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CPU Upgrade
Running
on
CPU Upgrade
add Chinese dialects models
Browse files- app.py +13 -9
- saved_model/16/config.json +3 -0
- saved_model/16/model.pth +3 -0
- saved_model/17/config.json +3 -0
- saved_model/17/model.pth +3 -0
- saved_model/info.json +2 -2
app.py
CHANGED
@@ -177,6 +177,7 @@ if __name__ == '__main__':
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models_info = json.load(f)
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for i, info in models_info.items():
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name = info["title"]
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lang = info["lang"]
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example = info["example"]
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config_path = f"saved_model/{i}/config.json"
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@@ -197,12 +198,12 @@ if __name__ == '__main__':
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t = info["type"]
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if t == "vits":
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-
models_tts.append((name, cover_path, speakers, lang, example,
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hps.symbols, create_tts_fn(model, hps, speaker_ids),
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create_to_symbol_fn(hps)))
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-
models_vc.append((name, cover_path, speakers, create_vc_fn(model, hps, speaker_ids)))
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elif t == "soft-vits-vc":
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-
models_soft_vc.append((name, cover_path, speakers, create_soft_vc_fn(model, hps, speaker_ids)))
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hubert = torch.hub.load("bshall/hubert:main", "hubert_soft", trust_repo=True).to(device)
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@@ -217,14 +218,15 @@ if __name__ == '__main__':
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with gr.Tabs():
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with gr.TabItem("TTS"):
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with gr.Tabs():
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-
for i, (name, cover_path, speakers, lang, example, symbols, tts_fn,
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to_symbol_fn) in enumerate(models_tts):
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with gr.TabItem(f"model{i}"):
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with gr.Column():
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cover_markdown = f"![cover](file/{cover_path})\n\n" if cover_path else ""
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gr.Markdown(f"## {name}\n\n"
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f"{cover_markdown}"
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-
f"
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tts_input1 = gr.TextArea(label="Text (150 words limitation)", value=example,
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elem_id=f"tts-input{i}")
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tts_input2 = gr.Dropdown(label="Speaker", choices=speakers,
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@@ -271,11 +273,12 @@ if __name__ == '__main__':
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with gr.TabItem("Voice Conversion"):
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with gr.Tabs():
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-
for i, (name, cover_path, speakers, vc_fn) in enumerate(models_vc):
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with gr.TabItem(f"model{i}"):
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cover_markdown = f"![cover](file/{cover_path})\n\n" if cover_path else ""
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gr.Markdown(f"## {name}\n\n"
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-
f"{cover_markdown}"
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vc_input1 = gr.Dropdown(label="Original Speaker", choices=speakers, type="index",
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value=speakers[0])
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vc_input2 = gr.Dropdown(label="Target Speaker", choices=speakers, type="index",
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@@ -289,11 +292,12 @@ if __name__ == '__main__':
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vc_submit.click(vc_fn, [vc_input1, vc_input2, vc_input3], [vc_output1, vc_output2])
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with gr.TabItem("Soft Voice Conversion"):
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with gr.Tabs():
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-
for i, (name, cover_path, speakers, soft_vc_fn) in enumerate(models_soft_vc):
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with gr.TabItem(f"model{i}"):
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cover_markdown = f"![cover](file/{cover_path})\n\n" if cover_path else ""
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gr.Markdown(f"## {name}\n\n"
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-
f"{cover_markdown}"
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vc_input1 = gr.Dropdown(label="Target Speaker", choices=speakers, type="index",
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value=speakers[0])
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source_tabs = gr.Tabs()
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models_info = json.load(f)
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for i, info in models_info.items():
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name = info["title"]
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+
author = info["author"]
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lang = info["lang"]
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example = info["example"]
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config_path = f"saved_model/{i}/config.json"
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t = info["type"]
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if t == "vits":
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+
models_tts.append((name, author, cover_path, speakers, lang, example,
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hps.symbols, create_tts_fn(model, hps, speaker_ids),
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create_to_symbol_fn(hps)))
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+
models_vc.append((name, author, cover_path, speakers, create_vc_fn(model, hps, speaker_ids)))
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elif t == "soft-vits-vc":
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+
models_soft_vc.append((name, author, cover_path, speakers, create_soft_vc_fn(model, hps, speaker_ids)))
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hubert = torch.hub.load("bshall/hubert:main", "hubert_soft", trust_repo=True).to(device)
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with gr.Tabs():
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with gr.TabItem("TTS"):
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with gr.Tabs():
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+
for i, (name, author, cover_path, speakers, lang, example, symbols, tts_fn,
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to_symbol_fn) in enumerate(models_tts):
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with gr.TabItem(f"model{i}"):
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with gr.Column():
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cover_markdown = f"![cover](file/{cover_path})\n\n" if cover_path else ""
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gr.Markdown(f"## {name}\n\n"
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f"{cover_markdown}"
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f"model author: {author}\n\n"
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f"language: {lang}")
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tts_input1 = gr.TextArea(label="Text (150 words limitation)", value=example,
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elem_id=f"tts-input{i}")
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tts_input2 = gr.Dropdown(label="Speaker", choices=speakers,
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with gr.TabItem("Voice Conversion"):
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with gr.Tabs():
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+
for i, (name, author, cover_path, speakers, vc_fn) in enumerate(models_vc):
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with gr.TabItem(f"model{i}"):
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cover_markdown = f"![cover](file/{cover_path})\n\n" if cover_path else ""
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gr.Markdown(f"## {name}\n\n"
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f"{cover_markdown}"
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f"model author: {author}")
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vc_input1 = gr.Dropdown(label="Original Speaker", choices=speakers, type="index",
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value=speakers[0])
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vc_input2 = gr.Dropdown(label="Target Speaker", choices=speakers, type="index",
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vc_submit.click(vc_fn, [vc_input1, vc_input2, vc_input3], [vc_output1, vc_output2])
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with gr.TabItem("Soft Voice Conversion"):
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with gr.Tabs():
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for i, (name, author, cover_path, speakers, soft_vc_fn) in enumerate(models_soft_vc):
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with gr.TabItem(f"model{i}"):
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cover_markdown = f"![cover](file/{cover_path})\n\n" if cover_path else ""
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gr.Markdown(f"## {name}\n\n"
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f"{cover_markdown}"
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f"model author: {author}")
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vc_input1 = gr.Dropdown(label="Target Speaker", choices=speakers, type="index",
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value=speakers[0])
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source_tabs = gr.Tabs()
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saved_model/16/config.json
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8b975a5a4f39b989d3bf45ace6d5194b29897dbdbb17a4a6ac458fef084e838
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+
size 1211
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saved_model/16/model.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:750299355c3cd6bec4bca61ac50dbfb4c1e129be9b0806442cee24071bed657b
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size 158882637
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saved_model/17/config.json
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:099f3191034423876aa79987acbbe1308878c45859d86840311245614635da27
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size 2174
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saved_model/17/model.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:5bafc0ad64442808ccbdc1c880846d4d7ed30e5db6b9c68982bade0070e135a9
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size 158966349
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saved_model/info.json
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:8b71ff5dab7d60ce8fdbe75fa48b607574b845b4b57fa119299e1f21216d41e7
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+
size 4697
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