#!/usr/bin/env python3
"""
Demo: AI Model Integration with MCP Audio Server
This demonstrates how an AI model would interact with the audio server
"""
import json
import sys
import os
import time
# Suppress pygame messages
os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = '1'
# Add current directory to path
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from audio_server import MCPAudioServer
class AIModelSimulator:
"""Simulates an AI model using the MCP Audio Server"""
def __init__(self):
self.audio_server = MCPAudioServer()
self.conversation_history = []
def speak(self, text, **kwargs):
"""Make the AI speak text"""
print(f"š¤ AI: {text}")
# Use the audio server to speak
result = self.audio_server.call_tool("speak_text", {
"text": text,
**kwargs
})
if result.get("success"):
print(" š Audio played successfully")
else:
print(f" ā Audio failed: {result.get('error')}")
return result
def think_and_respond(self, user_input):
"""Simulate AI thinking and responding"""
self.conversation_history.append(f"User: {user_input}")
# Simulate different types of responses
if "hello" in user_input.lower():
response = "Hello! I'm an AI assistant with audio capabilities. I can speak to you using text-to-speech!"
self.speak(response, volume=0.8, rate=150)
elif "slow" in user_input.lower():
response = "I'll speak more slowly now. This demonstrates the rate parameter control."
self.speak(response, volume=0.7, rate=100)
elif "fast" in user_input.lower():
response = "Now I'm speaking faster! This shows how we can adjust speech parameters dynamically."
self.speak(response, volume=0.8, rate=200)
elif "quiet" in user_input.lower():
response = "I'm speaking quietly now. This demonstrates volume control."
self.speak(response, volume=0.3, rate=150)
elif "loud" in user_input.lower():
response = "NOW I'M SPEAKING LOUDLY! Maximum volume demonstration."
self.speak(response, volume=1.0, rate=150)
elif "status" in user_input.lower():
status = self.audio_server.call_tool("get_audio_status", {})
if status.get("success"):
audio_status = status["status"]
response = f"Audio system status: TTS is {'available' if audio_status['tts_available'] else 'unavailable'}, Audio system is {'ready' if audio_status['pygame_available'] else 'not ready'}."
else:
response = "I couldn't check the audio system status."
self.speak(response)
elif "stop" in user_input.lower():
self.audio_server.call_tool("stop_audio", {})
response = "I've stopped any current audio playback."
print(f"š¤ AI: {response}")
elif "goodbye" in user_input.lower() or "bye" in user_input.lower():
response = "Goodbye! It was nice talking with you. This MCP Audio Server integration works great!"
self.speak(response, volume=0.8, rate=140)
return False # End conversation
else:
response = "I understand you, and I can respond with speech! Try saying 'slow', 'fast', 'quiet', 'loud', 'status', or 'goodbye'."
self.speak(response)
self.conversation_history.append(f"AI: {response}")
return True
def demo_ai_integration():
"""Demonstrate AI integration with audio capabilities"""
print("š AI Model Integration Demo")
print("=" * 50)
print("This demo shows how an AI model would use the MCP Audio Server")
print("to provide audio responses to user input.")
print()
ai = AIModelSimulator()
# Check if audio system is ready
status = ai.audio_server.call_tool("get_audio_status", {})
if not status.get("success") or not status["status"]["tts_available"]:
print("ā Audio system not available. Demo cannot continue.")
return
print("ā
Audio system ready!")
print()
print("Available commands:")
print(" ā¢ 'hello' - Greeting")
print(" ā¢ 'slow' - Slow speech")
print(" ā¢ 'fast' - Fast speech")
print(" ā¢ 'quiet' - Quiet speech")
print(" ā¢ 'loud' - Loud speech")
print(" ā¢ 'status' - Check audio status")
print(" ā¢ 'stop' - Stop current audio")
print(" ā¢ 'goodbye' - End demo")
print()
# Automated demo sequence
demo_inputs = [
"hello",
"Can you speak slowly?",
"Now speak fast please",
"Please speak quietly",
"Can you speak loudly?",
"What's your status?",
"goodbye"
]
print("š¬ Running automated demo sequence...")
print()
for i, user_input in enumerate(demo_inputs, 1):
print(f"š¤ User ({i}/{len(demo_inputs)}): {user_input}")
continue_demo = ai.think_and_respond(user_input)
if not continue_demo:
break
# Small pause between interactions
time.sleep(1)
print()
print("\nš Demo completed!")
print("\nš Conversation Summary:")
for entry in ai.conversation_history:
print(f" {entry}")
def interactive_demo():
"""Interactive demo where user can type commands"""
print("\nš® Interactive Mode")
print("=" * 30)
print("Type your messages and the AI will respond with audio!")
print("Type 'quit' to exit.")
print()
ai = AIModelSimulator()
while True:
try:
user_input = input("š¤ You: ").strip()
if user_input.lower() in ['quit', 'exit', 'q']:
print("š Goodbye!")
break
if not user_input:
continue
continue_demo = ai.think_and_respond(user_input)
if not continue_demo:
break
print()
except KeyboardInterrupt:
print("\nš Demo interrupted. Goodbye!")
break
except Exception as e:
print(f"ā Error: {e}")
if __name__ == "__main__":
try:
demo_ai_integration()
# Ask if user wants interactive mode
print("\nš¤ Would you like to try interactive mode? (y/n): ", end="")
choice = input().strip().lower()
if choice in ['y', 'yes']:
interactive_demo()
except Exception as e:
print(f"ā Demo failed: {e}")
import traceback
traceback.print_exc()
