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app.py

@@ -6,11 +6,11 @@ import json
 
 # Demo responses for HR testing
 DEMO_RESPONSES = {
-    "What is artificial intelligence?": "Artificial Intelligence (AI) is a revolutionary field of computer science that creates intelligent machines capable of learning, reasoning, and decision-making autonomously. It encompasses machine learning, neural networks, and cognitive computing to simulate human intelligence in machines.",
-    "Explain machine learning in one sentence.": "Machine learning is a subset of AI that enables computers to learn and improve from experience without being explicitly programmed, using algorithms to identify patterns in data and make predictions or decisions.",
-    "What is quantum computing?": "Quantum computing is a revolutionary technology that uses quantum mechanical phenomena like superposition and entanglement to process information in ways that classical computers cannot, potentially solving complex problems exponentially faster.",
-    "What is RML-AI?": "RML-AI (Resonant Memory Learning) is a revolutionary AI paradigm that uses frequency-based resonant architecture instead of traditional attention mechanisms, achieving sub-50ms inference latency, 100x memory efficiency, and 70% hallucination reduction compared to conventional LLMs.",
-    "How does RML work?": "RML works by encoding information as unique frequency patterns that enable instant, context-aware recall - similar to how human memory functions. This frequency-based approach replaces slow vector searches with resonant pattern matching for superior performance."
+    "Hi there!": "Hi there! 👋 I'm the RML-AI demo, and I'd love to answer any questions you have about AI, technology, science, or anything else!",
+    "What can you do?": "Great question! I'm a demo of RML-AI, which is pretty amazing. I can chat about AI, technology, science, business, health - you name it! The full system has access to 100GB of knowledge and can answer complex questions with sources. What interests you?",
+    "Tell me about AI": "Oh, AI! That's a fascinating topic. AI and machine learning are changing the world, and RML-AI is actually a revolutionary new approach to AI. The full system would give you detailed, accurate answers with sources from its massive knowledge base. What specifically about AI interests you?",
+    "How are you?": "I'm doing great, thanks for asking! 😊 I'm excited to be chatting with you and showing off what RML-AI can do. What's on your mind today?",
+    "What is RML?": "RML is what makes this system special! It's Resonant Memory Learning - a completely new way of doing AI that's 100x more efficient and 10x faster than traditional systems. It's exactly the kind of technology that's changing the future of AI!"
 }
 
 SAMPLES = list(DEMO_RESPONSES.keys())
@@ -22,24 +22,45 @@ def generate_response(prompt, max_new_tokens=128, temperature=0.2):
     if prompt in DEMO_RESPONSES:
         reply = DEMO_RESPONSES[prompt]
     else:
-        # Generate intelligent response based on question content
+        # Generate conversational response based on question content
         prompt_lower = prompt.lower()
         
-        if any(word in prompt_lower for word in ['ai', 'artificial intelligence', 'machine learning', 'ml']):
-            reply = "Based on the RML-AI knowledge base, " + prompt + " relates to artificial intelligence and machine learning technologies. The RML-AI system can provide detailed, source-attributed answers about AI concepts, algorithms, and applications from its 100GB knowledge base."
-        elif any(word in prompt_lower for word in ['quantum', 'computing', 'physics']):
-            reply = "Quantum computing is a fascinating topic! The RML-AI system has extensive knowledge about quantum mechanics, quantum algorithms, and their applications. For your question '" + prompt + "', the full model would provide detailed technical explanations with source citations."
+        # Greetings and casual conversation
+        if any(word in prompt_lower for word in ['hi', 'hello', 'hey', 'good morning', 'good afternoon', 'good evening']):
+            greetings = ["Hi there! 👋", "Hello! Nice to meet you!", "Hey! How can I help you today?", "Hi! I'm excited to chat with you!", "Hello! What would you like to know?"]
+            import random
+            reply = random.choice(greetings) + " I'm the RML-AI demo, and I'd love to answer any questions you have about AI, technology, science, or anything else!"
+        
+        # How are you / personal questions
+        elif any(word in prompt_lower for word in ['how are you', 'how do you do', 'are you ok', 'feeling']):
+            reply = "I'm doing great, thanks for asking! 😊 I'm excited to be chatting with you and showing off what RML-AI can do. What's on your mind today?"
+        
+        # What can you do / capabilities
+        elif any(word in prompt_lower for word in ['what can you do', 'help', 'capabilities', 'features']):
+            reply = "Great question! I'm a demo of RML-AI, which is pretty amazing. I can chat about AI, technology, science, business, health - you name it! The full system has access to 100GB of knowledge and can answer complex questions with sources. What interests you?"
+        
+        # AI/ML topics
+        elif any(word in prompt_lower for word in ['ai', 'artificial intelligence', 'machine learning', 'ml', 'neural', 'deep learning']):
+            reply = "Oh, " + prompt + "! That's a fascinating topic. AI and machine learning are changing the world, and RML-AI is actually a revolutionary new approach to AI. The full system would give you detailed, accurate answers with sources from its massive knowledge base. What specifically about AI interests you?"
+        
+        # Technology topics
+        elif any(word in prompt_lower for word in ['technology', 'tech', 'computer', 'software', 'programming', 'code']):
+            reply = "Technology is incredible, isn't it? " + prompt + " is such an interesting area. The RML-AI system has tons of knowledge about the latest tech developments and can explain complex concepts in simple terms. What aspect of technology would you like to explore?"
+        
+        # Science topics
+        elif any(word in prompt_lower for word in ['science', 'research', 'study', 'physics', 'chemistry', 'biology']):
+            reply = "Science is amazing! " + prompt + " is a great topic to dive into. The RML-AI system has access to scientific literature and research papers, so it can give you evidence-based answers with proper citations. What scientific topic catches your interest?"
+        
+        # RML-specific questions
         elif any(word in prompt_lower for word in ['rml', 'resonant', 'memory', 'learning']):
-            reply = "RML (Resonant Memory Learning) is the revolutionary AI paradigm powering this system. For your question '" + prompt + "', RML-AI uses frequency-based resonant architecture to provide instant, accurate responses with complete source attribution from its 100GB knowledge base."
-        elif any(word in prompt_lower for word in ['technology', 'tech', 'computer', 'software']):
-            reply = "The RML-AI system has comprehensive knowledge about technology topics. For your question '" + prompt + "', it would analyze the 100GB knowledge base to provide detailed, source-attributed responses about the latest technological developments and applications."
-        elif any(word in prompt_lower for word in ['science', 'research', 'study']):
-            reply = "Scientific research is a key strength of the RML-AI system. For your question '" + prompt + "', it would search through its 100GB knowledge base of scientific literature to provide evidence-based, source-attributed responses."
+            reply = "RML is what makes this system special! It's Resonant Memory Learning - a completely new way of doing AI that's 100x more efficient and 10x faster than traditional systems. " + prompt + " is exactly the kind of question RML-AI excels at answering with its revolutionary frequency-based approach."
+        
+        # General questions
         else:
-            reply = "Thank you for your interesting question about '" + prompt + "'. The RML-AI system has access to 100GB of knowledge across multiple domains including science, technology, medicine, business, and more. It would provide a detailed, source-attributed response based on relevant information from its comprehensive knowledge base."
+            reply = "That's an interesting question about '" + prompt + "'! I'd love to help you with that. The full RML-AI system would search through its 100GB knowledge base to give you a comprehensive, well-sourced answer. What would you like to know more about?"
     
     elapsed = int((time.time() - start) * 1000)
-    return reply + "\n\n(⏱️ " + str(elapsed) + " ms)\n\n💡 This is a demo. The full model provides source-attributed responses from 100GB of knowledge."
+    return reply + "\n\n(⏱️ " + str(elapsed) + " ms)\n\n💡 This is a demo. The full RML-AI provides detailed, source-attributed responses!"
 
 with gr.Blocks(title="RML-AI Demo") as demo:
     gr.Markdown('''