add function to disable save file

Features:
   1. Checkbox to disable save file
This commit is contained in:
swrneko
2025-09-08 20:02:44 +03:00
parent d54ba46796
commit 528704ab78

29
app.py
View File

@@ -2,6 +2,7 @@ import gradio as gr
from faster_whisper import WhisperModel
from pathlib import Path
from dotenv import load_dotenv
from typing import Optional
import os
from services.llm import Llm
@@ -47,7 +48,6 @@ Use only russian language!
faster_whisper_models_list = ['tiny', 'base', 'small', 'medium', 'large-v1', 'large-v2', 'large-v3', 'large', 'distil-large-v2', 'distil-large-v3', 'distil-large-v3.5', 'large-v3-turbo', 'turbo']
llm_models_list = ['openai/gpt-oss-120b', 'Qwen/Qwen3-235B-A22B-Thinking-2507', 'deepseek-ai/DeepSeek-R1-0528', 'meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8', 'openai/gpt-oss-20b', 'Intel/Qwen3-Coder-480B-A35B-Instruct-int4-mixed-ar', 'meta-llama/Llama-3.2-90B-Vision-Instruct', 'mistralai/Mistral-Nemo-Instruct-2407', 'Qwen/Qwen2.5-VL-32B-Instruct', 'meta-llama/Llama-3.3-70B-Instruct', 'mistralai/Devstral-Small-2505', 'mistralai/Magistral-Small-2506', 'mistralai/Mistral-Large-Instruct-2411', 'CohereForAI/aya-expanse-32b']
is_pipeline_enabled = True
# Функция транскрибации
def recognize(model, audioFile, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText):
@@ -74,19 +74,25 @@ def recognize(model, audioFile, beamSize, vadFilter, minSilenceDurationMs, speec
return(text)
def generateByCondition(api_key, llm_model, system_prompt, recognized_text, llm_temperature, is_pipeline_enabled, trigger):
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)
saveFile("output.txt", result)
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)
saveFile("output.txt", result)
if isSaveFile:
saveFile("output.txt", result)
return result, md
# если нет чекбокса и было событие change
@@ -113,8 +119,15 @@ def updateButton(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('''
@@ -140,6 +153,7 @@ with gr.Blocks() as demo:
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
@@ -189,7 +203,8 @@ with gr.Blocks() as demo:
refinedTextMD = gr.Markdown(label='')
isPipelineEnabledCheckbox.change(updateButton, inputs=isPipelineEnabledCheckbox, outputs=refineTextBtn)
isPipelineEnabledCheckbox.change(updateButton, inputs=[isPipelineEnabledCheckbox], outputs=refineTextBtn)
saveFileCheckbox.change(updateTextbox, inputs=saveFileCheckbox, outputs=filename)
recognizeBtn.click(recognize, outputs=[recognizedText], inputs=[fastWhisperModel, audioFile, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText])
@@ -197,14 +212,14 @@ with gr.Blocks() as demo:
# автоматический пайплайн
recognizedText.change(
generateByCondition,
inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("change")],
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")],
inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("click"), saveFileCheckbox],
outputs=[refinedText, refinedTextMD]
)