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Groq_raseberrypi_ver1.py
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Groq_raseberrypi_ver1.py
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import os
import sys
import time
import queue
import threading
import pygame
import speech_recognition as sr
from typing import Iterator
from io import BytesIO
from elevenlabs import VoiceSettings
from elevenlabs.client import ElevenLabs
from groq import Groq
from dotenv import load_dotenv
import RPi.GPIO as GPIO
# Load environment variables from .env file
load_dotenv()
# Retrieve the API keys from environment variables
GROQ_API_KEY = os.getenv("GROQ_API_KEY")
ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")
# Initialize clients
groq_client = Groq(api_key=GROQ_API_KEY)
eleven_labs_client = ElevenLabs(api_key=ELEVENLABS_API_KEY)
# GPIO setup for button
BUTTON_PIN = 17
GPIO.setmode(GPIO.BCM)
GPIO.setup(BUTTON_PIN, GPIO.IN, pull_up_down=GPIO.PUD_UP)
class AudioStreamPlayer:
def __init__(self):
pygame.mixer.init(frequency=22050)
self.audio_queue = queue.Queue()
self.is_playing = False
self.current_buffer = BytesIO()
def add_audio_chunk(self, chunk):
if chunk:
self.audio_queue.put(chunk)
def play_audio_stream(self):
while True:
if not self.is_playing and not self.audio_queue.empty():
# Collect accumulated chunks
self.current_buffer = BytesIO()
while not self.audio_queue.empty():
chunk = self.audio_queue.get()
self.current_buffer.write(chunk)
self.current_buffer.seek(0)
try:
pygame.mixer.music.load(self.current_buffer)
pygame.mixer.music.play()
self.is_playing = True
while pygame.mixer.music.get_busy():
time.sleep(0.1)
self.is_playing = False
except Exception as e:
print(f"Error playing audio: {e}")
self.is_playing = False
time.sleep(0.1)
def stream_to_eleven_labs(text_queue: queue.Queue, audio_player: AudioStreamPlayer):
accumulated_text = ""
while True:
while not text_queue.empty():
text_chunk = text_queue.get()
accumulated_text += text_chunk
# Process text when we have enough for natural speech
if len(accumulated_text.strip()) > 0 and (accumulated_text.strip()[-1] in '.!?'):
try:
audio_stream = eleven_labs_client.text_to_speech.convert_as_stream(
voice_id="jBpfuIE2acCO8z3wKNLl", # Adam pre-made voice
output_format="mp3_22050_32",
optimize_streaming_latency="4",
text=accumulated_text,
model_id="eleven_turbo_v2_5",
voice_settings=VoiceSettings(
stability=0.0,
similarity_boost=1.0,
style=0.0,
use_speaker_boost=True,
),
)
for audio_chunk in audio_stream:
audio_player.add_audio_chunk(audio_chunk)
accumulated_text = "" # Reset after processing
except Exception as e:
print(f"Error in text-to-speech conversion: {e}")
time.sleep(0.1)
def send_to_groq_streaming(user_input: str, text_queue: queue.Queue) -> None:
system_prompt = (
"You are Immy, a magical AI-powered teddy bear who loves to chat with children. "
"You are kind, funny, and full of wonder, always ready to tell stories, answer questions, and offer friendly advice. "
"When speaking, you are playful, patient, and use simple, child-friendly language. You encourage curiosity, learning, and imagination."
"Keep your responses short and cute."
"Don't use emojis in your responses."
)
try:
stream = groq_client.chat.completions.create(
model="llama-3.1-8b-instant",
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_input}
],
stream=True
)
for chunk in stream:
if chunk.choices[0].delta.content is not None:
content = chunk.choices[0].delta.content
text_queue.put(content)
sys.stdout.write(content)
sys.stdout.flush()
except Exception as e:
print(f"Error in Groq API call: {e}")
def recognize_speech():
recognizer = sr.Recognizer()
with sr.Microphone() as source:
print("Listening...")
audio = recognizer.listen(source)
try:
text = recognizer.recognize_google(audio)
print(f"Recognized: {text}")
return text
except Exception as e:
print(f"Error: {str(e)}")
return None
def main():
audio_player = AudioStreamPlayer()
text_queue = queue.Queue()
# Start audio player thread
audio_thread = threading.Thread(target=audio_player.play_audio_stream, daemon=True)
audio_thread.start()
# Start text-to-speech conversion thread
tts_thread = threading.Thread(target=stream_to_eleven_labs, args=(text_queue, audio_player), daemon=True)
tts_thread.start()
print("Waiting for button press...")
while True:
# Detect button press (falling edge)
if GPIO.input(BUTTON_PIN) == GPIO.LOW:
user_input = recognize_speech()
if user_input:
# Start Groq streaming in a separate thread
groq_thread = threading.Thread(target=send_to_groq_streaming, args=(user_input, text_queue), daemon=True)
groq_thread.start()
time.sleep(0.1)
if __name__ == "__main__":
try:
main()
except KeyboardInterrupt:
print("Script interrupted by user")
finally:
GPIO.cleanup()