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example_usage.py

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+#!/usr/bin/env python3
+"""
+Example Usage - Brello EI 0
+Created by Epic Systems | Engineered by Rehan Temkar
+
+Demonstrates how to use Brello EI 0 for emotionally intelligent conversations.
+"""
+
+from brello_ei_0 import BrelloEI0, load_brello_ei_0
+
+def main():
+    """Example usage of Brello EI 0"""
+    
+    print("🤖 Brello EI 0 - Emotional Intelligence AI")
+    print("Created by Epic Systems | Engineered by Rehan Temkar")
+    print("=" * 50)
+    
+    # Initialize the model
+    print("📥 Loading Brello EI 0 model...")
+    
+    try:
+        # Load the model with standard loading
+        model = BrelloEI0(
+            model_path="microsoft/DialoGPT-medium",
+            load_in_4bit=False
+        )
+        
+        print("✅ Model loaded successfully!")
+        
+        # Example conversations demonstrating emotional intelligence
+        conversations = [
+            "I'm feeling really anxious about my presentation tomorrow.",
+            "I just got some great news and I'm so excited!",
+            "I'm feeling overwhelmed with all my work lately.",
+            "I'm really grateful for my friends and family.",
+            "I'm not sure what I want to do with my career."
+        ]
+        
+        print("\n💬 Example Emotional Intelligence Responses:")
+        print("-" * 50)
+        
+        for i, message in enumerate(conversations, 1):
+            print(f"\n{i}. User: {message}")
+            response = model.generate_response(message)
+            print(f"Brello EI 0: {response}")
+            print("-" * 30)
+        
+        # Interactive chat
+        print("\n💭 Interactive Chat Mode")
+        print("Type 'quit' to exit")
+        print("-" * 30)
+        
+        while True:
+            user_input = input("\nYou: ").strip()
+            
+            if user_input.lower() in ['quit', 'exit', 'bye']:
+                print("Brello EI 0: It's been wonderful talking with you! Take care and remember that your feelings matter. 💙")
+                break
+            
+            if user_input:
+                response = model.chat(user_input)
+                print(f"Brello EI 0: {response}")
+        
+    except Exception as e:
+        print(f"❌ Error loading model: {e}")
+        print("💡 Make sure you have the required dependencies installed:")
+        print("pip install -r requirements.txt")
+        print("\n💡 You may need to accept the model license on Hugging Face:")
+        print("Visit: https://huggingface.co/meta-llama/Meta-Llama-3.2-3B-Instruct")
+
+if __name__ == "__main__":
+    main()