Datasets:
jblitzar
/
github-python-corpus

Dataset card Data Studio Files
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add_handlers(loop, atomizer.shutdown)
elif args['<userfile>']:
with open(args['<userfile>']) as userfile:
loop.run_until_complete(
atomizer.atomize(
userfile=userfile,
password=args['<password>']
)
)
elif args['--csvfile']:
with open(args['--csvfile']) as csvfile:
reader = csv.DictReader(csvfile)
loop.run_until_complete(
atomizer.atomize_csv(
csvreader=reader,
user_row_name=args['--user-row-name'],
pass_row_name=args['--pass-row-name']
)
)
elif args['--user-as-pass']:
with open(args['--user-as-pass']) as userfile:
loop.run_until_complete(atomizer.atomize_user_as_pass(userfile))
atomizer.shutdown()
# <FILESEP>
import os
import cv2
import pyaudio
import wave
import threading
from transformers import Qwen2VLForConditionalGeneration, AutoTokenizer, AutoProcessor
from qwen_vl_utils import process_vision_info
import torch
from funasr import AutoModel
import pygame
import time
import edge_tts
import asyncio
from time import sleep
# --- 播放音频 -
def play_audio(file_path):
try:
pygame.mixer.init()
pygame.mixer.music.load(file_path)
pygame.mixer.music.play()
while pygame.mixer.music.get_busy():
time.sleep(1) # 等待音频播放结束
print("播放完成！")
except Exception as e:
print(f"播放失败: {e}")
finally:
pygame.mixer.quit()
async def amain(TEXT, VOICE, OUTPUT_FILE) -> None:
"""Main function"""
communicate = edge_tts.Communicate(TEXT, VOICE)
await communicate.save(OUTPUT_FILE)
# 配置音频参数
AUDIO_FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
CHUNK = 1024
# 配置视频参数
FRAME_WIDTH = 640
FRAME_HEIGHT = 480
FRAME_RATE = 20.0
# 文件保存路径
TEMP_AUDIO_FILE = "temp_audio.wav"
TEMP_VIDEO_FILE = "temp_video.avi"
# OUTPUT_FILE = "output.mp4"
# 音频录制线程
def record_audio(stop_event):
# time.sleep(5)
audio = pyaudio.PyAudio()
stream = audio.open(format=AUDIO_FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)
frames = []
print("开始录音...")
while not stop_event.is_set():
data = stream.read(CHUNK)
frames.append(data)
print("录音结束。")
stream.stop_stream()
stream.close()
audio.terminate()
# 保存音频
with wave.open(TEMP_AUDIO_FILE, 'wb') as wf:
wf.setnchannels(CHANNELS)
wf.setsampwidth(audio.get_sample_size(AUDIO_FORMAT))