Spaces:
Running
on
Zero
Running
on
Zero
Change to use anime-whisper
Browse files
app.py
CHANGED
@@ -16,9 +16,9 @@ is_hf = os.getenv("SYSTEM") == "spaces"
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generate_kwargs = {
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"language": "Japanese",
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"max_new_tokens": 64,
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}
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@@ -29,11 +29,7 @@ model_dict = {
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"whisper-large-v3-turbo": "openai/whisper-large-v3-turbo",
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"kotoba-whisper-v1.0": "kotoba-tech/kotoba-whisper-v1.0",
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"kotoba-whisper-v2.0": "kotoba-tech/kotoba-whisper-v2.0",
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"
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"litagin/galgame-whisper-wip"
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if is_hf
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else "../whisper_finetune/galgame-whisper"
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),
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}
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logger.info("Initializing pipelines...")
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@@ -90,20 +86,15 @@ def transcribe_kotoba_v2(audio) -> tuple[str, float]:
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return transcribe_common(audio, "kotoba-whisper-v2.0")
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def
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return transcribe_common(audio, "
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# def warmup():
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# logger.info("Warm-up...")
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# return transcribe_large_v3_turbo("test.wav")
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initial_md = """
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#
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- 音声認識モデル [kotoba-whisper-v2.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.0)
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- https://huggingface.co/litagin/
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- デモでは**音声は15秒まで**しか受け付けません
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- 日本語のみ対応 (Japanese only)
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- 現在0.1エポックくらい
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@@ -113,6 +104,9 @@ pipeに渡しているkwargsは以下の最低限のもの:
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```python
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generate_kwargs = {
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"language": "Japanese",
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"max_new_tokens": 64,
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}
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```
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@@ -123,8 +117,8 @@ with gr.Blocks() as app:
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audio = gr.Audio(type="filepath")
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with gr.Row():
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with gr.Column():
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gr.Markdown("###
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button_galgame = gr.Button("Transcribe with
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time_galgame = gr.Textbox(label="Time taken")
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output_galgame = gr.Textbox(label="Result")
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with gr.Row():
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@@ -155,8 +149,6 @@ with gr.Blocks() as app:
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time_kotoba_v2 = gr.Textbox(label="Time taken")
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output_kotoba_v2 = gr.Textbox(label="Result")
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# warmup_result = gr.Textbox(label="Warm-up result", visible=False)
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button_v2.click(transcribe_large_v2, inputs=audio, outputs=[output_v2, time_v2])
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button_v3.click(transcribe_large_v3, inputs=audio, outputs=[output_v3, time_v3])
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button_v3_turbo.click(
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@@ -171,7 +163,7 @@ with gr.Blocks() as app:
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transcribe_kotoba_v2, inputs=audio, outputs=[output_kotoba_v2, time_kotoba_v2]
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)
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button_galgame.click(
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inputs=audio,
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outputs=[output_galgame, time_galgame],
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)
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generate_kwargs = {
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"language": "Japanese",
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"do_sample": False,
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"num_beams": 1,
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"no_repeat_ngram_size": 0,
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"max_new_tokens": 64,
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}
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"whisper-large-v3-turbo": "openai/whisper-large-v3-turbo",
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"kotoba-whisper-v1.0": "kotoba-tech/kotoba-whisper-v1.0",
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"kotoba-whisper-v2.0": "kotoba-tech/kotoba-whisper-v2.0",
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"anime-whisper": "litagin/anime-whisper",
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}
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logger.info("Initializing pipelines...")
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return transcribe_common(audio, "kotoba-whisper-v2.0")
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def transcribe_anime_whisper(audio) -> tuple[str, float]:
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return transcribe_common(audio, "anime-whisper")
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initial_md = """
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# Anime-Whisper Demo
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- 音声認識モデル [kotoba-whisper-v2.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.0) をファインチューンしたモデルのお試し
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- https://huggingface.co/litagin/anime-whisper
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- デモでは**音声は15秒まで**しか受け付けません
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- 日本語のみ対応 (Japanese only)
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- 現在0.1エポックくらい
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```python
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generate_kwargs = {
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"language": "Japanese",
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"do_sample": False,
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"num_beams": 1,
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"no_repeat_ngram_size": 0,
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"max_new_tokens": 64,
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}
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```
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audio = gr.Audio(type="filepath")
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with gr.Row():
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with gr.Column():
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gr.Markdown("### Anime-Whisper")
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button_galgame = gr.Button("Transcribe with Anime-Whisper")
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time_galgame = gr.Textbox(label="Time taken")
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output_galgame = gr.Textbox(label="Result")
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with gr.Row():
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time_kotoba_v2 = gr.Textbox(label="Time taken")
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output_kotoba_v2 = gr.Textbox(label="Result")
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button_v2.click(transcribe_large_v2, inputs=audio, outputs=[output_v2, time_v2])
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button_v3.click(transcribe_large_v3, inputs=audio, outputs=[output_v3, time_v3])
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button_v3_turbo.click(
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transcribe_kotoba_v2, inputs=audio, outputs=[output_kotoba_v2, time_kotoba_v2]
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)
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button_galgame.click(
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transcribe_anime_whisper,
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inputs=audio,
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outputs=[output_galgame, time_galgame],
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)
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