Spaces:
Running on A100
Running on A100
Perf: upgrade gradio 5.46->5.50, tune queue/launch flags
Browse files- app.py +8 -2
- requirements.txt +1 -1
app.py
CHANGED
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@@ -84,7 +84,11 @@ class MiMoV25ASRInterface:
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return "", error_msg
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def create_interface(self):
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with gr.Blocks(
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gr.Markdown("# 🎙️ MiMo-V2.5-ASR: Robust Speech Recognition")
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gr.Markdown(
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"Upload an audio file **or** record directly from your microphone. "
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@@ -171,9 +175,11 @@ def main():
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host = os.environ.get("GRADIO_SERVER_NAME", "0.0.0.0")
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port = int(os.environ.get("GRADIO_SERVER_PORT", "7898"))
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print(f"🌐 Launch service - {host}:{port}")
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iface.queue().launch(
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server_name=host,
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server_port=port,
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)
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return "", error_msg
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def create_interface(self):
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with gr.Blocks(
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title="MiMo-V2.5-ASR Speech Recognition",
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theme=gr.themes.Soft(),
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fill_height=True,
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) as iface:
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gr.Markdown("# 🎙️ MiMo-V2.5-ASR: Robust Speech Recognition")
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gr.Markdown(
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"Upload an audio file **or** record directly from your microphone. "
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host = os.environ.get("GRADIO_SERVER_NAME", "0.0.0.0")
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port = int(os.environ.get("GRADIO_SERVER_PORT", "7898"))
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print(f"🌐 Launch service - {host}:{port}")
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iface.queue(default_concurrency_limit=4, max_size=20).launch(
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server_name=host,
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server_port=port,
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show_api=False,
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analytics_enabled=False,
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)
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requirements.txt
CHANGED
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@@ -6,6 +6,6 @@ torchaudio @ https://download.pytorch.org/whl/cu126/torchaudio-2.6.0%2Bcu126-cp3
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flash-attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.2/flash_attn-2.8.2%2Bcu12torch2.6cxx11abiTRUE-cp312-cp312-linux_x86_64.whl
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transformers==4.49.0
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triton==3.2.0
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gradio==5.
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zhon==2.1.1
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huggingface_hub>=0.26.0
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flash-attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.2/flash_attn-2.8.2%2Bcu12torch2.6cxx11abiTRUE-cp312-cp312-linux_x86_64.whl
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transformers==4.49.0
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triton==3.2.0
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gradio==5.50.0
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zhon==2.1.1
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huggingface_hub>=0.26.0
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