diff --git "a/app.py" "b/app.py"
--- "a/app.py"
+++ "b/app.py"
@@ -700,22 +700,29 @@ class EnhancedLLMChatbot:
self.llm_available = True
print("✅ OpenAI API key loaded from HF secrets for intelligent responses")
- async def get_challenge_context(self, query: str, limit: int = 10) -> str:
- """Get relevant challenge data for LLM context with anti-hallucination"""
+ async def get_challenge_context(self, query: str, limit: int = 20) -> str:
+ """ENHANCED: Get relevant challenge data for LLM context with smart filtering"""
try:
- # Fetch real challenges from your working MCP
- challenges = await self.mcp_engine.get_enhanced_real_challenges(limit=limit)
+ # Fetch more challenges to have better selection
+ all_challenges = await self.mcp_engine.get_enhanced_real_challenges(limit=limit)
- if not challenges:
+ if not all_challenges:
return "Using enhanced premium challenge dataset for analysis."
- # Create rich context from real data
+ # ENHANCED: Filter and prioritize challenges based on user query
+ relevant_challenges = self._filter_challenges_by_query(all_challenges, query)
+
+ # Create rich context from filtered data
context_data = {
- "total_challenges_available": f"{len(challenges)}+ analyzed",
+ "total_challenges_available": f"{len(all_challenges)}+ analyzed",
+ "query_relevant_challenges": len(relevant_challenges),
"sample_challenges": []
}
- for challenge in challenges[:5]: # Top 5 for context
+ # Prioritize relevant challenges, then add general ones
+ context_challenges = relevant_challenges[:7] + all_challenges[:3] if relevant_challenges else all_challenges[:10]
+
+ for challenge in context_challenges:
challenge_info = {
"id": challenge.id,
"title": challenge.title,
@@ -733,6 +740,67 @@ class EnhancedLLMChatbot:
except Exception as e:
return f"Challenge data temporarily unavailable: {str(e)}"
+ def _filter_challenges_by_query(self, challenges: List, query: str) -> List:
+ """Filter challenges based on user query keywords"""
+ query_lower = query.lower()
+
+ # Extract technology keywords from query
+ tech_keywords = {
+ 'python': ['python', 'django', 'flask', 'fastapi', 'tensorflow', 'pytorch'],
+ 'javascript': ['javascript', 'js', 'node', 'react', 'vue', 'angular'],
+ 'java': ['java', 'spring', 'hibernate'],
+ 'react': ['react', 'jsx', 'next.js', 'gatsby'],
+ 'angular': ['angular', 'typescript'],
+ 'vue': ['vue', 'vuejs', 'nuxt'],
+ 'node': ['node', 'nodejs', 'express'],
+ 'aws': ['aws', 'amazon', 'cloud', 'lambda', 's3'],
+ 'docker': ['docker', 'container', 'kubernetes'],
+ 'blockchain': ['blockchain', 'ethereum', 'solidity', 'web3'],
+ 'ai': ['ai', 'ml', 'machine learning', 'artificial intelligence'],
+ 'mobile': ['mobile', 'android', 'ios', 'react native', 'flutter'],
+ 'ui': ['ui', 'ux', 'design', 'figma'],
+ 'api': ['api', 'rest', 'graphql'],
+ 'database': ['database', 'sql', 'mongodb', 'postgresql']
+ }
+
+ # Find matching keywords
+ matching_keywords = []
+ for main_tech, variations in tech_keywords.items():
+ if any(keyword in query_lower for keyword in variations):
+ matching_keywords.extend(variations)
+
+ if not matching_keywords:
+ return []
+
+ # Filter challenges that match the query
+ relevant_challenges = []
+ for challenge in challenges:
+ # Check if challenge technologies match query keywords
+ challenge_techs_lower = [tech.lower() for tech in challenge.technologies]
+ challenge_title_lower = challenge.title.lower()
+ challenge_desc_lower = challenge.description.lower()
+
+ # Score relevance
+ relevance_score = 0
+
+ # Direct technology match (highest priority)
+ for keyword in matching_keywords:
+ if any(keyword in tech for tech in challenge_techs_lower):
+ relevance_score += 10
+ if keyword in challenge_title_lower:
+ relevance_score += 5
+ if keyword in challenge_desc_lower:
+ relevance_score += 2
+
+ if relevance_score > 0:
+ challenge.query_relevance = relevance_score
+ relevant_challenges.append(challenge)
+
+ # Sort by relevance score
+ relevant_challenges.sort(key=lambda x: getattr(x, 'query_relevance', 0), reverse=True)
+
+ return relevant_challenges
+
async def generate_llm_response(self, user_message: str, chat_history: List) -> str:
"""FIXED: Generate intelligent response using OpenAI API with real MCP data + anti-hallucination"""
@@ -743,34 +811,40 @@ class EnhancedLLMChatbot:
recent_history = chat_history[-4:] if len(chat_history) > 4 else chat_history
history_text = "\n".join([f"User: {h[0]}\nAssistant: {h[1]}" for h in recent_history])
- # ENHANCED: Create comprehensive prompt for LLM with anti-hallucination instructions
+ # ENHANCED: Create comprehensive prompt for LLM with smart context filtering
system_prompt = f"""You are an expert Topcoder Challenge Intelligence Assistant with REAL-TIME access to live challenge data through MCP integration.
-CRITICAL: You must ONLY reference the actual challenge data provided below. DO NOT create fake challenges, prizes, or details.
-
REAL CHALLENGE DATA CONTEXT:
{challenge_context}
+IMPORTANT CONTEXT NOTES:
+- The challenge data above has been filtered and prioritized based on the user's query
+- If query_relevant_challenges > 0, the challenges shown are specifically matched to the user's question
+- If you don't see challenges matching the user's query in the context, it may mean:
+ 1. Those challenges exist but weren't in the filtered sample
+ 2. The user should try the recommendation tool for personalized matching
+ 3. They should check Topcoder platform directly for the most complete listing
+
Your capabilities:
-- Access to live Topcoder challenges through real MCP integration
-- Advanced challenge matching algorithms with multi-factor scoring
+- Access to live Topcoder challenges through real MCP integration
+- Smart challenge filtering based on user queries
- Real-time prize information, difficulty levels, and technology requirements
- Comprehensive skill analysis and career guidance
CONVERSATION HISTORY:
{history_text}
-STRICT GUIDELINES:
-- ONLY reference challenges from the provided data context above
-- DO NOT create fictional challenge titles, prizes, or descriptions
-- If specific challenge details aren't available, say "Check Topcoder platform for details"
-- Focus on providing helpful guidance based on the real data provided
-- Keep responses concise but informative (max 300 words)
-- When discussing specific challenges, only use information from the context data
+RESPONSE GUIDELINES:
+- If challenges matching the user's query ARE in the context: Reference them specifically with details
+- If NO matching challenges in context: Acknowledge this and suggest they try the recommendation tool or check Topcoder directly
+- Always mention that this is from live MCP integration
+- If asked about highest prizes: Focus on the challenges with the largest prize amounts from the context
+- Keep responses helpful and informative (max 300 words)
+- Be honest about the limitations of the context sample while highlighting the real data access
User's current question: {user_message}
-Provide a helpful, intelligent response using ONLY the real challenge data context provided above."""
+Provide a helpful, intelligent response using the challenge data context and acknowledging any limitations."""
# FIXED: Try OpenAI API if available
if self.llm_available:
@@ -813,79 +887,4989 @@ Provide a helpful, intelligent response using ONLY the real challenge data conte
return await self.get_enhanced_fallback_response_with_context(user_message)
async def get_enhanced_fallback_response_with_context(self, user_message: str) -> str:
- """FIXED: Enhanced fallback response without hallucination"""
+ """ENHANCED: Smart fallback response with better challenge filtering"""
- # Get real challenges for context
- challenges = await self.mcp_engine.get_enhanced_real_challenges(5)
+ # Get more challenges for better filtering
+ challenges = await self.mcp_engine.get_enhanced_real_challenges(30)
- # Analyze user intent
+ # Analyze user intent with enhanced keyword detection
message_lower = user_message.lower()
- if any(keyword in message_lower for keyword in ['ai', 'machine learning', 'ml', 'artificial intelligence']):
- relevant_challenges = [c for c in challenges if any(tech.lower() in ['python', 'tensorflow', 'ai', 'ml'] for tech in c.technologies)]
+ # Enhanced technology detection
+ tech_mapping = {
+ 'python': ['python', 'django', 'flask', 'fastapi', 'tensorflow', 'pytorch', 'pandas'],
+ 'javascript': ['javascript', 'js', 'node', 'react', 'vue', 'angular'],
+ 'java': ['java', 'spring', 'hibernate'],
+ 'react': ['react', 'jsx', 'next.js', 'gatsby'],
+ 'angular': ['angular', 'typescript'],
+ 'vue': ['vue', 'vuejs', 'nuxt'],
+ 'node': ['node', 'nodejs', 'express'],
+ 'aws': ['aws', 'amazon', 'cloud', 'lambda', 's3'],
+ 'docker': ['docker', 'container', 'kubernetes'],
+ 'blockchain': ['blockchain', 'ethereum', 'solidity', 'web3', 'smart contract'],
+ 'ai': ['ai', 'ml', 'machine learning', 'artificial intelligence', 'neural'],
+ 'mobile': ['mobile', 'android', 'ios', 'react native', 'flutter'],
+ 'ui': ['ui', 'ux', 'design', 'figma'],
+ 'api': ['api', 'rest', 'graphql'],
+ 'database': ['database', 'sql', 'mongodb', 'postgresql']
+ }
+
+ # Find what technologies the user is asking about
+ detected_techs = []
+ for main_tech, keywords in tech_mapping.items():
+ if any(keyword in message_lower for keyword in keywords):
+ detected_techs.append(main_tech)
+
+ if detected_techs:
+ # Filter challenges for the detected technologies
+ relevant_challenges = []
+ for challenge in challenges:
+ challenge_techs_lower = [tech.lower() for tech in challenge.technologies]
+ challenge_title_lower = challenge.title.lower()
+ challenge_desc_lower = challenge.description.lower()
+
+ # Check for matches
+ relevance_score = 0
+ matched_techs = []
+
+ for tech in detected_techs:
+ tech_keywords = tech_mapping[tech]
+ for keyword in tech_keywords:
+ # Check in technologies array
+ if any(keyword in ct for ct in challenge_techs_lower):
+ relevance_score += 10
+ if tech not in matched_techs:
+ matched_techs.append(tech)
+ # Check in title
+ elif keyword in challenge_title_lower:
+ relevance_score += 5
+ if tech not in matched_techs:
+ matched_techs.append(tech)
+ # Check in description
+ elif keyword in challenge_desc_lower:
+ relevance_score += 2
+ if tech not in matched_techs:
+ matched_techs.append(tech)
+
+ if relevance_score > 0:
+ challenge.relevance_score = relevance_score
+ challenge.matched_techs = matched_techs
+ relevant_challenges.append(challenge)
+
+ # Sort by relevance
+ relevant_challenges.sort(key=lambda x: x.relevance_score, reverse=True)
+
if relevant_challenges:
- response = "I found some relevant challenges focusing on AI and machine learning:\n\n"
- for challenge in relevant_challenges[:3]:
- response += f"**{challenge.title}**\n"
- response += f"• Technologies: {', '.join(challenge.technologies)}\n"
- response += f"• Difficulty: {challenge.difficulty}\n"
- response += f"• Prize: {challenge.prize}\n"
- response += f"• Registrants: {challenge.registrants}\n"
+ tech_names = ", ".join(detected_techs)
+ response = f"Great! I found **{len(relevant_challenges)} challenges** involving **{tech_names}** from my live MCP data:\n\n"
+
+ # Show top 3-5 most relevant challenges
+ for i, challenge in enumerate(relevant_challenges[:5], 1):
+ response += f"**{i}. {challenge.title}**\n"
+ response += f" 💰 **Prize:** {challenge.prize}\n"
+ response += f" 🛠️ **Technologies:** {', '.join(challenge.technologies)}\n"
+ response += f" 📊 **Difficulty:** {challenge.difficulty}\n"
+ response += f" 👥 **Registrants:** {challenge.registrants}\n"
+
+ # Add link if valid ID
if challenge.id and challenge.id.startswith("301"):
- response += f"• [View Challenge](https://www.topcoder.com/challenges/{challenge.id})\n\n"
+ response += f" 🔗 **[View Details](https://www.topcoder.com/challenges/{challenge.id})**\n\n"
else:
- response += "• Available on Topcoder platform\n\n"
- return response
+ response += f" 📍 **Available on Topcoder platform**\n\n"
+
+ # Add some insights
+ if any('prize' in message_lower or 'money' in message_lower or 'pay' in message_lower for _ in [None]):
+ prizes = [int(c.prize.replace('
+
+# Initialize the enhanced intelligence engine
+print("🚀 Starting ULTIMATE Topcoder Intelligence Assistant...")
+intelligence_engine = UltimateTopcoderMCPEngine()
+
+# FIXED: Function signature - now accepts 3 parameters as expected
+async def chat_with_enhanced_llm_agent(message: str, history: List[Tuple[str, str]], mcp_engine) -> Tuple[List[Tuple[str, str]], str]:
+ """FIXED: Enhanced chat with real LLM and MCP data integration - 3 parameters"""
+ print(f"🧠 Enhanced LLM Chat: {message}")
+
+ # Initialize enhanced chatbot
+ if not hasattr(chat_with_enhanced_llm_agent, 'chatbot'):
+ chat_with_enhanced_llm_agent.chatbot = EnhancedLLMChatbot(mcp_engine)
+
+ chatbot = chat_with_enhanced_llm_agent.chatbot
+
+ try:
+ # Get intelligent response using real MCP data
+ response = await chatbot.generate_llm_response(message, history)
- elif any(keyword in message_lower for keyword in ['python', 'javascript', 'react', 'node']):
- tech_keywords = ['python', 'javascript', 'react', 'node', 'vue', 'angular']
- relevant_tech = [tech for tech in tech_keywords if tech in message_lower]
-
- if relevant_tech:
- relevant_challenges = []
- for challenge in challenges:
- for tech in relevant_tech:
- if any(tech.lower() in ct.lower() for ct in challenge.technologies):
- relevant_challenges.append(challenge)
- break
-
- if relevant_challenges:
- response = f"Found challenges involving {', '.join(relevant_tech)}:\n\n"
- for challenge in relevant_challenges[:3]:
- response += f"**{challenge.title}**\n"
- response += f"• Technologies: {', '.join(challenge.technologies)}\n"
- response += f"• Difficulty: {challenge.difficulty}\n"
- response += f"• Prize: {challenge.prize}\n"
- if challenge.id and challenge.id.startswith("301"):
- response += f"• [View Details](https://www.topcoder.com/challenges/{challenge.id})\n\n"
- else:
- response += "• Available on Topcoder platform\n\n"
- return response
+ # Add to history
+ history.append((message, response))
- # General response with real data
- if challenges:
- response = f"I have access to {len(challenges)}+ current challenges. Here are some highlights:\n\n"
- for challenge in challenges[:3]:
- response += f"**{challenge.title}**\n"
- response += f"• {', '.join(challenge.technologies)}\n"
- response += f"• {challenge.difficulty} level • {challenge.prize}\n"
- if challenge.id and challenge.id.startswith("301"):
- response += f"• [View Challenge](https://www.topcoder.com/challenges/{challenge.id})\n\n"
- else:
- response += "• Check Topcoder for details\n\n"
-
- response += "💡 Use the recommendation tool above to find challenges perfectly matched to your skills!"
- return response
+ print(f"✅ Enhanced LLM response generated with real MCP context")
+ return history, ""
+
+ except Exception as e:
+ error_response = f"I encountered an issue processing your request: {str(e)}. However, I can still help you with challenge recommendations using my real MCP data! Try asking about specific technologies or challenge types."
+ history.append((message, error_response))
+ return history, ""
+
+def chat_with_enhanced_llm_agent_sync(message: str, history: List[Tuple[str, str]]) -> Tuple[List[Tuple[str, str]], str]:
+ """FIXED: Synchronous wrapper for Gradio - calls async function with correct parameters"""
+ return asyncio.run(chat_with_enhanced_llm_agent(message, history, intelligence_engine))
+
+def format_challenge_card(challenge: Dict) -> str:
+ """FIXED: Format challenge as professional HTML card without broken links"""
+
+ # Create technology badges
+ tech_badges = " ".join([
+ f"{tech}"
+ for tech in challenge['technologies']
+ ])
+
+ # Dynamic score coloring and labels
+ score = challenge['compatibility_score']
+ if score >= 85:
+ score_color = "#00b894"
+ score_label = "🔥 Excellent Match"
+ card_border = "#00b894"
+ elif score >= 70:
+ score_color = "#f39c12"
+ score_label = "✨ Great Match"
+ card_border = "#f39c12"
+ elif score >= 55:
+ score_color = "#e17055"
+ score_label = "💡 Good Match"
+ card_border = "#e17055"
+ else:
+ score_color = "#74b9ff"
+ score_label = "🌟 Learning Opportunity"
+ card_border = "#74b9ff"
+
+ # Format prize
+ prize_display = challenge['prize']
+ if challenge['prize'].startswith('$') and challenge['prize'] != '$0':
+ prize_color = "#00b894"
+ else:
+ prize_color = "#6c757d"
+ prize_display = "Merit-based"
+
+ # FIXED: Better link handling
+ challenge_link = ""
+ if challenge['id'] and challenge['id'].startswith("301"): # Valid Topcoder ID format
+ challenge_link = f"""
+ """
+ else:
+ challenge_link = """
+
+ 💡 Available on Topcoder platform - search by title
+
"""
+
+ return f"""
+
+
+
+
+
+
+
{challenge['title']}
+
+
{score:.0f}%
+
{score_label}
+
+
+
+
{challenge['description']}
+
+
+
🛠️ Technologies & Skills:
+
{tech_badges}
+
+
+
+
💭 Why This Matches You:
+
{challenge['rationale']}
+
+
+
+
+
{prize_display}
+
Prize Pool
+
+
+
{challenge['difficulty']}
+
Difficulty
+
+
+
{challenge['time_estimate']}
+
Timeline
+
+
+
{challenge.get('registrants', 'N/A')}
+
Registered
+
+
- return """I'm here to help you find the perfect Topcoder challenges!
+ {challenge_link}
+
+
+
+
+
+
+
🎯 Your Intelligence Profile
+
+
+
+
👤 Developer Profile
+
{insights['profile_type']}
+
+
+
💪 Core Strengths
+
{insights['strengths']}
+
+
+
📈 Growth Focus
+
{insights['growth_areas']}
+
+
+
🚀 Progression Path
+
{insights['skill_progression']}
+
+
+
📊 Market Intelligence
+
{insights['market_trends']}
+
+
+
🎯 Success Forecast
+
{insights['success_probability']}
+
+
+
+
+
⚠️
+
Please enter your skills
+
Example: Python, JavaScript, React, AWS, Docker
+
+
{data_source_emoji}
+
Found {len(recommendations)} Perfect Matches!
+
Personalized using {insights_data['algorithm_version']} • {insights_data['processing_time']} response time
+
Source: {insights_data['data_source']}
+
+
🔍
+
No perfect matches found
+
Try adjusting your skills, experience level, or interests for better results
+
+
⌛
+
Processing Error
+
{str(e)}
+
Please try again or contact support
+
+
🔥 ULTIMATE Powered by OpenAI GPT-4 + Real MCP Integration
+
+ Revolutionizing developer success through authentic challenge discovery,
+ advanced AI intelligence, and secure enterprise-grade API management.
+
+
+ 🎯 Live Connection to 4,596+ Real Challenges • 🤖 OpenAI GPT-4 Integration • 🔐 Secure HF Secrets Management
+
+
+
🚀 ULTIMATE Topcoder Challenge Intelligence Assistant
+
🔥 Real MCP Integration • 🤖 OpenAI GPT-4 • ⚡ Lightning Performance
+
🎯 Built with Gradio • 🚀 Deployed on Hugging Face Spaces • 💎 Competition-Winning Quality
+
🔐 OpenAI Status: {"✅ Active" if os.getenv("OPENAI_API_KEY") else "⚠️ Configure OPENAI_API_KEY in HF Secrets"}
+
+ 💡 Available on Topcoder platform - search by title
+
"""
+
+ return f"""
+
+
+
+
+
+
+
{challenge['title']}
+
+
{score:.0f}%
+
{score_label}
+
+
+
+
{challenge['description']}
+
+
+
🛠️ Technologies & Skills:
+
{tech_badges}
+
+
+
+
💭 Why This Matches You:
+
{challenge['rationale']}
+
+
+
+
+
{prize_display}
+
Prize Pool
+
+
+
{challenge['difficulty']}
+
Difficulty
+
+
+
{challenge['time_estimate']}
+
Timeline
+
+
+
{challenge.get('registrants', 'N/A')}
+
Registered
+
+
+
+ {challenge_link}
+
+
+
+
+
+
+
🎯 Your Intelligence Profile
+
+
+
+
👤 Developer Profile
+
{insights['profile_type']}
+
+
+
💪 Core Strengths
+
{insights['strengths']}
+
+
+
📈 Growth Focus
+
{insights['growth_areas']}
+
+
+
🚀 Progression Path
+
{insights['skill_progression']}
+
+
+
📊 Market Intelligence
+
{insights['market_trends']}
+
+
+
🎯 Success Forecast
+
{insights['success_probability']}
+
+
+
+
+
⚠️
+
Please enter your skills
+
Example: Python, JavaScript, React, AWS, Docker
+
+
{data_source_emoji}
+
Found {len(recommendations)} Perfect Matches!
+
Personalized using {insights_data['algorithm_version']} • {insights_data['processing_time']} response time
+
Source: {insights_data['data_source']}
+
+
🔍
+
No perfect matches found
+
Try adjusting your skills, experience level, or interests for better results
+
+
⌛
+
Processing Error
+
{str(e)}
+
Please try again or contact support
+
+
🔥 ULTIMATE Powered by OpenAI GPT-4 + Real MCP Integration
+
+ Revolutionizing developer success through authentic challenge discovery,
+ advanced AI intelligence, and secure enterprise-grade API management.
+
+
+ 🎯 Live Connection to 4,596+ Real Challenges • 🤖 OpenAI GPT-4 Integration • 🔐 Secure HF Secrets Management
+
+
+
🚀 ULTIMATE Topcoder Challenge Intelligence Assistant
+
🔥 Real MCP Integration • 🤖 OpenAI GPT-4 • ⚡ Lightning Performance
+
🎯 Built with Gradio • 🚀 Deployed on Hugging Face Spaces • 💎 Competition-Winning Quality
+
🔐 OpenAI Status: {"✅ Active" if os.getenv("OPENAI_API_KEY") else "⚠️ Configure OPENAI_API_KEY in HF Secrets"}
+
+ 💡 Available on Topcoder platform - search by title
+
"""
+
+ return f"""
+
+
+
+
+
+
+
{challenge['title']}
+
+
{score:.0f}%
+
{score_label}
+
+
+
+
{challenge['description']}
+
+
+
🛠️ Technologies & Skills:
+
{tech_badges}
+
+
+
+
💭 Why This Matches You:
+
{challenge['rationale']}
+
+
+
+
+
{prize_display}
+
Prize Pool
+
+
+
{challenge['difficulty']}
+
Difficulty
+
+
+
{challenge['time_estimate']}
+
Timeline
+
+
+
{challenge.get('registrants', 'N/A')}
+
Registered
+
+
+
+ {challenge_link}
+
+
+
+
+
+
+
🎯 Your Intelligence Profile
+
+
+
+
👤 Developer Profile
+
{insights['profile_type']}
+
+
+
💪 Core Strengths
+
{insights['strengths']}
+
+
+
📈 Growth Focus
+
{insights['growth_areas']}
+
+
+
🚀 Progression Path
+
{insights['skill_progression']}
+
+
+
📊 Market Intelligence
+
{insights['market_trends']}
+
+
+
🎯 Success Forecast
+
{insights['success_probability']}
+
+
+
+
+
⚠️
+
Please enter your skills
+
Example: Python, JavaScript, React, AWS, Docker
+
+
{data_source_emoji}
+
Found {len(recommendations)} Perfect Matches!
+
Personalized using {insights_data['algorithm_version']} • {insights_data['processing_time']} response time
+
Source: {insights_data['data_source']}
+
+
🔍
+
No perfect matches found
+
Try adjusting your skills, experience level, or interests for better results
+
+
⌛
+
Processing Error
+
{str(e)}
+
Please try again or contact support
+
+
🔥 ULTIMATE Powered by OpenAI GPT-4 + Real MCP Integration
+
+ Revolutionizing developer success through authentic challenge discovery,
+ advanced AI intelligence, and secure enterprise-grade API management.
+
+
+ 🎯 Live Connection to 4,596+ Real Challenges • 🤖 OpenAI GPT-4 Integration • 🔐 Secure HF Secrets Management
+
+
+
🚀 ULTIMATE Topcoder Challenge Intelligence Assistant
+
🔥 Real MCP Integration • 🤖 OpenAI GPT-4 • ⚡ Lightning Performance
+
🎯 Built with Gradio • 🚀 Deployed on Hugging Face Spaces • 💎 Competition-Winning Quality
+
🔐 OpenAI Status: {"✅ Active" if os.getenv("OPENAI_API_KEY") else "⚠️ Configure OPENAI_API_KEY in HF Secrets"}
+
+ 💡 Available on Topcoder platform - search by title
+
"""
+
+ return f"""
+
+
+
+
+
+
+
{challenge['title']}
+
+
{score:.0f}%
+
{score_label}
+
+
+
+
{challenge['description']}
+
+
+
🛠️ Technologies & Skills:
+
{tech_badges}
+
+
+
+
💭 Why This Matches You:
+
{challenge['rationale']}
+
+
+
+
+
{prize_display}
+
Prize Pool
+
+
+
{challenge['difficulty']}
+
Difficulty
+
+
+
{challenge['time_estimate']}
+
Timeline
+
+
+
{challenge.get('registrants', 'N/A')}
+
Registered
+
+
+
+ {challenge_link}
+
+
+
+
+
+
+
🎯 Your Intelligence Profile
+
+
+
+
👤 Developer Profile
+
{insights['profile_type']}
+
+
+
💪 Core Strengths
+
{insights['strengths']}
+
+
+
📈 Growth Focus
+
{insights['growth_areas']}
+
+
+
🚀 Progression Path
+
{insights['skill_progression']}
+
+
+
📊 Market Intelligence
+
{insights['market_trends']}
+
+
+
🎯 Success Forecast
+
{insights['success_probability']}
+
+
+
+
+
⚠️
+
Please enter your skills
+
Example: Python, JavaScript, React, AWS, Docker
+
+
{data_source_emoji}
+
Found {len(recommendations)} Perfect Matches!
+
Personalized using {insights_data['algorithm_version']} • {insights_data['processing_time']} response time
+
Source: {insights_data['data_source']}
+
+
🔍
+
No perfect matches found
+
Try adjusting your skills, experience level, or interests for better results
+
+
⌛
+
Processing Error
+
{str(e)}
+
Please try again or contact support
+
+
🔥 ULTIMATE Powered by OpenAI GPT-4 + Real MCP Integration
+
+ Revolutionizing developer success through authentic challenge discovery,
+ advanced AI intelligence, and secure enterprise-grade API management.
+
+
+ 🎯 Live Connection to 4,596+ Real Challenges • 🤖 OpenAI GPT-4 Integration • 🔐 Secure HF Secrets Management
+
+
+
🚀 ULTIMATE Topcoder Challenge Intelligence Assistant
+
🔥 Real MCP Integration • 🤖 OpenAI GPT-4 • ⚡ Lightning Performance
+
🎯 Built with Gradio • 🚀 Deployed on Hugging Face Spaces • 💎 Competition-Winning Quality
+
🔐 OpenAI Status: {"✅ Active" if os.getenv("OPENAI_API_KEY") else "⚠️ Configure OPENAI_API_KEY in HF Secrets"}
+
+ 💡 Available on Topcoder platform - search by title
+
"""
+
+ return f"""
+
+
+
+
+
+
+
{challenge['title']}
+
+
{score:.0f}%
+
{score_label}
+
+
+
+
{challenge['description']}
+
+
+
🛠️ Technologies & Skills:
+
{tech_badges}
+
+
+
+
💭 Why This Matches You:
+
{challenge['rationale']}
+
+
+
+
+
{prize_display}
+
Prize Pool
+
+
+
{challenge['difficulty']}
+
Difficulty
+
+
+
{challenge['time_estimate']}
+
Timeline
+
+
+
{challenge.get('registrants', 'N/A')}
+
Registered
+
+
+
+ {challenge_link}
+
+
+
+
+
+
+
🎯 Your Intelligence Profile
+
+
+
+
👤 Developer Profile
+
{insights['profile_type']}
+
+
+
💪 Core Strengths
+
{insights['strengths']}
+
+
+
📈 Growth Focus
+
{insights['growth_areas']}
+
+
+
🚀 Progression Path
+
{insights['skill_progression']}
+
+
+
📊 Market Intelligence
+
{insights['market_trends']}
+
+
+
🎯 Success Forecast
+
{insights['success_probability']}
+
+
+
+
+
⚠️
+
Please enter your skills
+
Example: Python, JavaScript, React, AWS, Docker
+
+
{data_source_emoji}
+
Found {len(recommendations)} Perfect Matches!
+
Personalized using {insights_data['algorithm_version']} • {insights_data['processing_time']} response time
+
Source: {insights_data['data_source']}
+
+
🔍
+
No perfect matches found
+
Try adjusting your skills, experience level, or interests for better results
+
+
⌛
+
Processing Error
+
{str(e)}
+
Please try again or contact support
+
+
🔥 ULTIMATE Powered by OpenAI GPT-4 + Real MCP Integration
+
+ Revolutionizing developer success through authentic challenge discovery,
+ advanced AI intelligence, and secure enterprise-grade API management.
+
+
+ 🎯 Live Connection to 4,596+ Real Challenges • 🤖 OpenAI GPT-4 Integration • 🔐 Secure HF Secrets Management
+
+
+
🚀 ULTIMATE Topcoder Challenge Intelligence Assistant
+
🔥 Real MCP Integration • 🤖 OpenAI GPT-4 • ⚡ Lightning Performance
+
🎯 Built with Gradio • 🚀 Deployed on Hugging Face Spaces • 💎 Competition-Winning Quality
+
🔐 OpenAI Status: {"✅ Active" if os.getenv("OPENAI_API_KEY") else "⚠️ Configure OPENAI_API_KEY in HF Secrets"}
+
+ 💡 Available on Topcoder platform - search by title
+
"""
+
+ return f"""
+
+
+
+
+
+
+
{challenge['title']}
+
+
{score:.0f}%
+
{score_label}
+
+
+
+
{challenge['description']}
+
+
+
🛠️ Technologies & Skills:
+
{tech_badges}
+
+
+
+
💭 Why This Matches You:
+
{challenge['rationale']}
+
+
+
+
+
{prize_display}
+
Prize Pool
+
+
+
{challenge['difficulty']}
+
Difficulty
+
+
+
{challenge['time_estimate']}
+
Timeline
+
+
+
{challenge.get('registrants', 'N/A')}
+
Registered
+
+
+
+ {challenge_link}
+
+
+
+
+
+
+
🎯 Your Intelligence Profile
+
+
+
+
👤 Developer Profile
+
{insights['profile_type']}
+
+
+
💪 Core Strengths
+
{insights['strengths']}
+
+
+
📈 Growth Focus
+
{insights['growth_areas']}
+
+
+
🚀 Progression Path
+
{insights['skill_progression']}
+
+
+
📊 Market Intelligence
+
{insights['market_trends']}
+
+
+
🎯 Success Forecast
+
{insights['success_probability']}
+
+
+
+
+
⚠️
+
Please enter your skills
+
Example: Python, JavaScript, React, AWS, Docker
+
+
{data_source_emoji}
+
Found {len(recommendations)} Perfect Matches!
+
Personalized using {insights_data['algorithm_version']} • {insights_data['processing_time']} response time
+
Source: {insights_data['data_source']}
+
+
🔍
+
No perfect matches found
+
Try adjusting your skills, experience level, or interests for better results
+
+
⌛
+
Processing Error
+
{str(e)}
+
Please try again or contact support
+
+
🔥 ULTIMATE Powered by OpenAI GPT-4 + Real MCP Integration
+
+ Revolutionizing developer success through authentic challenge discovery,
+ advanced AI intelligence, and secure enterprise-grade API management.
+
+
+ 🎯 Live Connection to 4,596+ Real Challenges • 🤖 OpenAI GPT-4 Integration • 🔐 Secure HF Secrets Management
+
+
+
🚀 ULTIMATE Topcoder Challenge Intelligence Assistant
+
🔥 Real MCP Integration • 🤖 OpenAI GPT-4 • ⚡ Lightning Performance
+
🎯 Built with Gradio • 🚀 Deployed on Hugging Face Spaces • 💎 Competition-Winning Quality
+
🔐 OpenAI Status: {"✅ Active" if os.getenv("OPENAI_API_KEY") else "⚠️ Configure OPENAI_API_KEY in HF Secrets"}
+