154 lines
7.3 KiB
Python
154 lines
7.3 KiB
Python
import gradio as gr
|
||
from pathlib import Path
|
||
|
||
# Подгрузка сервисов
|
||
from services.llm import Llm
|
||
from services.fasterWhisper import FasterWhisper
|
||
|
||
# Загрузка параметров конфигурации
|
||
from config import *
|
||
|
||
# Функция транскрибации
|
||
def generateByCondition(api_key, llm_model, system_prompt, recognized_text, llm_temperature, is_pipeline_enabled, trigger, isSaveFile):
|
||
llm = Llm(api_key)
|
||
|
||
# если чекбокс включен и событие было change → обрабатываем
|
||
if is_pipeline_enabled and trigger == "change":
|
||
result, md = llm.generate(llm_model, system_prompt, recognized_text, llm_temperature)
|
||
|
||
if isSaveFile:
|
||
saveFile("output.txt", result)
|
||
|
||
return result, result
|
||
|
||
# если чекбокс выключен и событие было click → обрабатываем
|
||
if not is_pipeline_enabled and trigger == "click":
|
||
result, md = llm.generate(llm_model, system_prompt, recognized_text, llm_temperature)
|
||
|
||
if isSaveFile:
|
||
saveFile("output.txt", result)
|
||
|
||
return result, md
|
||
|
||
# если нет чекбокса и было событие change
|
||
return gr.skip(), gr.skip()
|
||
|
||
|
||
# Функция сохранения файла
|
||
def saveFile(filename, text):
|
||
directory = Path(OUTPUT_PATH)
|
||
filePath = directory / filename
|
||
filePath.parent.mkdir(parents=True, exist_ok=True)
|
||
filePath.write_text(text, encoding='utf-8')
|
||
|
||
# Функция для динамического обновления кнопки в зависимости от состояния checkbox
|
||
def updateButton(isChecked):
|
||
if not isChecked:
|
||
variant = 'primary'
|
||
else:
|
||
variant = 'secondary'
|
||
|
||
return gr.update(interactive=not isChecked, variant=variant)
|
||
|
||
|
||
def updateTextbox(isChecked):
|
||
return gr.update(visible=isChecked)
|
||
|
||
|
||
# Интерфейс
|
||
with gr.Blocks() as demo:
|
||
gr.HTML('''
|
||
<div align=center>
|
||
<h1>
|
||
Faster Whisper WebUI
|
||
</h1>
|
||
</div>
|
||
''')
|
||
|
||
with gr.Row():
|
||
with gr.Column():
|
||
# Колонка в левой части экрана с основным взаимодействием
|
||
with gr.Accordion(label='Recognization'):
|
||
with gr.Column():
|
||
audioFile = gr.Audio(label='Load audio for transcribe', type="filepath")
|
||
recognizeBtn = gr.Button('recognize', variant='primary')
|
||
|
||
with gr.Accordion(label='Recognized text'):
|
||
recognizedText = gr.TextArea(label='')
|
||
|
||
# Колонка в правой части экрана с настройками
|
||
with gr.Column():
|
||
with gr.Accordion(label='Settings'):
|
||
# Первое поле на всю ширину в акордионе настроек
|
||
saveFileCheckbox = gr.Checkbox(label='save file', value=True, interactive=True)
|
||
filename = gr.Textbox(label='Output filename', value='output.txt', interactive=True)
|
||
|
||
# Акордион настроек faster whisper
|
||
with gr.Accordion(label='Faster whisper settings'):
|
||
with gr.Row():
|
||
# Левая колонка в акордионе
|
||
with gr.Column():
|
||
fastWhisperModel = gr.Dropdown(label='Model', choices=FAST_WHISPER_MODELS, value=FAST_WHISPER_MODELS[11], interactive=True)
|
||
|
||
beamSize = gr.Number(label='beam_size', value=8, interactive=True)
|
||
noSpeechThreshold = gr.Number(label='no_speech_threshold', value=0.5, interactive=True)
|
||
vadFilter = gr.Checkbox(label='vad_filter', value=True, interactive=True)
|
||
wordTimestamps = gr.Checkbox(label='word_timestamps', value=True, interactive=True)
|
||
conditionOnPreviousText = gr.Checkbox(label='condition_on_previous_text', value=False, interactive=True)
|
||
|
||
# Правая колонка в акордионе
|
||
with gr.Column():
|
||
with gr.Accordion(label='Vad parameters'):
|
||
minSilenceDurationMs = gr.Number(label='min_silence_duration_ms', value=300, interactive=True)
|
||
speechPadMs = gr.Number(label='speech_pad_ms', value=200, interactive=True)
|
||
|
||
with gr.Accordion(label='Temperature'):
|
||
temp0 = gr.Number(label='temp_0', value=0.0, interactive=True)
|
||
temp1 = gr.Number(label='temp_1', value=0.2, interactive=True)
|
||
temp2 = gr.Number(label='temp_2', value=0.4, interactive=True)
|
||
|
||
# Нижний акордион настроек для api ключа llm
|
||
with gr.Accordion(label='ai.io.net api settings'):
|
||
apiKey = gr.Textbox(label='API key', value=DEFAULT_API_KEY, interactive=True)
|
||
|
||
with gr.Accordion(label='System prompt'):
|
||
systemPrompt = gr.Textbox(label='', value=DEFAULT_SYSTEM_PROMPT, interactive=True)
|
||
|
||
with gr.Row():
|
||
llmModel = gr.Dropdown(label='models', choices=LLM_MODELS, value=LLM_MODELS[0], interactive=True)
|
||
llmTemperature = gr.Number(label='Temperature', value=0.8, interactive=True )
|
||
|
||
with gr.Column():
|
||
with gr.Accordion(label='LLM'):
|
||
isPipelineEnabledCheckbox = gr.Checkbox(label='is pipeline enabled', value=True, interactive=True)
|
||
refineTextBtn = gr.Button('refine text', variant='secondary', interactive=False)
|
||
|
||
with gr.Accordion(label='Refined text raw'):
|
||
refinedText = gr.Textbox(label='', show_copy_button=True)
|
||
|
||
with gr.Accordion(label='Refined text md formated'):
|
||
refinedTextMD = gr.Markdown(label='')
|
||
|
||
|
||
isPipelineEnabledCheckbox.change(updateButton, inputs=[isPipelineEnabledCheckbox], outputs=refineTextBtn)
|
||
saveFileCheckbox.change(updateTextbox, inputs=saveFileCheckbox, outputs=filename)
|
||
|
||
recognizeBtn.click(FasterWhisper.recognize, outputs=[recognizedText], inputs=[fastWhisperModel, audioFile, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText])
|
||
|
||
# Если пайплайн включен то тогда делаем автоматически
|
||
# автоматический пайплайн
|
||
recognizedText.change(
|
||
generateByCondition,
|
||
inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("change"), saveFileCheckbox],
|
||
outputs=[refinedText, refinedTextMD]
|
||
)
|
||
|
||
# ручной запуск по кнопке
|
||
refineTextBtn.click(
|
||
generateByCondition,
|
||
inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("click"), saveFileCheckbox],
|
||
outputs=[refinedText, refinedTextMD]
|
||
)
|
||
|
||
demo.launch()
|