添加文案处理的功能

This commit is contained in:
2024-07-13 15:44:13 +08:00
parent 669e57824d
commit c8a46d59fb
80 changed files with 7383 additions and 2613 deletions
+9 -4
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@@ -12,13 +12,13 @@ import shotSplit
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8")
# 判断sys.argv 的长度,如果小于2,说明没有传入参数,设置初始参数
# "C:\\Users\\27698\\Desktop\\LAITool\\resources\\scripts\\Lai.exe" -c "D:/来推项目集/7.4/娱乐:江湖大哥退休,去拍电影/scripts/output_crop_00001.json" "NVIDIA"
if len(sys.argv) < 2:
sys.argv = [
"C:\\Users\\27698\\Desktop\\LAITool\\resources\\scripts\\Lai.exe",
"-ka",
"C:\\Users\\27698\\Desktop\\测试\\123\\测试用 不删.mp4",
"C:\\Users\\27698\\Desktop\\测试\\123\\测试用 不删.json",
30,
"-c",
"D:/来推项目集/7.4/娱乐:江湖大哥退休,去拍电影/scripts/output_crop_00001.json",
"NVIDIA",
]
print(sys.argv)
@@ -91,3 +91,8 @@ elif sys.argv[1] == "-ka":
elif sys.argv[1] == "-a":
print("开始算法分镜:" + sys.argv[2] + " -- 输出文件夹:" + sys.argv[3])
shotSplit.init(sys.argv[2], sys.argv[3], sys.argv[4], sys.argv[5], sys.argv[6])
# 本地提取音频
elif sys.argv[1] == "-t":
print("开始提取文字:" + sys.argv[2])
shotSplit.GetTextTask(sys.argv[2], sys.argv[3], sys.argv[4])
pass
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+52
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@@ -229,6 +229,58 @@ def GetText(out_folder, mp3_list):
sys.stdout.flush()
def GetTextTask(out_folder, mp, name):
text = []
# 先获取模型
print("正在下载或加载模型")
sys.stdout.flush()
model_path = Path(
hf_hub_download(repo_id="Systran/faster-whisper-large-v3", filename="model.bin")
)
hf_hub_download(
repo_id="Systran/faster-whisper-large-v3",
filename="config.json",
)
hf_hub_download(
repo_id="Systran/faster-whisper-large-v3",
filename="preprocessor_config.json",
)
hf_hub_download(
repo_id="Systran/faster-whisper-large-v3",
filename="tokenizer.json",
)
hf_hub_download(
repo_id="Systran/faster-whisper-large-v3",
filename="vocabulary.json",
)
model = WhisperModel(
model_size_or_path=os.path.dirname(model_path),
device="auto",
local_files_only=True,
)
print("模型加载成功,开始识别")
sys.stdout.flush()
segments, info = model.transcribe(
mp,
beam_size=5,
language="zh",
vad_filter=True,
vad_parameters=dict(min_silence_duration_ms=1000),
)
tmp_text = ""
for segment in segments:
tmp_text += segment.text + ""
print(mp + "识别完成")
sys.stdout.flush()
text.append(tmp_text)
# 数据写出
sys.stdout.flush()
tools = public_tools.PublicTools()
tools.write_to_file(text, os.path.join(out_folder, name + ".txt"))
sys.stdout.flush()
def get_fram(video_path, out_path, sensitivity):
try:
shijian_list = find_scenes(video_path, sensitivity) # 多组时间列表
+26 -6
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@@ -1,8 +1,28 @@
{
"draft_path": "C:/Users/27698/AppData/Local/JianyingPro/User Data/Projects/com.lveditor.draft",
"project_path": "测试覆盖",
"project_name": "测试覆盖",
"gpt_business": "https://api.openai-hk.com/v1/chat/completions",
"gpt_key": "hk-flj65q10000101963e3c83ed48aa840c32044b4afaecc5f0",
"gpt_model": "gpt-3.5-turbo"
"draft_path": "你的剪映草稿地址",
"project_path": "你的项目文件地址(存放图片视频等数据的文件夹)",
"project_name": "你的项目名字",
"gpt_business": "b8866543-8c27-4888-869c-00aa1eb31272",
"gpt_model": "gpt-3.5-turbo",
"task_number": 1,
"translation_business": "https://fanyi-api.baidu.com/api/trans/vip/translate",
"translation_app_id": "1234",
"translation_secret": "2234",
"translation_auto": true,
"theme": "light",
"gpt_auto_inference": "storyFirst",
"webui_api_url": "你的SD地址(后面要加/",
"gpt_count": 8,
"customize_gpt_prompt": "a93b693e-bb3f-406d-9730-cba43a6585a2",
"character_select_model": "drop",
"image_generate_category": "mj",
"window_wh_bm_remember": true,
"window_wh_bm": {
"x": 1699,
"y": 230,
"width": 1936,
"height": 1048
},
"space_image": "C:\\Users\\27698\\Desktop\\LAITool\\resources\\image\\zhanwei.png",
"gpt_key": "gptkey"
}