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import os
import gradio as gr
from langchain_openai import ChatOpenAI
from crewai import Agent, Task, Crew, LLM
from crewai_tools import SerperDevTool
from typing import List, Tuple
import time
OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY")
SERPER_API_KEY = os.getenv("SERPER_API_KEY")
if not OPENROUTER_API_KEY:
raise ValueError("Missing OPENROUTER_API_KEY environment variable")
if not SERPER_API_KEY:
raise ValueError("Missing SERPER_API_KEY environment variable")
crew_llm = LLM(
model="openrouter/deepseek/deepseek-r1",
base_url="https://openrouter.ai/api/v1",
api_key=OPENROUTER_API_KEY,
temperature=0.7
)
direct_llm = ChatOpenAI(
model="deepseek/deepseek-r1",
openai_api_key=OPENROUTER_API_KEY,
openai_api_base="https://openrouter.ai/api/v1",
temperature=0.7,
max_tokens=2000
)
class ConstructionChatbot:
def __init__(self):
self.memory: List[Tuple[str, str]] = []
self.setup_tools()
self.setup_crew()
def setup_tools(self):
"""Set up web search tools"""
try:
self.search_tool = SerperDevTool()
print("✅ Web search tool initialized successfully")
except Exception as e:
self.search_tool = None
print(f"⚠️ Warning: Could not initialize web search tool: {e}")
def setup_crew(self):
"""Set up CrewAI agents and tasks"""
# Tools list
tools = []
if self.search_tool:
tools.append(self.search_tool)
self.construction_agent = Agent(
role='Construction Expert Assistant',
goal='Provide accurate construction-related information ONLY. Reject all non-construction queries.',
backstory="""You are a specialized construction industry expert with deep knowledge in:
- Building safety and regulations
- Fire safety codes and compliance
- Construction materials and costs
- Project management methodologies
- Heavy machinery and equipment
- Civil engineering principles
- Structural design and analysis
- Site management and safety protocols
IMPORTANT: You MUST ONLY respond to construction-related questions.
If a user asks about anything not related to construction, building,
engineering, safety, materials, or project management, you must respond
with EXACTLY: "I can only assist with construction-related queries. Please ask about building, safety, materials, project management, or engineering topics."
When you need current information about construction topics, use the search tool.""",
llm=crew_llm,
tools=tools,
verbose=True,
allow_delegation=False,
max_iter=3,
max_execution_time=45
)
if self.search_tool:
self.research_agent = Agent(
role='Construction Research Specialist',
goal='Search and gather current construction-related information from the internet ONLY',
backstory="""You are a specialized researcher focused exclusively on construction industry topics.
You search for the most current information about:
- Construction practices and regulations
- Building costs and material prices
- Safety standards and compliance requirements
- Industry trends and new technologies
- Engineering standards and best practices
You ONLY research construction-related topics. If asked to research non-construction
topics, decline politely and redirect to construction subjects.""",
llm=crew_llm,
tools=[self.search_tool],
verbose=True,
allow_delegation=False,
max_iter=2,
max_execution_time=30
)
else:
self.research_agent = None
def add_to_memory(self, user_query: str, response: str):
"""Add interaction to rolling memory window"""
self.memory.append((user_query, response))
if len(self.memory) > 5:
self.memory.pop(0)
def get_chat_history(self) -> str:
"""Format chat history for prompt"""
if not self.memory:
return "No previous conversation."
history = ""
for i, (user_msg, bot_msg) in enumerate(self.memory, 1):
history += f"Message {i}:\nUser: {user_msg}\nAssistant: {bot_msg}\n\n"
return history.strip()
def is_construction_related(self, query: str) -> bool:
"""Simple check if query is construction-related"""
construction_keywords = [
'construction', 'building', 'concrete', 'steel', 'foundation', 'safety',
'project management', 'engineering', 'structure', 'material', 'cost',
'regulation', 'fire safety', 'osha', 'machinery', 'equipment', 'site',
'contractor', 'cement', 'rebar', 'excavation', 'blueprint', 'architect',
'electrical', 'plumbing', 'hvac', 'roofing', 'insulation', 'drywall'
]
query_lower = query.lower()
return any(keyword in query_lower for keyword in construction_keywords)
def generate_response_with_crew(self, user_query: str) -> str:
"""Generate response using CrewAI with web search capabilities"""
if not self.is_construction_related(user_query):
response = "I can only assist with construction-related queries. Please ask about building, safety, materials, project management, or engineering topics."
self.add_to_memory(user_query, response)
return response
chat_history = self.get_chat_history()
try:
search_keywords = ['current', 'latest', 'recent', 'today', '2024', '2025', 'price', 'cost', 'regulation', 'new', 'trend']
needs_search = any(keyword in user_query.lower() for keyword in search_keywords)
if needs_search and self.research_agent:
research_task = Task(
description=f"""Search for current construction-related information about: {user_query}
Focus on finding:
- Latest construction industry data
- Current material prices and costs
- Recent regulations and safety updates
- New construction technologies and methods
- Industry trends and market information
Search query should be concise and focused on construction industry information.
""",
expected_output="Current, accurate construction industry information and data",
agent=self.research_agent
)
response_task = Task(
description=f"""Based on research findings and chat history, provide a comprehensive response to: {user_query}
Chat history: {chat_history}
Guidelines:
- Use the research data to provide accurate, current information
- Focus on construction industry expertise
- Provide practical, actionable advice
- Include specific details like prices, regulations, or technical specifications when available
- Structure the response clearly and professionally
""",
expected_output="Detailed, informative construction industry response with current data",
agent=self.construction_agent,
context=[research_task]
)
crew = Crew(
agents=[self.research_agent, self.construction_agent],
tasks=[research_task, response_task],
verbose=False
)
else:
response_task = Task(
description=f"""Provide expert construction advice for: {user_query}
Chat history: {chat_history}
Guidelines:
- Draw from your construction industry expertise
- Provide detailed, accurate information
- Include relevant safety considerations
- Suggest best practices and standards
- Structure the response professionally
""",
expected_output="Expert construction industry advice and information",
agent=self.construction_agent
)
crew = Crew(
agents=[self.construction_agent],
tasks=[response_task],
verbose=False
)
result = crew.kickoff()
response = str(result).strip()
if not response or len(response) < 10:
response = "I apologize, but I'm having trouble generating a proper response. Could you please rephrase your construction-related question?"
self.add_to_memory(user_query, response)
return response
except Exception as e:
print(f"CrewAI Error: {e}")
return self.generate_response_direct(user_query)
def generate_response_direct(self, user_query: str) -> str:
"""Fallback method using direct LLM with construction filtering"""
if not self.is_construction_related(user_query):
response = "I can only assist with construction-related queries. Please ask about building, safety, materials, project management, or engineering topics."
self.add_to_memory(user_query, response)
return response
chat_history = self.get_chat_history()
prompt = f"""You are a specialized construction industry AI assistant with expertise in building, safety, materials, project management, and engineering.
Chat history: {chat_history}
User question: {user_query}
Provide a detailed, professional response focusing on construction industry knowledge. Include specific information about safety standards, building codes, material specifications, cost estimates, or project management advice as relevant to the question.
Response:"""
try:
response = direct_llm.invoke(prompt)
if hasattr(response, 'content'):
response_text = response.content
else:
response_text = str(response)
self.add_to_memory(user_query, response_text)
return response_text
except Exception as e:
fallback_response = f"""I apologize, but I'm experiencing technical difficulties. However, I can still help with construction-related questions about safety, materials, project management, and engineering. Please try rephrasing your question.
Technical error: {str(e)[:100]}..."""
self.add_to_memory(user_query, fallback_response)
return fallback_response
def generate_response(self, user_query: str) -> str:
"""Main response generation method"""
try:
return self.generate_response_with_crew(user_query)
except Exception as e:
print(f"Crew method failed, using direct method: {e}")
return self.generate_response_direct(user_query)
chatbot = ConstructionChatbot()
custom_css = """
/* Construction-themed color palette */
:root {
--construction-orange: #ff6b1a;
--construction-yellow: #ffc107;
--construction-blue: #1e88e5;
--construction-green: #4caf50;
--construction-red: #f44336;
--construction-dark: #2d3436;
--construction-darker: #1a1a1a;
--construction-light-gray: #ecf0f1;
--construction-medium-gray: #95a5a6;
--construction-steel: #34495e;
}
/* Main container styling */
.gradio-container {
background: linear-gradient(135deg, var(--construction-dark) 0%, var(--construction-darker) 100%);
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
min-height: 100vh;
}
/* Header styling */
.construction-header {
background: linear-gradient(45deg, var(--construction-orange), var(--construction-yellow));
color: #000;
text-align: center;
padding: 25px;
font-weight: bold;
font-size: 28px;
border-radius: 15px;
margin-bottom: 25px;
box-shadow: 0 8px 25px rgba(255, 107, 26, 0.4);
border: 3px solid var(--construction-yellow);
text-shadow: 1px 1px 2px rgba(0,0,0,0.1);
}
/* Chat container - Custom styling */
.chatbot {
border: 3px solid var(--construction-orange) !important;
border-radius: 15px !important;
background: linear-gradient(135deg, var(--construction-steel), #2c3e50) !important;
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.3) !important;
}
/* Message bubbles styling */
.message-wrap {
margin: 15px 0 !important;
}
.message-wrap.svelte-1lcyrx4.user {
justify-content: flex-end !important;
}
.message-wrap.svelte-1lcyrx4.bot {
justify-content: flex-start !important;
}
/* User message styling */
.message-wrap.user .message {
background: linear-gradient(135deg, var(--construction-orange), var(--construction-yellow)) !important;
color: #000 !important;
border-radius: 20px 20px 5px 20px !important;
padding: 15px 20px !important;
max-width: 75% !important;
font-weight: 500 !important;
box-shadow: 0 4px 15px rgba(255, 107, 26, 0.3) !important;
border: 2px solid var(--construction-yellow) !important;
}
/* Bot message styling */
.message-wrap.bot .message {
background: linear-gradient(135deg, var(--construction-blue), #1565c0) !important;
color: #ffffff !important;
border-radius: 20px 20px 20px 5px !important;
padding: 15px 20px !important;
max-width: 75% !important;
box-shadow: 0 4px 15px rgba(30, 136, 229, 0.3) !important;
border-left: 5px solid var(--construction-green) !important;
}
/* Input styling */
.input-container {
background: linear-gradient(135deg, var(--construction-steel), #2c3e50);
border-radius: 25px;
padding: 15px;
border: 3px solid var(--construction-orange);
margin-top: 20px;
box-shadow: 0 5px 20px rgba(0, 0, 0, 0.2);
}
/* Textbox styling */
.textbox {
background: var(--construction-dark) !important;
border: 2px solid var(--construction-orange) !important;
border-radius: 20px !important;
color: var(--construction-light-gray) !important;
padding: 15px 20px !important;
font-size: 16px !important;
}
.textbox:focus {
border-color: var(--construction-yellow) !important;
box-shadow: 0 0 15px rgba(255, 193, 7, 0.3) !important;
}
/* Button styling */
.btn-primary {
background: linear-gradient(135deg, var(--construction-orange), var(--construction-yellow)) !important;
color: #000 !important;
border: none !important;
border-radius: 20px !important;
padding: 15px 25px !important;
font-weight: bold !important;
font-size: 16px !important;
cursor: pointer !important;
transition: all 0.3s ease !important;
box-shadow: 0 4px 15px rgba(255, 107, 26, 0.3) !important;
}
.btn-primary:hover {
background: linear-gradient(135deg, var(--construction-yellow), #ffeb3b) !important;
transform: translateY(-2px) !important;
box-shadow: 0 6px 20px rgba(255, 193, 7, 0.4) !important;
}
.btn-secondary {
background: linear-gradient(135deg, var(--construction-steel), #34495e) !important;
color: var(--construction-light-gray) !important;
border: 2px solid var(--construction-medium-gray) !important;
border-radius: 15px !important;
padding: 12px 20px !important;
font-weight: bold !important;
transition: all 0.3s ease !important;
}
.btn-secondary:hover {
background: linear-gradient(135deg, var(--construction-blue), #1976d2) !important;
border-color: var(--construction-blue) !important;
transform: translateY(-2px) !important;
}
/* Status and info styling */
.status-info {
background: linear-gradient(135deg, rgba(76, 175, 80, 0.1), rgba(30, 136, 229, 0.1));
border: 2px solid var(--construction-green);
border-radius: 12px;
padding: 15px;
margin: 15px 0;
color: var(--construction-light-gray);
font-size: 14px;
box-shadow: 0 3px 10px rgba(76, 175, 80, 0.2);
}
/* Warning/info boxes */
.warning-box {
background: linear-gradient(135deg, rgba(244, 67, 54, 0.1), rgba(255, 107, 26, 0.1));
border: 2px solid var(--construction-red);
border-radius: 12px;
padding: 20px;
margin: 20px 0;
color: var(--construction-light-gray);
box-shadow: 0 4px 15px rgba(244, 67, 54, 0.2);
}
.info-box {
background: linear-gradient(135deg, rgba(30, 136, 229, 0.1), rgba(255, 193, 7, 0.1));
border: 2px solid var(--construction-blue);
border-radius: 12px;
padding: 20px;
margin: 20px 0;
color: var(--construction-light-gray);
box-shadow: 0 4px 15px rgba(30, 136, 229, 0.2);
}
.success-box {
background: linear-gradient(135deg, rgba(76, 175, 80, 0.1), rgba(255, 193, 7, 0.1));
border: 2px solid var(--construction-green);
border-radius: 12px;
padding: 20px;
margin: 20px 0;
color: var(--construction-light-gray);
box-shadow: 0 4px 15px rgba(76, 175, 80, 0.2);
}
/* Headings */
h1, h2, h3, h4 {
color: var(--construction-orange) !important;
text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3) !important;
font-weight: bold !important;
}
/* Links */
a {
color: var(--construction-yellow) !important;
text-decoration: none !important;
font-weight: bold !important;
}
a:hover {
color: var(--construction-orange) !important;
text-decoration: underline !important;
}
/* Code styling */
code {
background: var(--construction-darker) !important;
color: var(--construction-yellow) !important;
padding: 2px 6px !important;
border-radius: 4px !important;
font-family: 'Courier New', monospace !important;
}
/* Lists */
ul, ol {
color: var(--construction-light-gray);
}
li {
margin: 8px 0;
padding-left: 5px;
border-left: 3px solid var(--construction-orange);
padding-left: 10px;
margin-left: 10px;
}
/* Status indicators */
.status-indicator {
display: inline-block;
width: 12px;
height: 12px;
border-radius: 50%;
margin-right: 10px;
animation: pulse 2s infinite;
}
.status-online {
background: var(--construction-green);
box-shadow: 0 0 15px rgba(76, 175, 80, 0.6);
}
.status-offline {
background: var(--construction-red);
box-shadow: 0 0 15px rgba(244, 67, 54, 0.6);
}
@keyframes pulse {
0% { opacity: 1; }
50% { opacity: 0.5; }
100% { opacity: 1; }
}
/* Badge styling */
.badge {
background: linear-gradient(135deg, var(--construction-blue), #1565c0);
color: white;
padding: 6px 12px;
border-radius: 15px;
font-size: 12px;
font-weight: bold;
display: inline-block;
margin: 2px;
box-shadow: 0 2px 8px rgba(30, 136, 229, 0.3);
}
/* Scrollbar styling */
::-webkit-scrollbar {
width: 10px;
}
::-webkit-scrollbar-track {
background: var(--construction-darker);
border-radius: 5px;
}
::-webkit-scrollbar-thumb {
background: linear-gradient(135deg, var(--construction-orange), var(--construction-yellow));
border-radius: 5px;
}
::-webkit-scrollbar-thumb:hover {
background: linear-gradient(135deg, var(--construction-yellow), #ffeb3b);
}
/* Responsive design */
@media (max-width: 768px) {
.construction-header {
font-size: 20px;
padding: 20px 15px;
}
.message {
max-width: 90% !important;
padding: 12px 15px !important;
}
}
/* Animation for new messages */
.message-wrap {
animation: slideIn 0.3s ease-out;
}
@keyframes slideIn {
from {
opacity: 0;
transform: translateY(20px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
"""
def create_interface():
"""Create the Gradio interface with construction theme"""
with gr.Blocks(css=custom_css, title="🏗️ Construction AI Assistant - DeepSeek R1 🏗️") as interface:
gr.HTML("""
<div class="construction-header">
🏗️ CONSTRUCTION COMPANY AI ASSISTANT 🏗️
<br>
<small style="font-size: 18px; font-weight: normal; opacity: 0.9;">
Powered by <span class="badge">DeepSeek R1</span> | Expert Construction Guidance with Live Web Search
</small>
</div>
""")
def get_status_info():
search_status = "🌐 Web Search: ONLINE" if chatbot.search_tool else "🌐 Web Search: OFFLINE"
search_class = "status-online" if chatbot.search_tool else "status-offline"
memory_count = len(chatbot.memory)
return f"""
<div class="status-info">
<span class="status-indicator {search_class}"></span>
<strong>🧠 DeepSeek R1 ACTIVE</strong> |
<strong>{search_status}</strong> |
<strong>💭 Memory: {memory_count}/5</strong> |
<strong>🏗️ Construction Expert Ready</strong>
<br>
<small>🔍 Real-time construction data | 📊 Current prices & regulations | ⚡ Lightning fast responses</small>
</div>
"""
memory_status = gr.HTML(get_status_info())
with gr.Row():
with gr.Column():
chatbot_interface = gr.Chatbot(
[],
height=500,
show_label=False,
container=True,
avatar_images=("👤", "🏗️"),
bubble_full_width=False,
type="messages",
show_copy_button=True,
elem_classes=["chatbot"]
)
with gr.Row():
with gr.Column(scale=8):
msg_input = gr.Textbox(
placeholder="🏗️ Ask me about construction, safety, materials, project management, engineering, costs, regulations... (Non-construction queries will be declined)",
show_label=False,
container=False,
lines=2,
max_lines=4,
elem_classes=["textbox"]
)
with gr.Column(scale=2, min_width=120):
send_btn = gr.Button(
"🚀 SEND",
variant="primary",
size="lg",
elem_classes=["btn-primary"]
)
with gr.Row():
with gr.Column(scale=1):
clear_btn = gr.Button("🗑️ Clear Chat", variant="secondary", elem_classes=["btn-secondary"])
with gr.Column(scale=1):
examples_btn = gr.Button("💡 Examples", variant="secondary", elem_classes=["btn-secondary"])
examples_html = f"""
<div class="success-box">
<h4>✅ CONSTRUCTION QUESTIONS I CAN ANSWER {'(with Live Web Search!)' if chatbot.search_tool else ''}:</h4>
<ul>
<li><strong>📊 Current Costs:</strong> "What are today's steel and concrete prices for construction?"</li>
<li><strong>🔥 Safety Regulations:</strong> "Latest fire safety codes for high-rise buildings in 2024?"</li>
<li><strong>🏗️ Engineering:</strong> "How to calculate foundation requirements for a 10-story building?"</li>
<li><strong>⚠️ Safety Equipment:</strong> "OSHA requirements for construction site safety equipment?"</li>
<li><strong>📋 Project Management:</strong> "Best methodologies for managing large construction projects?"</li>
<li><strong>🌱 Sustainable Materials:</strong> "Latest trends in eco-friendly construction materials?"</li>
<li><strong>🔧 Equipment:</strong> "Heavy machinery recommendations for excavation projects?"</li>
<li><strong>📐 Structural Design:</strong> "Load-bearing calculations for steel frame buildings?"</li>
</ul>
</div>
<div class="warning-box">
<h4>❌ NON-CONSTRUCTION TOPICS (Will Be Politely Declined):</h4>
<ul>
<li>Sports, entertainment, cooking, general knowledge</li>
<li>Programming, medicine, finance (unless construction-related)</li>
<li>Personal advice, relationship help</li>
<li>Any topic not related to construction, building, or engineering</li>
</ul>
</div>
<div class="info-box">
<h4>💡 PRO TIPS FOR BEST RESULTS:</h4>
<ul>
<li><strong>🔍 Trigger Web Search:</strong> Use words like "current", "latest", "2024", "price", "cost" for real-time data</li>
<li><strong>📍 Be Specific:</strong> Mention location, building type, or specific materials for targeted advice</li>
<li><strong>📋 Multiple Questions:</strong> I remember our last 5 conversations for context</li>
<li><strong>🎯 Focus:</strong> Stay within construction topics for the best expert guidance</li>
</ul>
</div>
"""
examples_display = gr.HTML(examples_html, visible=False)
def update_memory_display():
return get_status_info()
def respond(message, history):
if not message.strip():
return history, "", update_memory_display()
if history is None:
history = []
history.append({"role": "user", "content": message})
try:
response = chatbot.generate_response(message)
history.append({"role": "assistant", "content": response})
except Exception as e:
error_response = f"🚨 I apologize, but I encountered an error while processing your construction query. Please try again or rephrase your question.\n\nError: {str(e)[:100]}..."
history.append({"role": "assistant", "content": error_response})
return history, "", update_memory_display()
def clear_chat():
chatbot.memory.clear()
return [], update_memory_display()
def toggle_examples(current_visibility):
return not current_visibility
msg_input.submit(respond, [msg_input, chatbot_interface], [chatbot_interface, msg_input, memory_status])
send_btn.click(respond, [msg_input, chatbot_interface], [chatbot_interface, msg_input, memory_status])
clear_btn.click(clear_chat, outputs=[chatbot_interface, memory_status])
examples_btn.click(toggle_examples, inputs=examples_display, outputs=examples_display)
if chatbot.search_tool:
gr.HTML(f"""
<div class="success-box">
<h4>🌐 WEB SEARCH ENABLED - REAL-TIME CONSTRUCTION DATA!</h4>
<p><strong>✅ Connected to Serper API</strong> - I can fetch the latest construction industry information including:</p>
<ul>
<li>Current material prices and market trends</li>
<li>Latest building codes and regulations</li>
<li>New construction technologies and methods</li>
<li>Industry news and safety updates</li>
<li>Equipment specifications and pricing</li>
</ul>
<p><small>💡 <strong>Tip:</strong> Ask questions with "current", "latest", "2024", "price" to automatically trigger web search!</small></p>
</div>
""")
else:
gr.HTML(f"""
<div class="warning-box">
<h4>⚠️ WEB SEARCH CURRENTLY DISABLED</h4>
<p><strong>Reason:</strong> Serper API key not properly configured</p>
<p><strong>Impact:</strong> I can still answer construction questions using my knowledge base, but won't have access to real-time data.</p>
<h5>🔧 To Enable Web Search:</h5>
<ol>
<li>Visit <a href="https://serper.dev" target="_blank">serper.dev</a> and get a free API key</li>
<li>Set environment variable: <code>export SERPER_API_KEY='your-key-here'</code></li>
<li>Restart the application</li>
</ol>
<p><small>💡 Even without web search, I'm still a comprehensive construction expert ready to help!</small></p>
</div>
""")
gr.HTML(f"""
<div class="info-box">
<h4>🧠 POWERED BY DEEPSEEK R1 - ADVANCED REASONING AI</h4>
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 15px; margin-top: 15px;">
<div>
<h5>🔬 Model Capabilities:</h5>
<ul>
<li>Advanced reasoning and problem-solving</li>
<li>Deep construction industry knowledge</li>
<li>Complex calculation capabilities</li>
<li>Multi-step project planning</li>
</ul>
</div>
<div>
<h5>🎯 Specialized Features:</h5>
<ul>
<li>Construction-only query filtering</li>
<li>Memory of last 5 conversations</li>
<li>Web search integration for current data</li>
<li>Professional construction advice</li>
</ul>
</div>
<div>
<h5>🛡️ Safety & Compliance:</h5>
<ul>
<li>OSHA regulation expertise</li>
<li>Building code compliance</li>
<li>Fire safety standards</li>
<li>Risk assessment guidance</li>
</ul>
</div>
</div>
</div>
""")
gr.HTML("""
<div style="text-align: center; margin-top: 30px; padding: 20px; background: linear-gradient(135deg, rgba(255, 107, 26, 0.1), rgba(255, 193, 7, 0.1)); border-radius: 15px; border: 2px solid var(--construction-orange);">
<h5 style="color: var(--construction-orange); margin-bottom: 10px;">🏗️ PROFESSIONAL CONSTRUCTION AI ASSISTANT 🏗️</h5>
<p style="color: var(--construction-light-gray); margin: 0;">
<strong>Specialized in:</strong> Building Safety • Material Costs • Project Management • Engineering • Regulations • Equipment
<br>
<small>⚡ Powered by DeepSeek R1 via OpenRouter • 🌐 Enhanced with Web Search • 🎯 Construction-Focused AI</small>
</p>
</div>
""")
return interface
if __name__ == "__main__":
interface = create_interface()
if os.getenv("SPACE_ID"):
interface.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))
else:
interface.launch(inbrowser=True, server_name="0.0.0.0", server_port=7860) |