Spaces:
Sleeping
Sleeping
AlimOmar commited on
Commit ·
883d9c7
1
Parent(s): 5006f55
change to ug
Browse files
app.py
CHANGED
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@@ -6,6 +6,8 @@ from fastapi.middleware.cors import CORSMiddleware
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import io
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import soundfile as sf
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from pydantic import BaseModel
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app = FastAPI()
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@@ -19,6 +21,68 @@ app.add_middleware(
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allow_headers=["*"],
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)
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model = VitsModel.from_pretrained("facebook/mms-tts-uig-script_arabic")
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tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-uig-script_arabic")
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@@ -36,7 +100,7 @@ curl -X POST https://piyazon-tts-piyazon.hf.space/generate-tts \
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async def generate_tts(input: TextInput):
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try:
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# Tokenize input text
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-
inputs = tokenizer(input.text, return_tensors="pt")
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# Generate waveform
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with torch.no_grad():
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import io
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import soundfile as sf
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from pydantic import BaseModel
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import string
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import unicodedata
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app = FastAPI()
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allow_headers=["*"],
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)
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def fix_string(batch):
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batch = batch.lower()
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batch = unicodedata.normalize('NFKC', batch)
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## replace ug chars
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# Replace 'ژ' with 'ج'
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batch = batch.replace('ژ', 'ج')
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batch = batch.replace('ک', 'ك')
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batch = batch.replace('ی', 'ى')
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# batch = batch.replace('ه', 'ە')
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batch = batch.replace('ه', 'ە')
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## replace nums
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numbers_to_uyghur_map = {
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'0': ' نۆل ',
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'1': ' بىر ',
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'2': ' ئىككى ',
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'3': ' ئۈچ ',
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'4': ' تۆت ',
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'5': ' بەش ',
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'6': ' ئالتە ',
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'7': ' يەتتە ',
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'8': ' سەككىز ',
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'9': ' توققۇز '
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}
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for num_char, uyghur_char in numbers_to_uyghur_map.items():
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batch = batch.replace(num_char, uyghur_char)
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## replace en chars
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english_to_uyghur_map = {
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'a': ' ئېي ',
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'b': ' بى ',
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'c': ' سى ',
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'd': ' دى ',
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'e': ' ئى ',
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'f': ' ئەف ',
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'g': ' جى ',
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'h': ' ئېچ ',
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'i': ' ئاي ',
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'j': ' جېي ',
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'k': ' کېي ',
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'l': ' ئەل ',
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'm': ' ئەم ',
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'n': ' ئېن ',
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'o': ' ئو ',
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'p': ' پى ',
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'q': ' كىيۇ ',
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'r': ' ئار ',
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's': ' ئەس ',
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't': ' تى ',
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'u': ' يۇ ',
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'v': ' ۋى ',
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'w': ' دابىلىيۇ ',
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'x': ' ئېكىس ',
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'y': ' ۋاي ',
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'z': ' زى ',
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}
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for eng_char, uyghur_char in english_to_uyghur_map.items():
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batch = batch.replace(eng_char, uyghur_char)
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# batch = batch.replace('e', ' ئې ')
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# Optional: Collapse multiple spaces into one
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batch = ' '.join(batch.split())
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return batch
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model = VitsModel.from_pretrained("facebook/mms-tts-uig-script_arabic")
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tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-uig-script_arabic")
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async def generate_tts(input: TextInput):
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try:
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# Tokenize input text
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inputs = tokenizer(fix_string(input.text), return_tensors="pt")
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# Generate waveform
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with torch.no_grad():
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