skroed
commited on
Commit
•
c2293d7
1
Parent(s):
6eb9b90
Fix: endpoint passing speaker.
Browse files- handler.py +14 -10
- requirements.txt +0 -2
handler.py
CHANGED
@@ -7,9 +7,9 @@ from transformers import AutoModel, AutoProcessor
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class EndpointHandler:
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def __init__(self, path=""):
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# load model and processor from path
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self.processor = AutoProcessor.from_pretrained(
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self.model = AutoModel.from_pretrained(
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).to("cuda")
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def __call__(self, data: Dict[str, Any]) -> Dict[str, str]:
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@@ -20,14 +20,18 @@ class EndpointHandler:
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"""
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# process input
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text = data.pop("inputs", data)
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with torch.autocast("cuda"):
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outputs = self.model.generate(**inputs)
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class EndpointHandler:
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def __init__(self, path=""):
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# load model and processor from path
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self.processor = AutoProcessor.from_pretrained("suno/bark")
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self.model = AutoModel.from_pretrained(
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"suno/bark",
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).to("cuda")
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def __call__(self, data: Dict[str, Any]) -> Dict[str, str]:
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"""
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# process input
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text = data.pop("inputs", data)
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voice_preset = data.get("voice_preset", None)
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if voice_preset:
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inputs = self.processor(
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text=[text],
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return_tensors="pt",
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voice_preset=voice_preset,
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).to("cuda")
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else:
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inputs = self.processor(
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text=[text],
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return_tensors="pt",
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).to("cuda")
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with torch.autocast("cuda"):
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outputs = self.model.generate(**inputs)
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requirements.txt
DELETED
@@ -1,2 +0,0 @@
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transformers==4.34.1
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accelerate>=0.23.0
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