+            else:
+                if isinstance(doc_value, str):
+                    if value.lower() in doc_value.lower():
+                        score += 1
+                else:
+                    if doc_value == value:
+                        score += 1
+        
+        scored_docs.append((score, doc))
+    
+    scored_docs = [ (score, doc) for score, doc in scored_docs if score > 0 ]
+    scored_docs.sort(key=lambda x: x[0], reverse=True)
+    return [doc for score, doc in scored_docs]
+
+
+
+def format_property_data(properties: list) -> str:
+    """Convert property JSON data into a structured string for LLM."""
+    formatted = []
+    
+    for idx, prop in enumerate(properties, 1):
+        formatted.append(
+            f"Property {idx}:\n"
+            f"- Property Type: {prop.get('propertyType', 'N/A')}\n"
+            f"- Total Cost: AED {prop.get('totalCosts'):,}" if isinstance(prop.get('totalCosts'), (int, float)) else f"AED {prop.get('totalCosts', 'N/A')}\n"
+            f"- Size: {prop.get('propertySize', 'N/A')} sqft\n"
+            f"- Property Address: {prop.get('propertyAddress', 'N/A')}\n"
+            f"- Surrounding Area: {prop.get('surroundingArea', 'N/A')}\n"
+            f"- Project Name: {prop.get('projectName', 'N/A')}\n"
+            f"- Ownership: {prop.get('ownershipType', 'N/A')}\n"
+            f"- Rental Yield: {prop.get('expectedRentalYield', 'N/A')}%\n"
+            f"- Amenities: {', '.join(prop['amenities']) if prop.get('amenities') else 'N/A'}\n"
+            f"- Legal Details: {prop.get('legal', 'N/A')}\n"
+        )
+    
+    return "\n".join(formatted)
+
+
+
+
+
+estateKeywords = [
+  # Property Types
+  "apartment", "condo", "condominium", "townhouse", "villa", "duplex", "penthouse", "studio",
+  "loft", "bungalow", "cottage", "mansion", "house", "residence", "residential", "ranch", "estate",
+  "farmhouse", "row house", "micro-apartment", "annex", "flat", "high-rise", "low-rise", "mid-rise",
+  "complex", "housing", "subdivision", "manor", "castle", "chalet", "detached", "semi-detached",
+  "terraced", "multi-family", "loft-style", "penthouse suite", "garden apartment", "luxury apartment",
+  "2bhk", "1bhk", "3bhk", "4bhk", "5bhk", "6bhk", "7bhk",
+
+  # Transaction & Financing Terms
+  "buy", "sell", "purchase", "rent", "lease", "mortgage", "financing", "investment", "appraisal",
+  "valuation", "listing", "offer", "down payment", "closing costs", "commission", "escrow",
+  "interest rate", "loan", "refinance", "pre-approval", "subsidy", "foreclosure", "buyer",
+  "seller", "renter", "lender", "broker", "realtor", "agent", "property tax", "assessment",
+  "price", "cost", "expense",
+
+  # Legal & Regulatory
+  "contract", "agreement", "title", "deed", "ownership", "legal", "zoning", "regulation", "lien",
+  "disclosure", "covenant", "restriction", "mortgage deed", "notary", "fiduciary", "amortization",
+  "leasehold", "freehold", "easement", "encumbrance", "compliance", "bylaw", "permit", "license",
+  "inspection", "certification", "survey", "boundary", "deed restriction", "eminent domain",
+  "expropriation", "title insurance", "closing statement", "settlement statement", "property assessment",
+  "tax deduction", "legal fees",
+
+  # Building Services & Amenities
+  "maintenance", "security", "concierge", "cleaning", "HVAC", "elevator", "parking", "garage", "pool",
+  "gym", "clubhouse", "garden", "landscaping", "utility", "service charge", "facility", "building management",
+  "doorman", "reception", "lobby", "front desk", "maintenance fee", "cleaner", "janitorial", "waste management",
+  "recycling", "water supply", "electricity", "gas", "internet", "cable", "satellite", "fire alarm",
+  "sprinkler", "CCTV", "access control", "smart home", "automation", "security system", "alarm system",
+
+  # Property Features & Specifications
+  "size", "area", "square feet", "sq ft", "square meter", "sqm", "layout", "floor plan", "bedrooms", "beds",
+  "bathrooms", "baths", "kitchen", "balcony", "view", "furnished", "unfurnished", "modern", "renovated",
+  "new", "old", "under construction", "pre-construction", "storage", "fireplace", "insulation", "windows",
+  "doors", "tile", "hardwood", "carpet", "luxury", "energy efficient", "solar panels", "waterproof",
+  "air-conditioned", "heating", "cooling", "soundproof", "smart features", "double glazing", "open plan",
+  "loft", "studio", "number of floors", "flooring", "ceiling height", "curb appeal", "landscaped", "patio",
+  "deck", "terrace", "roof", "basement", "attic", "renovation", "refurbishment", "architectural", "design",
+  "blueprint", "structural integrity", "energy rating", "EPC", "green building", "LEED certification",
+
+  # Location & Infrastructure
+  "location", "neighborhood", "district", "community", "proximity", "access", "landmark", "street",
+  "boulevard", "region", "central", "suburban", "urban", "rural", "metro", "vicinity", "road", "avenue",
+  "block", "postcode", "zipcode", "local", "zone", "map", "transit", "bus", "subway", "highway",
+  "railway", "airport", "shopping center", "mall", "public transport", "commute", "walkability", "bike path",
+  "pedestrian", "infrastructure", "urban planning", "master plan", "road access", "public amenities",
+  "school", "hospital", "park", "recreation", "community center", "shopping", "restaurant", "cafe", "dining",
+  "entertainment", "cultural center", "museum", "cinema", "theater", "library",
+
+  # Additional Keywords
+  "pet-friendly", "smoke-free", "homeowners association", "HOA", "amenities", "market trends", "rental yield",
+  "occupancy", "resale", "investment potential", "appreciation", "listing price", "market value", "open house",
+  "virtual tour", "3D tour", "drone footage", "photography", "staging", "showing", "signage", "sales office",
+  "walk score", "neighborhood watch", "property management", "utilities", "land", "lot", "acreage", "fenced",
+  "gated", "seaview", "mountain view", "city view", "waterfront", "lakefront", "beachfront", "vacation rental",
+  "holiday home", "timeshare", "co-op", "shared ownership", "land bank", "infill", "revitalization",
+  "urban renewal", "gentrification", "brownfield", "greenfield", "tax increment financing", "TIF",
+  "economic zone", "special economic zone", "business improvement district", "BID", "asset management",
+  "capital improvement", "utility corridor", "utility easement", "land lease", "lease option", "seller financing",
+  "buyer financing", "interest", "escrow account", "comparative market analysis", "CMA", "brokerage", "MLS",
+  "multiple listing service", "digital listing", "virtual staging", "marketing", "advertising", "sales strategy",
+  "client", "customer", "inquiry", "valuation report", "property survey", "geodetic", "topographical", "parcel",
+  "lot size", "gross floor area", "GFA", "buildable area", "usable area", "constructible area", "occupancy certificate",
+  "completion certificate", "energy performance certificate", "EPC", "retrofitting", "upgrading", "furniture",
+  "fixtures", "equipment", "FF&E", "soft costs", "hard costs", "build cost", "construction cost", "land cost",
+  "tax assessment", "expropriation", "eminent domain", "title search", "title insurance", "closing statement",
+  "settlement statement", "financial statement", "profitability", "operating expense", "CAPEX", "OPEX", "debt service",
+  "capitalization rate", "effective gross income", "net operating income", "NOI", "cash-on-cash return", "discount rate",
+  "internal rate of return", "IRR", "term sheet", "memorandum", "offering memorandum", "investment memorandum",
+  "property brochure", "marketing materials", "customer inquiry", "buyer inquiry", "seller inquiry", "agent commission",
+  "valuation model", "property portfolio", "realty", "real estate market", "property market", "property trends",
+  "rental market", "commercial real estate", "residential real estate", "real estate investment trust", "REIT",
+  "vacancy rate", "absorption rate", "lease renewal", "option to renew", "property turnover", "asset", "liability",
+  "equity", "net worth", "investment property", "tax benefit", "depreciation", "capital gain", "capital loss",
+  "market analysis", "risk assessment", "due diligence", "investment analysis", "financial analysis", "cash flow",
+  "profit margin", "return on investment", "ROI", "exit strategy", "hold period", "leasing commission", "broker fee",
+  "real estate agent fee", "property listing", "sales contract", "rent roll", "occupancy rate", "turnover", "tenant",
+  "landlord", "lease agreement", "sublease", "rental agreement", "utility bill", "property management fee",
+  "service charge fee", "annual fee", "maintenance budget", "repair cost", "operating cost", "management expense",
+  "vacancy", "absorption", "market rental rate", "submarket", "investment strategy", "property acquisition",
+  "development", "speculative development", "planned unit development", "PUD", "real estate development",
+  "site development", "land development", "construction management", "contractor", "builder",
+  "real estate consultant", "property consultant", "market research", "economic indicator", "demographics",
+  "population density", "employment rate", "income level", "consumer confidence", "building code", "sustainability",
+  "green building", "LEED", "BREEAM", "smart city", "innovation", "technology", "internet of things", "IoT",
+  "big data", "data analytics", "virtual reality", "VR", "augmented reality", "AR", "3D modeling", "drone survey",
+  "aerial photography", "satellite imagery", "market forecast", "property forecast"
+]