-
Notifications
You must be signed in to change notification settings - Fork 1
/
Groq.py
188 lines (162 loc) · 6.41 KB
/
Groq.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
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 tkinter as tk
from tkinter import messagebox
# 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)
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"
"Dont 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
class ConversationApp:
def __init__(self):
self.window = tk.Tk()
self.window.title("Interactive Conversation System")
self.text_queue = queue.Queue()
self.audio_player = AudioStreamPlayer()
# Start audio player thread
self.audio_thread = threading.Thread(
target=self.audio_player.play_audio_stream,
daemon=True
)
self.audio_thread.start()
# Start text-to-speech conversion thread
self.tts_thread = threading.Thread(
target=stream_to_eleven_labs,
args=(self.text_queue, self.audio_player),
daemon=True
)
self.tts_thread.start()
# Create UI
self.setup_ui()
def setup_ui(self):
self.record_button = tk.Button(
self.window,
text="Start Recording",
command=self.start_recording,
padx=20,
pady=10
)
self.record_button.pack(pady=20)
def start_recording(self):
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, self.text_queue),
daemon=True
)
groq_thread.start()
def run(self):
self.window.mainloop()
if __name__ == "__main__":
app = ConversationApp()
app.run()