Commit
Β·
bd34882
0
Parent(s):
full project complete code
Browse files
README.md
ADDED
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@@ -0,0 +1,86 @@
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| 1 |
+
# Construction Company AI Assistant
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An expert, construction-only AI assistant with a modern Gradio UI, powered by DeepSeek R1 via OpenRouter, optional live web search (Serper), and CrewAI agents.
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## Features
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- **Construction-only assistant**: Politely declines non-construction queries
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- **DeepSeek R1 reasoning model**: Via OpenRouter
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- **Optional live web search**: Uses Serper to fetch current prices, codes, and updates
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- **Memory**: Remembers the last 5 Q&A pairs
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- **CrewAI agents**: Expert assistant + optional research agent
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- **Modern UI**: Construction-themed styling, examples, and status indicators
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## Whatβs inside (tech)
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- **Model**: DeepSeek R1 (OpenRouter)
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- **Agent framework**: CrewAI (`Agent`, `Task`, `Crew`, `LLM`)
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- **Web search tool**: `SerperDevTool` (optional)
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- **UI**: Gradio (messages format), auto-launches browser
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## Installation
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1) Create/activate a Python 3.10+ environment.
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2) Install dependencies:
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```bash
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pip install gradio crewai crewai-tools langchain-openai
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```
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## Configuration
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The app is preconfigured in `app.py` to use:
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- OpenRouter (DeepSeek R1) for responses
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- Optional Serper for web search (set `SERPER_API_KEY` to enable)
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Set Serper (optional) if you want live web search:
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- Windows (PowerShell):
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```powershell
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$env:SERPER_API_KEY="your-serper-api-key"
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```
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- Linux/Mac:
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```bash
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export SERPER_API_KEY="your-serper-api-key"
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```
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If you prefer, you can also run the optional setup helper:
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```bash
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python setup_env.py
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```
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## Run
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```bash
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python app.py
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```
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By default the app launches on:
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- Local: `http://localhost:7863`
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- A public Gradio share link (shown in the console)
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The UI auto-opens in your browser (`inbrowser=True`).
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## How it works (high-level)
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- Incoming questions are first filtered to ensure they are construction-related.
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- For time-sensitive questions (e.g., βcurrentβ, βlatestβ, β2024/2025β, βpriceβ, βcostβ, βregulationβ), a research agent may search the web (if Serper is enabled) and pass findings to the expert agent.
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- If anything fails, a direct LLM fallback path still answers construction questions.
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## Example questions
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- βLatest fire safety codes for high-rise buildings (2024)?β
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- βCurrent price of M30 ready-mix concrete per mΒ³ in my area?β
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- βOSHA requirements for scaffolding on construction sites?β
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- βHow to size rebar for a medium-span concrete beam?β
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- βBest project management approach for a multi-tower site?β
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## Troubleshooting
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- **Port already in use**: Change `server_port` in `app.py` (default is 7863).
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- **Web search disabled**: Set `SERPER_API_KEY` and restart.
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- **Import errors**: Run the install command again and ensure your environment is active.
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## Notes
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- The assistant strictly answers construction-related topics (building, safety, materials, project management, engineering). Non-construction queries are declined by design.
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app.py
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@@ -0,0 +1,873 @@
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|
| 1 |
+
import os
|
| 2 |
+
import gradio as gr
|
| 3 |
+
from langchain_openai import ChatOpenAI
|
| 4 |
+
from crewai import Agent, Task, Crew, LLM
|
| 5 |
+
from crewai_tools import SerperDevTool
|
| 6 |
+
from typing import List, Tuple
|
| 7 |
+
import time
|
| 8 |
+
|
| 9 |
+
# Environment variables setup
|
| 10 |
+
OPENROUTER_API_KEY = "your api key"
|
| 11 |
+
SERPER_API_KEY = "your api key"
|
| 12 |
+
|
| 13 |
+
# Set environment variable for serper
|
| 14 |
+
os.environ["SERPER_API_KEY"] = SERPER_API_KEY
|
| 15 |
+
|
| 16 |
+
# Initialize CrewAI LLM with OpenRouter (DeepSeek R1)
|
| 17 |
+
crew_llm = LLM(
|
| 18 |
+
model="openrouter/deepseek/deepseek-r1",
|
| 19 |
+
base_url="https://openrouter.ai/api/v1",
|
| 20 |
+
api_key=OPENROUTER_API_KEY,
|
| 21 |
+
temperature=0.7
|
| 22 |
+
)
|
| 23 |
+
|
| 24 |
+
# Initialize direct LangChain LLM for fallback using OpenRouter
|
| 25 |
+
direct_llm = ChatOpenAI(
|
| 26 |
+
model="deepseek/deepseek-r1",
|
| 27 |
+
openai_api_key=OPENROUTER_API_KEY,
|
| 28 |
+
openai_api_base="https://openrouter.ai/api/v1",
|
| 29 |
+
temperature=0.7,
|
| 30 |
+
max_tokens=2000
|
| 31 |
+
)
|
| 32 |
+
|
| 33 |
+
class ConstructionChatbot:
|
| 34 |
+
def __init__(self):
|
| 35 |
+
self.memory: List[Tuple[str, str]] = [] # Rolling window of 5 messages
|
| 36 |
+
self.setup_tools()
|
| 37 |
+
self.setup_crew()
|
| 38 |
+
|
| 39 |
+
def setup_tools(self):
|
| 40 |
+
"""Set up web search tools"""
|
| 41 |
+
try:
|
| 42 |
+
self.search_tool = SerperDevTool() # Will use environment variable
|
| 43 |
+
print("β
Web search tool initialized successfully")
|
| 44 |
+
except Exception as e:
|
| 45 |
+
self.search_tool = None
|
| 46 |
+
print(f"β οΈ Warning: Could not initialize web search tool: {e}")
|
| 47 |
+
|
| 48 |
+
def setup_crew(self):
|
| 49 |
+
"""Set up CrewAI agents and tasks"""
|
| 50 |
+
# Tools list
|
| 51 |
+
tools = []
|
| 52 |
+
if self.search_tool:
|
| 53 |
+
tools.append(self.search_tool)
|
| 54 |
+
|
| 55 |
+
# Construction Expert Agent with improved prompt
|
| 56 |
+
self.construction_agent = Agent(
|
| 57 |
+
role='Construction Expert Assistant',
|
| 58 |
+
goal='Provide accurate construction-related information ONLY. Reject all non-construction queries.',
|
| 59 |
+
backstory="""You are a specialized construction industry expert with deep knowledge in:
|
| 60 |
+
- Building safety and regulations
|
| 61 |
+
- Fire safety codes and compliance
|
| 62 |
+
- Construction materials and costs
|
| 63 |
+
- Project management methodologies
|
| 64 |
+
- Heavy machinery and equipment
|
| 65 |
+
- Civil engineering principles
|
| 66 |
+
- Structural design and analysis
|
| 67 |
+
- Site management and safety protocols
|
| 68 |
+
|
| 69 |
+
IMPORTANT: You MUST ONLY respond to construction-related questions.
|
| 70 |
+
If a user asks about anything not related to construction, building,
|
| 71 |
+
engineering, safety, materials, or project management, you must respond
|
| 72 |
+
with EXACTLY: "I can only assist with construction-related queries. Please ask about building, safety, materials, project management, or engineering topics."
|
| 73 |
+
|
| 74 |
+
When you need current information about construction topics, use the search tool.""",
|
| 75 |
+
llm=crew_llm,
|
| 76 |
+
tools=tools,
|
| 77 |
+
verbose=True,
|
| 78 |
+
allow_delegation=False,
|
| 79 |
+
max_iter=3,
|
| 80 |
+
max_execution_time=45
|
| 81 |
+
)
|
| 82 |
+
|
| 83 |
+
# Web Search Research Agent (for construction-related research)
|
| 84 |
+
if self.search_tool:
|
| 85 |
+
self.research_agent = Agent(
|
| 86 |
+
role='Construction Research Specialist',
|
| 87 |
+
goal='Search and gather current construction-related information from the internet ONLY',
|
| 88 |
+
backstory="""You are a specialized researcher focused exclusively on construction industry topics.
|
| 89 |
+
You search for the most current information about:
|
| 90 |
+
- Construction practices and regulations
|
| 91 |
+
- Building costs and material prices
|
| 92 |
+
- Safety standards and compliance requirements
|
| 93 |
+
- Industry trends and new technologies
|
| 94 |
+
- Engineering standards and best practices
|
| 95 |
+
|
| 96 |
+
You ONLY research construction-related topics. If asked to research non-construction
|
| 97 |
+
topics, decline politely and redirect to construction subjects.""",
|
| 98 |
+
llm=crew_llm,
|
| 99 |
+
tools=[self.search_tool],
|
| 100 |
+
verbose=True,
|
| 101 |
+
allow_delegation=False,
|
| 102 |
+
max_iter=2,
|
| 103 |
+
max_execution_time=30
|
| 104 |
+
)
|
| 105 |
+
else:
|
| 106 |
+
self.research_agent = None
|
| 107 |
+
|
| 108 |
+
def add_to_memory(self, user_query: str, response: str):
|
| 109 |
+
"""Add interaction to rolling memory window"""
|
| 110 |
+
self.memory.append((user_query, response))
|
| 111 |
+
if len(self.memory) > 5:
|
| 112 |
+
self.memory.pop(0) # Remove oldest message
|
| 113 |
+
|
| 114 |
+
def get_chat_history(self) -> str:
|
| 115 |
+
"""Format chat history for prompt"""
|
| 116 |
+
if not self.memory:
|
| 117 |
+
return "No previous conversation."
|
| 118 |
+
|
| 119 |
+
history = ""
|
| 120 |
+
for i, (user_msg, bot_msg) in enumerate(self.memory, 1):
|
| 121 |
+
history += f"Message {i}:\nUser: {user_msg}\nAssistant: {bot_msg}\n\n"
|
| 122 |
+
return history.strip()
|
| 123 |
+
|
| 124 |
+
def is_construction_related(self, query: str) -> bool:
|
| 125 |
+
"""Simple check if query is construction-related"""
|
| 126 |
+
construction_keywords = [
|
| 127 |
+
'construction', 'building', 'concrete', 'steel', 'foundation', 'safety',
|
| 128 |
+
'project management', 'engineering', 'structure', 'material', 'cost',
|
| 129 |
+
'regulation', 'fire safety', 'osha', 'machinery', 'equipment', 'site',
|
| 130 |
+
'contractor', 'cement', 'rebar', 'excavation', 'blueprint', 'architect',
|
| 131 |
+
'electrical', 'plumbing', 'hvac', 'roofing', 'insulation', 'drywall'
|
| 132 |
+
]
|
| 133 |
+
|
| 134 |
+
query_lower = query.lower()
|
| 135 |
+
return any(keyword in query_lower for keyword in construction_keywords)
|
| 136 |
+
|
| 137 |
+
def generate_response_with_crew(self, user_query: str) -> str:
|
| 138 |
+
"""Generate response using CrewAI with web search capabilities"""
|
| 139 |
+
# First check if query is construction-related
|
| 140 |
+
if not self.is_construction_related(user_query):
|
| 141 |
+
response = "I can only assist with construction-related queries. Please ask about building, safety, materials, project management, or engineering topics."
|
| 142 |
+
self.add_to_memory(user_query, response)
|
| 143 |
+
return response
|
| 144 |
+
|
| 145 |
+
chat_history = self.get_chat_history()
|
| 146 |
+
|
| 147 |
+
try:
|
| 148 |
+
# Determine if web search is needed for construction topics
|
| 149 |
+
search_keywords = ['current', 'latest', 'recent', 'today', '2024', '2025', 'price', 'cost', 'regulation', 'new', 'trend']
|
| 150 |
+
needs_search = any(keyword in user_query.lower() for keyword in search_keywords)
|
| 151 |
+
|
| 152 |
+
if needs_search and self.research_agent:
|
| 153 |
+
# Create research task first
|
| 154 |
+
research_task = Task(
|
| 155 |
+
description=f"""Search for current construction-related information about: {user_query}
|
| 156 |
+
|
| 157 |
+
Focus on finding:
|
| 158 |
+
- Latest construction industry data
|
| 159 |
+
- Current material prices and costs
|
| 160 |
+
- Recent regulations and safety updates
|
| 161 |
+
- New construction technologies and methods
|
| 162 |
+
- Industry trends and market information
|
| 163 |
+
|
| 164 |
+
Search query should be concise and focused on construction industry information.
|
| 165 |
+
""",
|
| 166 |
+
expected_output="Current, accurate construction industry information and data",
|
| 167 |
+
agent=self.research_agent
|
| 168 |
+
)
|
| 169 |
+
|
| 170 |
+
# Create response task
|
| 171 |
+
response_task = Task(
|
| 172 |
+
description=f"""Based on research findings and chat history, provide a comprehensive response to: {user_query}
|
| 173 |
+
|
| 174 |
+
Chat history: {chat_history}
|
| 175 |
+
|
| 176 |
+
Guidelines:
|
| 177 |
+
- Use the research data to provide accurate, current information
|
| 178 |
+
- Focus on construction industry expertise
|
| 179 |
+
- Provide practical, actionable advice
|
| 180 |
+
- Include specific details like prices, regulations, or technical specifications when available
|
| 181 |
+
- Structure the response clearly and professionally
|
| 182 |
+
""",
|
| 183 |
+
expected_output="Detailed, informative construction industry response with current data",
|
| 184 |
+
agent=self.construction_agent,
|
| 185 |
+
context=[research_task]
|
| 186 |
+
)
|
| 187 |
+
|
| 188 |
+
# Create crew with both agents
|
| 189 |
+
crew = Crew(
|
| 190 |
+
agents=[self.research_agent, self.construction_agent],
|
| 191 |
+
tasks=[research_task, response_task],
|
| 192 |
+
verbose=False # Reduce verbose output
|
| 193 |
+
)
|
| 194 |
+
|
| 195 |
+
else:
|
| 196 |
+
# Create direct response task
|
| 197 |
+
response_task = Task(
|
| 198 |
+
description=f"""Provide expert construction advice for: {user_query}
|
| 199 |
+
|
| 200 |
+
Chat history: {chat_history}
|
| 201 |
+
|
| 202 |
+
Guidelines:
|
| 203 |
+
- Draw from your construction industry expertise
|
| 204 |
+
- Provide detailed, accurate information
|
| 205 |
+
- Include relevant safety considerations
|
| 206 |
+
- Suggest best practices and standards
|
| 207 |
+
- Structure the response professionally
|
| 208 |
+
""",
|
| 209 |
+
expected_output="Expert construction industry advice and information",
|
| 210 |
+
agent=self.construction_agent
|
| 211 |
+
)
|
| 212 |
+
|
| 213 |
+
# Create crew with single agent
|
| 214 |
+
crew = Crew(
|
| 215 |
+
agents=[self.construction_agent],
|
| 216 |
+
tasks=[response_task],
|
| 217 |
+
verbose=False
|
| 218 |
+
)
|
| 219 |
+
|
| 220 |
+
# Execute crew
|
| 221 |
+
result = crew.kickoff()
|
| 222 |
+
response = str(result).strip()
|
| 223 |
+
|
| 224 |
+
# Clean up response if needed
|
| 225 |
+
if not response or len(response) < 10:
|
| 226 |
+
response = "I apologize, but I'm having trouble generating a proper response. Could you please rephrase your construction-related question?"
|
| 227 |
+
|
| 228 |
+
# Add to memory
|
| 229 |
+
self.add_to_memory(user_query, response)
|
| 230 |
+
return response
|
| 231 |
+
|
| 232 |
+
except Exception as e:
|
| 233 |
+
print(f"CrewAI Error: {e}")
|
| 234 |
+
# Fallback to direct LLM
|
| 235 |
+
return self.generate_response_direct(user_query)
|
| 236 |
+
|
| 237 |
+
def generate_response_direct(self, user_query: str) -> str:
|
| 238 |
+
"""Fallback method using direct LLM with construction filtering"""
|
| 239 |
+
if not self.is_construction_related(user_query):
|
| 240 |
+
response = "I can only assist with construction-related queries. Please ask about building, safety, materials, project management, or engineering topics."
|
| 241 |
+
self.add_to_memory(user_query, response)
|
| 242 |
+
return response
|
| 243 |
+
|
| 244 |
+
chat_history = self.get_chat_history()
|
| 245 |
+
|
| 246 |
+
prompt = f"""You are a specialized construction industry AI assistant with expertise in building, safety, materials, project management, and engineering.
|
| 247 |
+
|
| 248 |
+
Chat history: {chat_history}
|
| 249 |
+
|
| 250 |
+
User question: {user_query}
|
| 251 |
+
|
| 252 |
+
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.
|
| 253 |
+
|
| 254 |
+
Response:"""
|
| 255 |
+
|
| 256 |
+
try:
|
| 257 |
+
response = direct_llm.invoke(prompt)
|
| 258 |
+
if hasattr(response, 'content'):
|
| 259 |
+
response_text = response.content
|
| 260 |
+
else:
|
| 261 |
+
response_text = str(response)
|
| 262 |
+
|
| 263 |
+
self.add_to_memory(user_query, response_text)
|
| 264 |
+
return response_text
|
| 265 |
+
|
| 266 |
+
except Exception as e:
|
| 267 |
+
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.
|
| 268 |
+
|
| 269 |
+
Technical error: {str(e)[:100]}..."""
|
| 270 |
+
|
| 271 |
+
self.add_to_memory(user_query, fallback_response)
|
| 272 |
+
return fallback_response
|
| 273 |
+
|
| 274 |
+
def generate_response(self, user_query: str) -> str:
|
| 275 |
+
"""Main response generation method"""
|
| 276 |
+
try:
|
| 277 |
+
return self.generate_response_with_crew(user_query)
|
| 278 |
+
except Exception as e:
|
| 279 |
+
print(f"Crew method failed, using direct method: {e}")
|
| 280 |
+
return self.generate_response_direct(user_query)
|
| 281 |
+
|
| 282 |
+
# Initialize chatbot
|
| 283 |
+
chatbot = ConstructionChatbot()
|
| 284 |
+
|
| 285 |
+
# Custom CSS for construction-themed interface with vibrant colors
|
| 286 |
+
custom_css = """
|
| 287 |
+
/* Construction-themed color palette */
|
| 288 |
+
:root {
|
| 289 |
+
--construction-orange: #ff6b1a;
|
| 290 |
+
--construction-yellow: #ffc107;
|
| 291 |
+
--construction-blue: #1e88e5;
|
| 292 |
+
--construction-green: #4caf50;
|
| 293 |
+
--construction-red: #f44336;
|
| 294 |
+
--construction-dark: #2d3436;
|
| 295 |
+
--construction-darker: #1a1a1a;
|
| 296 |
+
--construction-light-gray: #ecf0f1;
|
| 297 |
+
--construction-medium-gray: #95a5a6;
|
| 298 |
+
--construction-steel: #34495e;
|
| 299 |
+
}
|
| 300 |
+
|
| 301 |
+
/* Main container styling */
|
| 302 |
+
.gradio-container {
|
| 303 |
+
background: linear-gradient(135deg, var(--construction-dark) 0%, var(--construction-darker) 100%);
|
| 304 |
+
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
| 305 |
+
min-height: 100vh;
|
| 306 |
+
}
|
| 307 |
+
|
| 308 |
+
/* Header styling */
|
| 309 |
+
.construction-header {
|
| 310 |
+
background: linear-gradient(45deg, var(--construction-orange), var(--construction-yellow));
|
| 311 |
+
color: #000;
|
| 312 |
+
text-align: center;
|
| 313 |
+
padding: 25px;
|
| 314 |
+
font-weight: bold;
|
| 315 |
+
font-size: 28px;
|
| 316 |
+
border-radius: 15px;
|
| 317 |
+
margin-bottom: 25px;
|
| 318 |
+
box-shadow: 0 8px 25px rgba(255, 107, 26, 0.4);
|
| 319 |
+
border: 3px solid var(--construction-yellow);
|
| 320 |
+
text-shadow: 1px 1px 2px rgba(0,0,0,0.1);
|
| 321 |
+
}
|
| 322 |
+
|
| 323 |
+
/* Chat container - Custom styling */
|
| 324 |
+
.chatbot {
|
| 325 |
+
border: 3px solid var(--construction-orange) !important;
|
| 326 |
+
border-radius: 15px !important;
|
| 327 |
+
background: linear-gradient(135deg, var(--construction-steel), #2c3e50) !important;
|
| 328 |
+
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.3) !important;
|
| 329 |
+
}
|
| 330 |
+
|
| 331 |
+
/* Message bubbles styling */
|
| 332 |
+
.message-wrap {
|
| 333 |
+
margin: 15px 0 !important;
|
| 334 |
+
}
|
| 335 |
+
|
| 336 |
+
.message-wrap.svelte-1lcyrx4.user {
|
| 337 |
+
justify-content: flex-end !important;
|
| 338 |
+
}
|
| 339 |
+
|
| 340 |
+
.message-wrap.svelte-1lcyrx4.bot {
|
| 341 |
+
justify-content: flex-start !important;
|
| 342 |
+
}
|
| 343 |
+
|
| 344 |
+
/* User message styling */
|
| 345 |
+
.message-wrap.user .message {
|
| 346 |
+
background: linear-gradient(135deg, var(--construction-orange), var(--construction-yellow)) !important;
|
| 347 |
+
color: #000 !important;
|
| 348 |
+
border-radius: 20px 20px 5px 20px !important;
|
| 349 |
+
padding: 15px 20px !important;
|
| 350 |
+
max-width: 75% !important;
|
| 351 |
+
font-weight: 500 !important;
|
| 352 |
+
box-shadow: 0 4px 15px rgba(255, 107, 26, 0.3) !important;
|
| 353 |
+
border: 2px solid var(--construction-yellow) !important;
|
| 354 |
+
}
|
| 355 |
+
|
| 356 |
+
/* Bot message styling */
|
| 357 |
+
.message-wrap.bot .message {
|
| 358 |
+
background: linear-gradient(135deg, var(--construction-blue), #1565c0) !important;
|
| 359 |
+
color: #ffffff !important;
|
| 360 |
+
border-radius: 20px 20px 20px 5px !important;
|
| 361 |
+
padding: 15px 20px !important;
|
| 362 |
+
max-width: 75% !important;
|
| 363 |
+
box-shadow: 0 4px 15px rgba(30, 136, 229, 0.3) !important;
|
| 364 |
+
border-left: 5px solid var(--construction-green) !important;
|
| 365 |
+
}
|
| 366 |
+
|
| 367 |
+
/* Input styling */
|
| 368 |
+
.input-container {
|
| 369 |
+
background: linear-gradient(135deg, var(--construction-steel), #2c3e50);
|
| 370 |
+
border-radius: 25px;
|
| 371 |
+
padding: 15px;
|
| 372 |
+
border: 3px solid var(--construction-orange);
|
| 373 |
+
margin-top: 20px;
|
| 374 |
+
box-shadow: 0 5px 20px rgba(0, 0, 0, 0.2);
|
| 375 |
+
}
|
| 376 |
+
|
| 377 |
+
/* Textbox styling */
|
| 378 |
+
.textbox {
|
| 379 |
+
background: var(--construction-dark) !important;
|
| 380 |
+
border: 2px solid var(--construction-orange) !important;
|
| 381 |
+
border-radius: 20px !important;
|
| 382 |
+
color: var(--construction-light-gray) !important;
|
| 383 |
+
padding: 15px 20px !important;
|
| 384 |
+
font-size: 16px !important;
|
| 385 |
+
}
|
| 386 |
+
|
| 387 |
+
.textbox:focus {
|
| 388 |
+
border-color: var(--construction-yellow) !important;
|
| 389 |
+
box-shadow: 0 0 15px rgba(255, 193, 7, 0.3) !important;
|
| 390 |
+
}
|
| 391 |
+
|
| 392 |
+
/* Button styling */
|
| 393 |
+
.btn-primary {
|
| 394 |
+
background: linear-gradient(135deg, var(--construction-orange), var(--construction-yellow)) !important;
|
| 395 |
+
color: #000 !important;
|
| 396 |
+
border: none !important;
|
| 397 |
+
border-radius: 20px !important;
|
| 398 |
+
padding: 15px 25px !important;
|
| 399 |
+
font-weight: bold !important;
|
| 400 |
+
font-size: 16px !important;
|
| 401 |
+
cursor: pointer !important;
|
| 402 |
+
transition: all 0.3s ease !important;
|
| 403 |
+
box-shadow: 0 4px 15px rgba(255, 107, 26, 0.3) !important;
|
| 404 |
+
}
|
| 405 |
+
|
| 406 |
+
.btn-primary:hover {
|
| 407 |
+
background: linear-gradient(135deg, var(--construction-yellow), #ffeb3b) !important;
|
| 408 |
+
transform: translateY(-2px) !important;
|
| 409 |
+
box-shadow: 0 6px 20px rgba(255, 193, 7, 0.4) !important;
|
| 410 |
+
}
|
| 411 |
+
|
| 412 |
+
.btn-secondary {
|
| 413 |
+
background: linear-gradient(135deg, var(--construction-steel), #34495e) !important;
|
| 414 |
+
color: var(--construction-light-gray) !important;
|
| 415 |
+
border: 2px solid var(--construction-medium-gray) !important;
|
| 416 |
+
border-radius: 15px !important;
|
| 417 |
+
padding: 12px 20px !important;
|
| 418 |
+
font-weight: bold !important;
|
| 419 |
+
transition: all 0.3s ease !important;
|
| 420 |
+
}
|
| 421 |
+
|
| 422 |
+
.btn-secondary:hover {
|
| 423 |
+
background: linear-gradient(135deg, var(--construction-blue), #1976d2) !important;
|
| 424 |
+
border-color: var(--construction-blue) !important;
|
| 425 |
+
transform: translateY(-2px) !important;
|
| 426 |
+
}
|
| 427 |
+
|
| 428 |
+
/* Status and info styling */
|
| 429 |
+
.status-info {
|
| 430 |
+
background: linear-gradient(135deg, rgba(76, 175, 80, 0.1), rgba(30, 136, 229, 0.1));
|
| 431 |
+
border: 2px solid var(--construction-green);
|
| 432 |
+
border-radius: 12px;
|
| 433 |
+
padding: 15px;
|
| 434 |
+
margin: 15px 0;
|
| 435 |
+
color: var(--construction-light-gray);
|
| 436 |
+
font-size: 14px;
|
| 437 |
+
box-shadow: 0 3px 10px rgba(76, 175, 80, 0.2);
|
| 438 |
+
}
|
| 439 |
+
|
| 440 |
+
/* Warning/info boxes */
|
| 441 |
+
.warning-box {
|
| 442 |
+
background: linear-gradient(135deg, rgba(244, 67, 54, 0.1), rgba(255, 107, 26, 0.1));
|
| 443 |
+
border: 2px solid var(--construction-red);
|
| 444 |
+
border-radius: 12px;
|
| 445 |
+
padding: 20px;
|
| 446 |
+
margin: 20px 0;
|
| 447 |
+
color: var(--construction-light-gray);
|
| 448 |
+
box-shadow: 0 4px 15px rgba(244, 67, 54, 0.2);
|
| 449 |
+
}
|
| 450 |
+
|
| 451 |
+
.info-box {
|
| 452 |
+
background: linear-gradient(135deg, rgba(30, 136, 229, 0.1), rgba(255, 193, 7, 0.1));
|
| 453 |
+
border: 2px solid var(--construction-blue);
|
| 454 |
+
border-radius: 12px;
|
| 455 |
+
padding: 20px;
|
| 456 |
+
margin: 20px 0;
|
| 457 |
+
color: var(--construction-light-gray);
|
| 458 |
+
box-shadow: 0 4px 15px rgba(30, 136, 229, 0.2);
|
| 459 |
+
}
|
| 460 |
+
|
| 461 |
+
.success-box {
|
| 462 |
+
background: linear-gradient(135deg, rgba(76, 175, 80, 0.1), rgba(255, 193, 7, 0.1));
|
| 463 |
+
border: 2px solid var(--construction-green);
|
| 464 |
+
border-radius: 12px;
|
| 465 |
+
padding: 20px;
|
| 466 |
+
margin: 20px 0;
|
| 467 |
+
color: var(--construction-light-gray);
|
| 468 |
+
box-shadow: 0 4px 15px rgba(76, 175, 80, 0.2);
|
| 469 |
+
}
|
| 470 |
+
|
| 471 |
+
/* Headings */
|
| 472 |
+
h1, h2, h3, h4 {
|
| 473 |
+
color: var(--construction-orange) !important;
|
| 474 |
+
text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3) !important;
|
| 475 |
+
font-weight: bold !important;
|
| 476 |
+
}
|
| 477 |
+
|
| 478 |
+
/* Links */
|
| 479 |
+
a {
|
| 480 |
+
color: var(--construction-yellow) !important;
|
| 481 |
+
text-decoration: none !important;
|
| 482 |
+
font-weight: bold !important;
|
| 483 |
+
}
|
| 484 |
+
|
| 485 |
+
a:hover {
|
| 486 |
+
color: var(--construction-orange) !important;
|
| 487 |
+
text-decoration: underline !important;
|
| 488 |
+
}
|
| 489 |
+
|
| 490 |
+
/* Code styling */
|
| 491 |
+
code {
|
| 492 |
+
background: var(--construction-darker) !important;
|
| 493 |
+
color: var(--construction-yellow) !important;
|
| 494 |
+
padding: 2px 6px !important;
|
| 495 |
+
border-radius: 4px !important;
|
| 496 |
+
font-family: 'Courier New', monospace !important;
|
| 497 |
+
}
|
| 498 |
+
|
| 499 |
+
/* Lists */
|
| 500 |
+
ul, ol {
|
| 501 |
+
color: var(--construction-light-gray);
|
| 502 |
+
}
|
| 503 |
+
|
| 504 |
+
li {
|
| 505 |
+
margin: 8px 0;
|
| 506 |
+
padding-left: 5px;
|
| 507 |
+
border-left: 3px solid var(--construction-orange);
|
| 508 |
+
padding-left: 10px;
|
| 509 |
+
margin-left: 10px;
|
| 510 |
+
}
|
| 511 |
+
|
| 512 |
+
/* Status indicators */
|
| 513 |
+
.status-indicator {
|
| 514 |
+
display: inline-block;
|
| 515 |
+
width: 12px;
|
| 516 |
+
height: 12px;
|
| 517 |
+
border-radius: 50%;
|
| 518 |
+
margin-right: 10px;
|
| 519 |
+
animation: pulse 2s infinite;
|
| 520 |
+
}
|
| 521 |
+
|
| 522 |
+
.status-online {
|
| 523 |
+
background: var(--construction-green);
|
| 524 |
+
box-shadow: 0 0 15px rgba(76, 175, 80, 0.6);
|
| 525 |
+
}
|
| 526 |
+
|
| 527 |
+
.status-offline {
|
| 528 |
+
background: var(--construction-red);
|
| 529 |
+
box-shadow: 0 0 15px rgba(244, 67, 54, 0.6);
|
| 530 |
+
}
|
| 531 |
+
|
| 532 |
+
@keyframes pulse {
|
| 533 |
+
0% { opacity: 1; }
|
| 534 |
+
50% { opacity: 0.5; }
|
| 535 |
+
100% { opacity: 1; }
|
| 536 |
+
}
|
| 537 |
+
|
| 538 |
+
/* Badge styling */
|
| 539 |
+
.badge {
|
| 540 |
+
background: linear-gradient(135deg, var(--construction-blue), #1565c0);
|
| 541 |
+
color: white;
|
| 542 |
+
padding: 6px 12px;
|
| 543 |
+
border-radius: 15px;
|
| 544 |
+
font-size: 12px;
|
| 545 |
+
font-weight: bold;
|
| 546 |
+
display: inline-block;
|
| 547 |
+
margin: 2px;
|
| 548 |
+
box-shadow: 0 2px 8px rgba(30, 136, 229, 0.3);
|
| 549 |
+
}
|
| 550 |
+
|
| 551 |
+
/* Scrollbar styling */
|
| 552 |
+
::-webkit-scrollbar {
|
| 553 |
+
width: 10px;
|
| 554 |
+
}
|
| 555 |
+
|
| 556 |
+
::-webkit-scrollbar-track {
|
| 557 |
+
background: var(--construction-darker);
|
| 558 |
+
border-radius: 5px;
|
| 559 |
+
}
|
| 560 |
+
|
| 561 |
+
::-webkit-scrollbar-thumb {
|
| 562 |
+
background: linear-gradient(135deg, var(--construction-orange), var(--construction-yellow));
|
| 563 |
+
border-radius: 5px;
|
| 564 |
+
}
|
| 565 |
+
|
| 566 |
+
::-webkit-scrollbar-thumb:hover {
|
| 567 |
+
background: linear-gradient(135deg, var(--construction-yellow), #ffeb3b);
|
| 568 |
+
}
|
| 569 |
+
|
| 570 |
+
/* Responsive design */
|
| 571 |
+
@media (max-width: 768px) {
|
| 572 |
+
.construction-header {
|
| 573 |
+
font-size: 20px;
|
| 574 |
+
padding: 20px 15px;
|
| 575 |
+
}
|
| 576 |
+
|
| 577 |
+
.message {
|
| 578 |
+
max-width: 90% !important;
|
| 579 |
+
padding: 12px 15px !important;
|
| 580 |
+
}
|
| 581 |
+
}
|
| 582 |
+
|
| 583 |
+
/* Animation for new messages */
|
| 584 |
+
.message-wrap {
|
| 585 |
+
animation: slideIn 0.3s ease-out;
|
| 586 |
+
}
|
| 587 |
+
|
| 588 |
+
@keyframes slideIn {
|
| 589 |
+
from {
|
| 590 |
+
opacity: 0;
|
| 591 |
+
transform: translateY(20px);
|
| 592 |
+
}
|
| 593 |
+
to {
|
| 594 |
+
opacity: 1;
|
| 595 |
+
transform: translateY(0);
|
| 596 |
+
}
|
| 597 |
+
}
|
| 598 |
+
"""
|
| 599 |
+
|
| 600 |
+
def create_interface():
|
| 601 |
+
"""Create the Gradio interface with construction theme"""
|
| 602 |
+
|
| 603 |
+
with gr.Blocks(css=custom_css, title="ποΈ Construction AI Assistant - DeepSeek R1 ποΈ") as interface:
|
| 604 |
+
|
| 605 |
+
# Header with construction theme
|
| 606 |
+
gr.HTML("""
|
| 607 |
+
<div class="construction-header">
|
| 608 |
+
ποΈ CONSTRUCTION COMPANY AI ASSISTANT ποΈ
|
| 609 |
+
<br>
|
| 610 |
+
<small style="font-size: 18px; font-weight: normal; opacity: 0.9;">
|
| 611 |
+
Powered by <span class="badge">DeepSeek R1</span> | Expert Construction Guidance with Live Web Search
|
| 612 |
+
</small>
|
| 613 |
+
</div>
|
| 614 |
+
""")
|
| 615 |
+
|
| 616 |
+
# Status display with construction styling
|
| 617 |
+
def get_status_info():
|
| 618 |
+
search_status = "π Web Search: ONLINE" if chatbot.search_tool else "π Web Search: OFFLINE"
|
| 619 |
+
search_class = "status-online" if chatbot.search_tool else "status-offline"
|
| 620 |
+
memory_count = len(chatbot.memory)
|
| 621 |
+
|
| 622 |
+
return f"""
|
| 623 |
+
<div class="status-info">
|
| 624 |
+
<span class="status-indicator {search_class}"></span>
|
| 625 |
+
<strong>π§ DeepSeek R1 ACTIVE</strong> |
|
| 626 |
+
<strong>{search_status}</strong> |
|
| 627 |
+
<strong>π Memory: {memory_count}/5</strong> |
|
| 628 |
+
<strong>ποΈ Construction Expert Ready</strong>
|
| 629 |
+
<br>
|
| 630 |
+
<small>π Real-time construction data | π Current prices & regulations | β‘ Lightning fast responses</small>
|
| 631 |
+
</div>
|
| 632 |
+
"""
|
| 633 |
+
|
| 634 |
+
memory_status = gr.HTML(get_status_info())
|
| 635 |
+
|
| 636 |
+
# Main chat interface
|
| 637 |
+
with gr.Row():
|
| 638 |
+
with gr.Column():
|
| 639 |
+
chatbot_interface = gr.Chatbot(
|
| 640 |
+
[],
|
| 641 |
+
height=500,
|
| 642 |
+
show_label=False,
|
| 643 |
+
container=True,
|
| 644 |
+
avatar_images=("π€", "ποΈ"),
|
| 645 |
+
bubble_full_width=False,
|
| 646 |
+
type="messages",
|
| 647 |
+
show_copy_button=True,
|
| 648 |
+
elem_classes=["chatbot"]
|
| 649 |
+
)
|
| 650 |
+
|
| 651 |
+
# Input section with construction styling
|
| 652 |
+
with gr.Row():
|
| 653 |
+
with gr.Column(scale=8):
|
| 654 |
+
msg_input = gr.Textbox(
|
| 655 |
+
placeholder="ποΈ Ask me about construction, safety, materials, project management, engineering, costs, regulations... (Non-construction queries will be declined)",
|
| 656 |
+
show_label=False,
|
| 657 |
+
container=False,
|
| 658 |
+
lines=2,
|
| 659 |
+
max_lines=4,
|
| 660 |
+
elem_classes=["textbox"]
|
| 661 |
+
)
|
| 662 |
+
with gr.Column(scale=2, min_width=120):
|
| 663 |
+
send_btn = gr.Button(
|
| 664 |
+
"π SEND",
|
| 665 |
+
variant="primary",
|
| 666 |
+
size="lg",
|
| 667 |
+
elem_classes=["btn-primary"]
|
| 668 |
+
)
|
| 669 |
+
|
| 670 |
+
# Quick action buttons
|
| 671 |
+
with gr.Row():
|
| 672 |
+
with gr.Column(scale=1):
|
| 673 |
+
clear_btn = gr.Button("ποΈ Clear Chat", variant="secondary", elem_classes=["btn-secondary"])
|
| 674 |
+
with gr.Column(scale=1):
|
| 675 |
+
examples_btn = gr.Button("π‘ Examples", variant="secondary", elem_classes=["btn-secondary"])
|
| 676 |
+
|
| 677 |
+
# Example questions and features
|
| 678 |
+
examples_html = f"""
|
| 679 |
+
<div class="success-box">
|
| 680 |
+
<h4>β
CONSTRUCTION QUESTIONS I CAN ANSWER {'(with Live Web Search!)' if chatbot.search_tool else ''}:</h4>
|
| 681 |
+
<ul>
|
| 682 |
+
<li><strong>π Current Costs:</strong> "What are today's steel and concrete prices for construction?"</li>
|
| 683 |
+
<li><strong>π₯ Safety Regulations:</strong> "Latest fire safety codes for high-rise buildings in 2024?"</li>
|
| 684 |
+
<li><strong>ποΈ Engineering:</strong> "How to calculate foundation requirements for a 10-story building?"</li>
|
| 685 |
+
<li><strong>β οΈ Safety Equipment:</strong> "OSHA requirements for construction site safety equipment?"</li>
|
| 686 |
+
<li><strong>π Project Management:</strong> "Best methodologies for managing large construction projects?"</li>
|
| 687 |
+
<li><strong>π± Sustainable Materials:</strong> "Latest trends in eco-friendly construction materials?"</li>
|
| 688 |
+
<li><strong>π§ Equipment:</strong> "Heavy machinery recommendations for excavation projects?"</li>
|
| 689 |
+
<li><strong>π Structural Design:</strong> "Load-bearing calculations for steel frame buildings?"</li>
|
| 690 |
+
</ul>
|
| 691 |
+
</div>
|
| 692 |
+
|
| 693 |
+
<div class="warning-box">
|
| 694 |
+
<h4>β NON-CONSTRUCTION TOPICS (Will Be Politely Declined):</h4>
|
| 695 |
+
<ul>
|
| 696 |
+
<li>Sports, entertainment, cooking, general knowledge</li>
|
| 697 |
+
<li>Programming, medicine, finance (unless construction-related)</li>
|
| 698 |
+
<li>Personal advice, relationship help</li>
|
| 699 |
+
<li>Any topic not related to construction, building, or engineering</li>
|
| 700 |
+
</ul>
|
| 701 |
+
</div>
|
| 702 |
+
|
| 703 |
+
<div class="info-box">
|
| 704 |
+
<h4>π‘ PRO TIPS FOR BEST RESULTS:</h4>
|
| 705 |
+
<ul>
|
| 706 |
+
<li><strong>π Trigger Web Search:</strong> Use words like "current", "latest", "2024", "price", "cost" for real-time data</li>
|
| 707 |
+
<li><strong>π Be Specific:</strong> Mention location, building type, or specific materials for targeted advice</li>
|
| 708 |
+
<li><strong>π Multiple Questions:</strong> I remember our last 5 conversations for context</li>
|
| 709 |
+
<li><strong>π― Focus:</strong> Stay within construction topics for the best expert guidance</li>
|
| 710 |
+
</ul>
|
| 711 |
+
</div>
|
| 712 |
+
"""
|
| 713 |
+
|
| 714 |
+
examples_display = gr.HTML(examples_html, visible=False)
|
| 715 |
+
|
| 716 |
+
# Event handlers
|
| 717 |
+
def update_memory_display():
|
| 718 |
+
return get_status_info()
|
| 719 |
+
|
| 720 |
+
def respond(message, history):
|
| 721 |
+
if not message.strip():
|
| 722 |
+
return history, "", update_memory_display()
|
| 723 |
+
|
| 724 |
+
# Add typing indicator (simulation)
|
| 725 |
+
if history is None:
|
| 726 |
+
history = []
|
| 727 |
+
|
| 728 |
+
# Add user message
|
| 729 |
+
history.append({"role": "user", "content": message})
|
| 730 |
+
|
| 731 |
+
# Generate bot response
|
| 732 |
+
try:
|
| 733 |
+
response = chatbot.generate_response(message)
|
| 734 |
+
history.append({"role": "assistant", "content": response})
|
| 735 |
+
except Exception as e:
|
| 736 |
+
error_response = f"π¨ I apologize, but I encountered an error while processing your construction query. Please try again or rephrase your question.\n\nError: {str(e)[:100]}..."
|
| 737 |
+
history.append({"role": "assistant", "content": error_response})
|
| 738 |
+
|
| 739 |
+
return history, "", update_memory_display()
|
| 740 |
+
|
| 741 |
+
def clear_chat():
|
| 742 |
+
chatbot.memory.clear()
|
| 743 |
+
return [], update_memory_display()
|
| 744 |
+
|
| 745 |
+
def toggle_examples(current_visibility):
|
| 746 |
+
return not current_visibility
|
| 747 |
+
|
| 748 |
+
# Wire up events
|
| 749 |
+
msg_input.submit(respond, [msg_input, chatbot_interface], [chatbot_interface, msg_input, memory_status])
|
| 750 |
+
send_btn.click(respond, [msg_input, chatbot_interface], [chatbot_interface, msg_input, memory_status])
|
| 751 |
+
clear_btn.click(clear_chat, outputs=[chatbot_interface, memory_status])
|
| 752 |
+
examples_btn.click(toggle_examples, inputs=examples_display, outputs=examples_display)
|
| 753 |
+
|
| 754 |
+
# Web search status info
|
| 755 |
+
if chatbot.search_tool:
|
| 756 |
+
gr.HTML(f"""
|
| 757 |
+
<div class="success-box">
|
| 758 |
+
<h4>π WEB SEARCH ENABLED - REAL-TIME CONSTRUCTION DATA!</h4>
|
| 759 |
+
<p><strong>β
Connected to Serper API</strong> - I can fetch the latest construction industry information including:</p>
|
| 760 |
+
<ul>
|
| 761 |
+
<li>Current material prices and market trends</li>
|
| 762 |
+
<li>Latest building codes and regulations</li>
|
| 763 |
+
<li>New construction technologies and methods</li>
|
| 764 |
+
<li>Industry news and safety updates</li>
|
| 765 |
+
<li>Equipment specifications and pricing</li>
|
| 766 |
+
</ul>
|
| 767 |
+
<p><small>π‘ <strong>Tip:</strong> Ask questions with "current", "latest", "2024", "price" to automatically trigger web search!</small></p>
|
| 768 |
+
</div>
|
| 769 |
+
""")
|
| 770 |
+
else:
|
| 771 |
+
gr.HTML(f"""
|
| 772 |
+
<div class="warning-box">
|
| 773 |
+
<h4>β οΈ WEB SEARCH CURRENTLY DISABLED</h4>
|
| 774 |
+
<p><strong>Reason:</strong> Serper API key not properly configured</p>
|
| 775 |
+
<p><strong>Impact:</strong> I can still answer construction questions using my knowledge base, but won't have access to real-time data.</p>
|
| 776 |
+
|
| 777 |
+
<h5>π§ To Enable Web Search:</h5>
|
| 778 |
+
<ol>
|
| 779 |
+
<li>Visit <a href="https://serper.dev" target="_blank">serper.dev</a> and get a free API key</li>
|
| 780 |
+
<li>Set environment variable: <code>export SERPER_API_KEY='your-key-here'</code></li>
|
| 781 |
+
<li>Restart the application</li>
|
| 782 |
+
</ol>
|
| 783 |
+
<p><small>π‘ Even without web search, I'm still a comprehensive construction expert ready to help!</small></p>
|
| 784 |
+
</div>
|
| 785 |
+
""")
|
| 786 |
+
|
| 787 |
+
# DeepSeek R1 and model information
|
| 788 |
+
gr.HTML(f"""
|
| 789 |
+
<div class="info-box">
|
| 790 |
+
<h4>π§ POWERED BY DEEPSEEK R1 - ADVANCED REASONING AI</h4>
|
| 791 |
+
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 15px; margin-top: 15px;">
|
| 792 |
+
<div>
|
| 793 |
+
<h5>π¬ Model Capabilities:</h5>
|
| 794 |
+
<ul>
|
| 795 |
+
<li>Advanced reasoning and problem-solving</li>
|
| 796 |
+
<li>Deep construction industry knowledge</li>
|
| 797 |
+
<li>Complex calculation capabilities</li>
|
| 798 |
+
<li>Multi-step project planning</li>
|
| 799 |
+
</ul>
|
| 800 |
+
</div>
|
| 801 |
+
<div>
|
| 802 |
+
<h5>π― Specialized Features:</h5>
|
| 803 |
+
<ul>
|
| 804 |
+
<li>Construction-only query filtering</li>
|
| 805 |
+
<li>Memory of last 5 conversations</li>
|
| 806 |
+
<li>Web search integration for current data</li>
|
| 807 |
+
<li>Professional construction advice</li>
|
| 808 |
+
</ul>
|
| 809 |
+
</div>
|
| 810 |
+
<div>
|
| 811 |
+
<h5>π‘οΈ Safety & Compliance:</h5>
|
| 812 |
+
<ul>
|
| 813 |
+
<li>OSHA regulation expertise</li>
|
| 814 |
+
<li>Building code compliance</li>
|
| 815 |
+
<li>Fire safety standards</li>
|
| 816 |
+
<li>Risk assessment guidance</li>
|
| 817 |
+
</ul>
|
| 818 |
+
</div>
|
| 819 |
+
</div>
|
| 820 |
+
</div>
|
| 821 |
+
""")
|
| 822 |
+
|
| 823 |
+
# Footer with additional information
|
| 824 |
+
gr.HTML("""
|
| 825 |
+
<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);">
|
| 826 |
+
<h5 style="color: var(--construction-orange); margin-bottom: 10px;">ποΈ PROFESSIONAL CONSTRUCTION AI ASSISTANT ποΈ</h5>
|
| 827 |
+
<p style="color: var(--construction-light-gray); margin: 0;">
|
| 828 |
+
<strong>Specialized in:</strong> Building Safety β’ Material Costs β’ Project Management β’ Engineering β’ Regulations β’ Equipment
|
| 829 |
+
<br>
|
| 830 |
+
<small>β‘ Powered by DeepSeek R1 via OpenRouter β’ π Enhanced with Web Search β’ π― Construction-Focused AI</small>
|
| 831 |
+
</p>
|
| 832 |
+
</div>
|
| 833 |
+
""")
|
| 834 |
+
|
| 835 |
+
return interface
|
| 836 |
+
|
| 837 |
+
# Launch the application
|
| 838 |
+
if __name__ == "__main__":
|
| 839 |
+
print("ποΈ" + "="*80)
|
| 840 |
+
print("ποΈ STARTING CONSTRUCTION COMPANY AI ASSISTANT")
|
| 841 |
+
print("ποΈ" + "="*80)
|
| 842 |
+
print("π§ AI Model: DeepSeek R1 (Advanced Reasoning)")
|
| 843 |
+
print("π API Provider: OpenRouter")
|
| 844 |
+
print("π Web Search: Serper API")
|
| 845 |
+
print(f"π‘ Search Status: {'β
ENABLED' if chatbot.search_tool else 'β DISABLED (Check API Key)'}")
|
| 846 |
+
print("π€ Agent Framework: CrewAI")
|
| 847 |
+
print("π¬ Interface: Gradio with Construction Theme")
|
| 848 |
+
print("π¨ Query Filter: Construction Topics ONLY")
|
| 849 |
+
print("π Memory: Rolling window of 5 conversations")
|
| 850 |
+
print("ποΈ" + "="*80)
|
| 851 |
+
print("π Launching interface...")
|
| 852 |
+
|
| 853 |
+
# Test web search capability
|
| 854 |
+
if chatbot.search_tool:
|
| 855 |
+
print("β
Web search tool initialized successfully!")
|
| 856 |
+
print("π‘ Users can get real-time construction data")
|
| 857 |
+
else:
|
| 858 |
+
print("β οΈ Web search disabled - check SERPER_API_KEY")
|
| 859 |
+
print("π‘ Assistant will work with knowledge base only")
|
| 860 |
+
|
| 861 |
+
print("ποΈ" + "="*80)
|
| 862 |
+
|
| 863 |
+
# Create and launch the interface
|
| 864 |
+
interface = create_interface()
|
| 865 |
+
interface.launch(
|
| 866 |
+
share=True,
|
| 867 |
+
server_name="0.0.0.0",
|
| 868 |
+
server_port=7863,
|
| 869 |
+
show_error=True,
|
| 870 |
+
debug=False,
|
| 871 |
+
favicon_path=None,
|
| 872 |
+
inbrowser=True
|
| 873 |
+
)
|