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import os
import gradio as gr
from api.audio import STTManager, TTSManager
from api.llm import LLMManager
from utils.config import Config
from resources.prompts import prompts
from ui.coding import get_problem_solving_ui
from ui.instructions import get_instructions_ui
from utils.params import default_audio_params
def initialize_services():
"""
Initialize configuration, LLM, TTS, and STT services.
Returns:
tuple: Containing Config, LLMManager, TTSManager, and STTManager instances.
"""
config = Config()
llm = LLMManager(config, prompts)
tts = TTSManager(config)
stt = STTManager(config)
# Update default audio parameters with STT streaming setting
default_audio_params["streaming"] = stt.streaming
# Disable TTS in silent mode
if os.getenv("SILENT", False):
tts.read_last_message = lambda x: None
return config, llm, tts, stt
def create_interface(llm, tts, stt, audio_params):
"""
Create and configure the Gradio interface.
Args:
llm (LLMManager): Language model manager instance.
tts (TTSManager): Text-to-speech manager instance.
stt (STTManager): Speech-to-text manager instance.
audio_params (dict): Audio parameters for the interface.
Returns:
gr.Blocks: Configured Gradio interface.
"""
with gr.Blocks(title="AI Interviewer", theme=gr.themes.Default()) as demo:
# Create audio output component (visible only in debug mode)
audio_output = gr.Audio(label="Play audio", autoplay=True, visible=os.environ.get("DEBUG", False), streaming=tts.streaming)
# Render problem-solving and instructions UI components
get_problem_solving_ui(llm, tts, stt, audio_params, audio_output).render()
get_instructions_ui(llm, tts, stt, audio_params).render()
return demo
def main():
"""
Main function to initialize services and launch the Gradio interface.
"""
config, llm, tts, stt = initialize_services()
demo = create_interface(llm, tts, stt, default_audio_params)
# Launch the Gradio interface
demo.launch(show_api=False)
if __name__ == "__main__":
main()
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