Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
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@@ -6,117 +6,38 @@ import torch
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# 支持的语言选项
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LANGUAGES = {
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"Auto Detect": "auto",
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"English": "
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"Chinese": "
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"Cantonese": "Cantonese",
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"Czech": "Czech",
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"Greek": "Greek",
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"Swedish": "Swedish",
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"Hungarian": "Hungarian",
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"Danish": "Danish",
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"Finnish": "Finnish",
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"Ukrainian": "Ukrainian",
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"Bulgarian": "Bulgarian",
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"Serbian": "Serbian",
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"Telugu": "Telugu",
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"Afrikaans": "Afrikaans",
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"Armenian": "Armenian",
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"Assamese": "Assamese",
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"Asturian": "Asturian",
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"Basque": "Basque",
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"Belarusian": "Belarusian",
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"Bosnian": "Bosnian",
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"Catalan": "Catalan",
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"Cebuano": "Cebuano",
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"Croatian": "Croatian",
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"Egyptian Arabic": "Egyptian Arabic",
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"Estonian": "Estonian",
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"Galician": "Galician",
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"Georgian": "Georgian",
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"Gujarati": "Gujarati",
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"Icelandic": "Icelandic",
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"Javanese": "Javanese",
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"Kannada": "Kannada",
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"Kazakh": "Kazakh",
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"Latvian": "Latvian",
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"Lithuanian": "Lithuanian",
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"Luxembourgish": "Luxembourgish",
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"Macedonian": "Macedonian",
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"Maithili": "Maithili",
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"Maltese": "Maltese",
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"Marathi": "Marathi",
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"Mesopotamian Arabic": "Mesopotamian Arabic",
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"Moroccan Arabic": "Moroccan Arabic",
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"Najdi Arabic": "Najdi Arabic",
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"Nepali": "Nepali",
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"North Azerbaijani": "North Azerbaijani",
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"North Levantine Arabic": "North Levantine Arabic",
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"Northern Uzbek": "Northern Uzbek",
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"Norwegian Bokmål": "Norwegian Bokmål",
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"Norwegian Nynorsk": "Norwegian Nynorsk",
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"Occitan": "Occitan",
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"Odia": "Odia",
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"Pangasinan": "Pangasinan",
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"Sicilian": "Sicilian",
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"Sindhi": "Sindhi",
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"Sinhala": "Sinhala",
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"Slovak": "Slovak",
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"Slovenian": "Slovenian",
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"South Levantine Arabic": "South Levantine Arabic",
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"Swahili": "Swahili",
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"Tagalog": "Tagalog",
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"Ta’izzi-Adeni Arabic": "Ta’izzi-Adeni Arabic",
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"Tosk Albanian": "Tosk Albanian",
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"Tunisian Arabic": "Tunisian Arabic",
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"Venetian": "Venetian",
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"Waray": "Waray",
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"Welsh": "Welsh",
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"Western Persian": "Western Persian"
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}
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# from huggingface_hub import snapshot_download
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# save_dir = "./model_weights"
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# repo_id = "ByteDance-Seed/Seed-X-PPO-7B"
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# cache_dir = save_dir + "/cache"
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# snapshot_download(
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# cache_dir=cache_dir,
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# local_dir=save_dir,
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# repo_id=repo_id,
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# local_dir_use_symlinks=False,
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# resume_download=True,
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# allow_patterns=["*.json", "*.safetensors", "*.bin", "*.py", "*.md", "*.txt"],
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# )
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device = "cuda"
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MODEL_NAME = "ByteDance-Seed/Seed-X-PPO-7B"
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print("Start dowload")
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@@ -130,6 +51,9 @@ print("Ednd dowload")
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# Loading the tokenizer once, because re-loading it takes about 1.5 seconds each time
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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@spaces.GPU(duration=120)
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def translate_text(text, source_lang, target_lang):
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@@ -137,7 +61,7 @@ def translate_text(text, source_lang, target_lang):
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return "请输入要翻译的文本"
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try:
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input_tokens = (
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tokenizer(text, return_tensors="pt")
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.input_ids[0]
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.cpu()
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.numpy()
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@@ -150,6 +74,7 @@ def translate_text(text, source_lang, target_lang):
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num_return_sequences=1,
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)
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full_output = tokenizer.decode(translated_chunk[0], skip_special_tokens=True)
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yield full_output
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except Exception as e:
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yield f"翻译出错: {str(e)}"
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# 支持的语言选项
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LANGUAGES = {
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"Auto Detect": "auto",
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"English": "en",
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"Chinese": "zh",
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"Russian": "ru",
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"Japanese": "ka",
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"Korean": "ko",
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"Spanish": "es",
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"French": "fr",
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"Portuguese": "pt",
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"German": "de",
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"Italian": "it",
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"Thai": "th",
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"Vietnamese": "vi",
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"Indonesian": "id",
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"Malay": "ms",
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"Arabic": "ar",
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"Polish": "pl",
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"Dutch": "nl",
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"Romanian": "ro",
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"Turkish": "tr",
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"Czech": "cs",
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"Danish": "da",
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"Finnish": "fi",
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"Ukrainian": "uk",
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"Norwegian Bokmal":"nb",
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"Norwegian":"no",
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"Croatian":"hr",
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"Swedish":"sv",
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"Hungarian":"hu"
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}
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = "cuda"
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MODEL_NAME = "ByteDance-Seed/Seed-X-PPO-7B"
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print("Start dowload")
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# Loading the tokenizer once, because re-loading it takes about 1.5 seconds each time
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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def prompting(text, source_lang, target_lang):
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l = LANGUAGES[target_lang]
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prompt=f"Translate the following {source_lang} sentence into {target_lang} and explain it in detail:\n{text} <{l}>"
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@spaces.GPU(duration=120)
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def translate_text(text, source_lang, target_lang):
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return "请输入要翻译的文本"
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try:
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input_tokens = (
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tokenizer(text.strip(), return_tensors="pt")
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.input_ids[0]
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.cpu()
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.numpy()
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num_return_sequences=1,
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)
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full_output = tokenizer.decode(translated_chunk[0], skip_special_tokens=True)
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full_output = full_output.replace(text.strip(),"")
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yield full_output
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except Exception as e:
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yield f"翻译出错: {str(e)}"
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