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#!/usr/bin/env python3
"""
CPU-optimized basic usage examples for Ursa Minor Smashed model
"""
import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import torch
from inference_cpu import generate_direct, load_model_direct
def run_basic_examples():
"""Run basic CPU-optimized usage examples"""
print("🚀 Ursa Minor Smashed - CPU Basic Usage Examples")
print("=" * 60)
# Load model once for all examples
print("Loading model on CPU...")
model = load_model_direct("model_optimized.pt")
print("✅ Model loaded!\n")
examples = [
{
"name": "Creative Writing",
"prompt": "In a world where artificial intelligence has",
"params": {"max_new_tokens": 80, "temperature": 0.9, "top_k": 30} # Lower tokens for CPU
},
{
"name": "Code Generation",
"prompt": "def fibonacci(n):",
"params": {"max_new_tokens": 60, "temperature": 0.4, "top_k": 25}
},
{
"name": "Explanation",
"prompt": "Explain how neural networks work:",
"params": {"max_new_tokens": 100, "temperature": 0.7, "top_k": 30}
},
{
"name": "Story Continuation",
"prompt": "The spaceship landed on the mysterious planet, and the crew discovered",
"params": {"max_new_tokens": 90, "temperature": 0.8, "top_k": 30}
},
{
"name": "Technical Writing",
"prompt": "The benefits of using efficient algorithms include",
"params": {"max_new_tokens": 70, "temperature": 0.6, "top_k": 25}
}
]
for i, example in enumerate(examples, 1):
print(f"📝 Example {i}: {example['name']}")
print(f"💭 Prompt: {example['prompt']}")
print("🔄 Generating...")
try:
result = generate_direct(
model,
example['prompt'],
**example['params']
)
print("✨ Result:")
print("-" * 40)
print(result)
print("-" * 40)
print()
except Exception as e:
print(f"❌ Error: {e}")
print()
def run_interactive_mode():
"""Run interactive mode for testing different parameters"""
print("\n🎮 Interactive Mode")
print("=" * 30)
# Load model
print("Loading model on CPU...")
model = load_model_direct("model_optimized.pt")
print("✅ Model loaded!")
print("\nCommands:")
print("- Enter a prompt to generate text")
print("- Type 'params' to change generation parameters")
print("- Type 'quit' to exit")
print()
# Default parameters optimized for CPU
params = {
"max_new_tokens": 80, # Lower for CPU efficiency
"temperature": 0.8,
"top_k": 30, # Lower for CPU efficiency
"top_p": 0.9,
"repetition_penalty": 1.1
}
while True:
user_input = input("🎯 Prompt (or command): ").strip()
if user_input.lower() == 'quit':
print("👋 Goodbye!")
break
elif user_input.lower() == 'params':
print("\nCurrent parameters:")
for key, value in params.items():
print(f" {key}: {value}")
print("\nEnter new values (press Enter to keep current):")
for key in params:
new_value = input(f" {key} [{params[key]}]: ").strip()
if new_value:
try:
if key == "max_new_tokens" or key == "top_k":
params[key] = int(new_value)
else:
params[key] = float(new_value)
except ValueError:
print(f"Invalid value for {key}, keeping current value")
print()
continue
elif user_input == "":
continue
# Generate text
try:
print("🔄 Generating...")
result = generate_direct(model, user_input, **params)
print("✨ Result:")
print("-" * 40)
print(result)
print("-" * 40)
print()
except Exception as e:
print(f"❌ Error: {e}")
print()
def main():
"""Main function"""
print("Choose mode:")
print("1. Run basic examples")
print("2. Interactive mode")
try:
choice = input("Enter choice (1 or 2): ").strip()
if choice == "1":
run_basic_examples()
elif choice == "2":
run_interactive_mode()
else:
print("Invalid choice. Running basic examples...")
run_basic_examples()
except KeyboardInterrupt:
print("\n👋 Goodbye!")
if __name__ == "__main__":
main() |