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Create app.py
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app.py
ADDED
@@ -0,0 +1,340 @@
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1 |
+
from functools import lru_cache
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2 |
+
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3 |
+
import sherpa_onnx
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4 |
+
from huggingface_hub import hf_hub_download
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5 |
+
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6 |
+
|
7 |
+
def get_file(
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8 |
+
repo_id: str,
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9 |
+
filename: str,
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10 |
+
subfolder: str = ".",
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11 |
+
) -> str:
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12 |
+
model_filename = hf_hub_download(
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13 |
+
repo_id=repo_id,
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14 |
+
filename=filename,
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15 |
+
subfolder=subfolder,
|
16 |
+
)
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17 |
+
return model_filename
|
18 |
+
|
19 |
+
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20 |
+
@lru_cache(maxsize=10)
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21 |
+
def _get_vits_vctk(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
|
22 |
+
assert repo_id == "csukuangfj/vits-vctk"
|
23 |
+
|
24 |
+
model = get_file(
|
25 |
+
repo_id=repo_id,
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26 |
+
filename="vits-vctk.onnx",
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27 |
+
subfolder=".",
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28 |
+
)
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29 |
+
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30 |
+
lexicon = get_file(
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31 |
+
repo_id=repo_id,
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32 |
+
filename="lexicon.txt",
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33 |
+
subfolder=".",
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34 |
+
)
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35 |
+
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36 |
+
tokens = get_file(
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37 |
+
repo_id=repo_id,
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38 |
+
filename="tokens.txt",
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39 |
+
subfolder=".",
|
40 |
+
)
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41 |
+
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42 |
+
tts_config = sherpa_onnx.OfflineTtsConfig(
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43 |
+
model=sherpa_onnx.OfflineTtsModelConfig(
|
44 |
+
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
|
45 |
+
model=model,
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46 |
+
lexicon=lexicon,
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47 |
+
tokens=tokens,
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48 |
+
length_scale=1.0 / speed,
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49 |
+
),
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50 |
+
provider="cpu",
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51 |
+
debug=True,
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52 |
+
num_threads=2,
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53 |
+
)
|
54 |
+
)
|
55 |
+
tts = sherpa_onnx.OfflineTts(tts_config)
|
56 |
+
|
57 |
+
return tts
|
58 |
+
|
59 |
+
|
60 |
+
@lru_cache(maxsize=10)
|
61 |
+
def _get_vits_ljs(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
|
62 |
+
assert repo_id == "csukuangfj/vits-ljs"
|
63 |
+
|
64 |
+
model = get_file(
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65 |
+
repo_id=repo_id,
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66 |
+
filename="vits-ljs.onnx",
|
67 |
+
subfolder=".",
|
68 |
+
)
|
69 |
+
|
70 |
+
lexicon = get_file(
|
71 |
+
repo_id=repo_id,
|
72 |
+
filename="lexicon.txt",
|
73 |
+
subfolder=".",
|
74 |
+
)
|
75 |
+
|
76 |
+
tokens = get_file(
|
77 |
+
repo_id=repo_id,
|
78 |
+
filename="tokens.txt",
|
79 |
+
subfolder=".",
|
80 |
+
)
|
81 |
+
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82 |
+
tts_config = sherpa_onnx.OfflineTtsConfig(
|
83 |
+
model=sherpa_onnx.OfflineTtsModelConfig(
|
84 |
+
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
|
85 |
+
model=model,
|
86 |
+
lexicon=lexicon,
|
87 |
+
tokens=tokens,
|
88 |
+
length_scale=1.0 / speed,
|
89 |
+
),
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90 |
+
provider="cpu",
|
91 |
+
debug=True,
|
92 |
+
num_threads=2,
|
93 |
+
)
|
94 |
+
)
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95 |
+
tts = sherpa_onnx.OfflineTts(tts_config)
|
96 |
+
|
97 |
+
return tts
|
98 |
+
|
99 |
+
|
100 |
+
@lru_cache(maxsize=10)
|
101 |
+
def _get_vits_piper(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
|
102 |
+
data_dir = "/tmp/espeak-ng-data"
|
103 |
+
if "coqui" in repo_id or "vits-mms" in repo_id:
|
104 |
+
name = "model"
|
105 |
+
elif "piper" in repo_id:
|
106 |
+
n = len("vits-piper-")
|
107 |
+
name = repo_id.split("/")[1][n:]
|
108 |
+
elif "mimic3" in repo_id:
|
109 |
+
n = len("vits-mimic3-")
|
110 |
+
name = repo_id.split("/")[1][n:]
|
111 |
+
else:
|
112 |
+
raise ValueError(f"Unsupported {repo_id}")
|
113 |
+
|
114 |
+
if "vits-coqui-uk-mai" in repo_id or "vits-mms" in repo_id:
|
115 |
+
data_dir = ""
|
116 |
+
|
117 |
+
model = get_file(
|
118 |
+
repo_id=repo_id,
|
119 |
+
filename=f"{name}.onnx",
|
120 |
+
subfolder=".",
|
121 |
+
)
|
122 |
+
|
123 |
+
tokens = get_file(
|
124 |
+
repo_id=repo_id,
|
125 |
+
filename="tokens.txt",
|
126 |
+
subfolder=".",
|
127 |
+
)
|
128 |
+
|
129 |
+
tts_config = sherpa_onnx.OfflineTtsConfig(
|
130 |
+
model=sherpa_onnx.OfflineTtsModelConfig(
|
131 |
+
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
|
132 |
+
model=model,
|
133 |
+
lexicon="",
|
134 |
+
data_dir=data_dir,
|
135 |
+
tokens=tokens,
|
136 |
+
length_scale=1.0 / speed,
|
137 |
+
),
|
138 |
+
provider="cpu",
|
139 |
+
debug=True,
|
140 |
+
num_threads=2,
|
141 |
+
)
|
142 |
+
)
|
143 |
+
tts = sherpa_onnx.OfflineTts(tts_config)
|
144 |
+
|
145 |
+
return tts
|
146 |
+
|
147 |
+
|
148 |
+
@lru_cache(maxsize=10)
|
149 |
+
def _get_vits_mms(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
|
150 |
+
return _get_vits_piper(repo_id, speed)
|
151 |
+
|
152 |
+
|
153 |
+
@lru_cache(maxsize=10)
|
154 |
+
def _get_vits_zh_aishell3(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
|
155 |
+
assert repo_id == "csukuangfj/vits-zh-aishell3"
|
156 |
+
|
157 |
+
model = get_file(
|
158 |
+
repo_id=repo_id,
|
159 |
+
filename="vits-aishell3.onnx",
|
160 |
+
subfolder=".",
|
161 |
+
)
|
162 |
+
|
163 |
+
lexicon = get_file(
|
164 |
+
repo_id=repo_id,
|
165 |
+
filename="lexicon.txt",
|
166 |
+
subfolder=".",
|
167 |
+
)
|
168 |
+
|
169 |
+
tokens = get_file(
|
170 |
+
repo_id=repo_id,
|
171 |
+
filename="tokens.txt",
|
172 |
+
subfolder=".",
|
173 |
+
)
|
174 |
+
|
175 |
+
rule_fst = get_file(
|
176 |
+
repo_id=repo_id,
|
177 |
+
filename="rule.fst",
|
178 |
+
subfolder=".",
|
179 |
+
)
|
180 |
+
|
181 |
+
tts_config = sherpa_onnx.OfflineTtsConfig(
|
182 |
+
model=sherpa_onnx.OfflineTtsModelConfig(
|
183 |
+
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
|
184 |
+
model=model,
|
185 |
+
lexicon=lexicon,
|
186 |
+
tokens=tokens,
|
187 |
+
length_scale=1.0 / speed,
|
188 |
+
),
|
189 |
+
provider="cpu",
|
190 |
+
debug=True,
|
191 |
+
num_threads=2,
|
192 |
+
),
|
193 |
+
rule_fsts=rule_fst,
|
194 |
+
)
|
195 |
+
tts = sherpa_onnx.OfflineTts(tts_config)
|
196 |
+
|
197 |
+
return tts
|
198 |
+
|
199 |
+
|
200 |
+
@lru_cache(maxsize=10)
|
201 |
+
def _get_vits_hf(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
|
202 |
+
if "fanchen" in repo_id or "vits-cantonese-hf-xiaomaiiwn" in repo_id:
|
203 |
+
model = repo_id.split("/")[-1]
|
204 |
+
else:
|
205 |
+
model = repo_id.split("-")[-1]
|
206 |
+
|
207 |
+
model = get_file(
|
208 |
+
repo_id=repo_id,
|
209 |
+
filename=f"{model}.onnx",
|
210 |
+
subfolder=".",
|
211 |
+
)
|
212 |
+
|
213 |
+
lexicon = get_file(
|
214 |
+
repo_id=repo_id,
|
215 |
+
filename="lexicon.txt",
|
216 |
+
subfolder=".",
|
217 |
+
)
|
218 |
+
|
219 |
+
tokens = get_file(
|
220 |
+
repo_id=repo_id,
|
221 |
+
filename="tokens.txt",
|
222 |
+
subfolder=".",
|
223 |
+
)
|
224 |
+
|
225 |
+
rule_fst = get_file(
|
226 |
+
repo_id=repo_id,
|
227 |
+
filename="rule.fst",
|
228 |
+
subfolder=".",
|
229 |
+
)
|
230 |
+
|
231 |
+
tts_config = sherpa_onnx.OfflineTtsConfig(
|
232 |
+
model=sherpa_onnx.OfflineTtsModelConfig(
|
233 |
+
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
|
234 |
+
model=model,
|
235 |
+
lexicon=lexicon,
|
236 |
+
tokens=tokens,
|
237 |
+
length_scale=1.0 / speed,
|
238 |
+
),
|
239 |
+
provider="cpu",
|
240 |
+
debug=True,
|
241 |
+
num_threads=2,
|
242 |
+
),
|
243 |
+
rule_fsts=rule_fst,
|
244 |
+
)
|
245 |
+
tts = sherpa_onnx.OfflineTts(tts_config)
|
246 |
+
|
247 |
+
return tts
|
248 |
+
|
249 |
+
|
250 |
+
@lru_cache(maxsize=10)
|
251 |
+
def get_pretrained_model(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
|
252 |
+
if repo_id in english_models:
|
253 |
+
return english_models[repo_id](repo_id, speed)
|
254 |
+
elif repo_id in arabic_models:
|
255 |
+
return arabic_models[repo_id](repo_id, speed)
|
256 |
+
elif repo_id in turkish_models:
|
257 |
+
return turkish_models[repo_id](repo_id, speed)
|
258 |
+
elif repo_id in persian_models:
|
259 |
+
return persian_models[repo_id](repo_id, speed)
|
260 |
+
elif repo_id in hindi_models:
|
261 |
+
return hindi_models[repo_id](repo_id, speed)
|
262 |
+
elif repo_id in gujarati_models:
|
263 |
+
return gujarati_models[repo_id](repo_id, speed)
|
264 |
+
else:
|
265 |
+
raise ValueError(f"Unsupported repo_id: {repo_id}")
|
266 |
+
|
267 |
+
|
268 |
+
english_models = {
|
269 |
+
"csukuangfj/vits-piper-en_US-glados": _get_vits_piper,
|
270 |
+
# coqui-ai
|
271 |
+
"csukuangfj/vits-coqui-en-ljspeech": _get_vits_piper,
|
272 |
+
"csukuangfj/vits-coqui-en-ljspeech-neon": _get_vits_piper,
|
273 |
+
"csukuangfj/vits-coqui-en-vctk": _get_vits_piper,
|
274 |
+
# piper, US
|
275 |
+
"csukuangfj/vits-piper-en_GB-sweetbbak-amy": _get_vits_piper,
|
276 |
+
"csukuangfj/vits-piper-en_US-amy-low": _get_vits_piper,
|
277 |
+
"csukuangfj/vits-piper-en_US-amy-medium": _get_vits_piper,
|
278 |
+
"csukuangfj/vits-piper-en_US-arctic-medium": _get_vits_piper, # 18 speakers
|
279 |
+
"csukuangfj/vits-piper-en_US-danny-low": _get_vits_piper,
|
280 |
+
"csukuangfj/vits-piper-en_US-hfc_male-medium": _get_vits_piper,
|
281 |
+
"csukuangfj/vits-piper-en_US-joe-medium": _get_vits_piper,
|
282 |
+
"csukuangfj/vits-piper-en_US-kathleen-low": _get_vits_piper,
|
283 |
+
"csukuangfj/vits-piper-en_US-kusal-medium": _get_vits_piper,
|
284 |
+
"csukuangfj/vits-piper-en_US-l2arctic-medium": _get_vits_piper, # 24 speakers
|
285 |
+
"csukuangfj/vits-piper-en_US-lessac-low": _get_vits_piper,
|
286 |
+
"csukuangfj/vits-piper-en_US-lessac-medium": _get_vits_piper,
|
287 |
+
"csukuangfj/vits-piper-en_US-lessac-high": _get_vits_piper,
|
288 |
+
"csukuangfj/vits-piper-en_US-libritts-high": _get_vits_piper, # 904 speakers
|
289 |
+
"csukuangfj/vits-piper-en_US-libritts_r-medium": _get_vits_piper, # 904 speakers
|
290 |
+
"csukuangfj/vits-piper-en_US-ryan-low": _get_vits_piper,
|
291 |
+
"csukuangfj/vits-piper-en_US-ryan-medium": _get_vits_piper,
|
292 |
+
"csukuangfj/vits-piper-en_US-ryan-high": _get_vits_piper,
|
293 |
+
# piper, GB
|
294 |
+
"csukuangfj/vits-piper-en_GB-alan-low": _get_vits_piper,
|
295 |
+
"csukuangfj/vits-piper-en_GB-alan-medium": _get_vits_piper,
|
296 |
+
"csukuangfj/vits-piper-en_GB-alba-medium": _get_vits_piper,
|
297 |
+
"csukuangfj/vits-piper-en_GB-jenny_dioco-medium": _get_vits_piper,
|
298 |
+
"csukuangfj/vits-piper-en_GB-northern_english_male-medium": _get_vits_piper,
|
299 |
+
"csukuangfj/vits-piper-en_GB-semaine-medium": _get_vits_piper,
|
300 |
+
"csukuangfj/vits-piper-en_GB-southern_english_female-low": _get_vits_piper,
|
301 |
+
"csukuangfj/vits-piper-en_GB-vctk-medium": _get_vits_piper,
|
302 |
+
#
|
303 |
+
"csukuangfj/vits-vctk": _get_vits_vctk, # 109 speakers
|
304 |
+
"csukuangfj/vits-ljs": _get_vits_ljs,
|
305 |
+
}
|
306 |
+
|
307 |
+
|
308 |
+
arabic_models = {
|
309 |
+
"csukuangfj/vits-piper-ar_JO-kareem-low": _get_vits_piper,
|
310 |
+
"csukuangfj/vits-piper-ar_JO-kareem-medium": _get_vits_piper,
|
311 |
+
}
|
312 |
+
|
313 |
+
turkish_models = {
|
314 |
+
"csukuangfj/vits-piper-tr_TR-dfki-medium": _get_vits_piper,
|
315 |
+
"csukuangfj/vits-piper-tr_TR-fahrettin-medium": _get_vits_piper,
|
316 |
+
}
|
317 |
+
|
318 |
+
|
319 |
+
persian_models = {
|
320 |
+
"csukuangfj/vits-piper-fa_IR-amir-medium": _get_vits_piper,
|
321 |
+
"csukuangfj/vits-piper-fa_IR-gyro-medium": _get_vits_piper,
|
322 |
+
"csukuangfj/vits-mimic3-fa-haaniye_low": _get_vits_piper,
|
323 |
+
}
|
324 |
+
|
325 |
+
gujarati_models = {
|
326 |
+
"csukuangfj/vits-mimic3-gu_IN-cmu-indic_low": _get_vits_piper,
|
327 |
+
}
|
328 |
+
hindi_models = {
|
329 |
+
"vosk-model-hi-0.22": _get_vits_piper,
|
330 |
+
}
|
331 |
+
|
332 |
+
|
333 |
+
language_to_models = {
|
334 |
+
"English": list(english_models.keys()),
|
335 |
+
"Arabic": list(arabic_models.keys()),
|
336 |
+
"Hindi": list(hindi_models.keys()),
|
337 |
+
"Gujarati": list(gujarati_models.keys()),
|
338 |
+
"Persian": list(persian_models.keys()),
|
339 |
+
"Turkish": list(turkish_models.keys()),
|
340 |
+
}
|