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Merge pull request #217 from jhj0517/feature/use-factory-pattern
Browse files- app.py +7 -35
- modules/whisper/whisper_factory.py +60 -0
app.py
CHANGED
@@ -2,7 +2,7 @@ import os
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import argparse
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import gradio as gr
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from modules.whisper.
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from modules.whisper.faster_whisper_inference import FasterWhisperInference
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from modules.whisper.insanely_fast_whisper_inference import InsanelyFastWhisperInference
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from modules.translation.nllb_inference import NLLBInference
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@@ -16,7 +16,12 @@ class App:
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def __init__(self, args):
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self.args = args
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self.app = gr.Blocks(css=CSS, theme=self.args.theme)
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self.whisper_inf =
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print(f"Use \"{self.args.whisper_type}\" implementation")
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print(f"Device \"{self.whisper_inf.device}\" is detected")
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self.nllb_inf = NLLBInference(
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@@ -27,39 +32,6 @@ class App:
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output_dir=os.path.join(self.args.output_dir, "translations")
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)
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def init_whisper(self):
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# Temporal fix of the issue : https://github.com/jhj0517/Whisper-WebUI/issues/144
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os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
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whisper_type = self.args.whisper_type.lower().strip()
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if whisper_type in ["faster_whisper", "faster-whisper", "fasterwhisper"]:
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whisper_inf = FasterWhisperInference(
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model_dir=self.args.faster_whisper_model_dir,
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output_dir=self.args.output_dir,
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args=self.args
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)
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elif whisper_type in ["whisper"]:
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whisper_inf = WhisperInference(
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model_dir=self.args.whisper_model_dir,
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output_dir=self.args.output_dir,
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args=self.args
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)
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elif whisper_type in ["insanely_fast_whisper", "insanely-fast-whisper", "insanelyfastwhisper",
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"insanely_faster_whisper", "insanely-faster-whisper", "insanelyfasterwhisper"]:
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whisper_inf = InsanelyFastWhisperInference(
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model_dir=self.args.insanely_fast_whisper_model_dir,
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output_dir=self.args.output_dir,
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args=self.args
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)
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else:
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whisper_inf = FasterWhisperInference(
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model_dir=self.args.faster_whisper_model_dir,
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output_dir=self.args.output_dir,
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args=self.args
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)
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return whisper_inf
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def create_whisper_parameters(self):
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with gr.Row():
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dd_model = gr.Dropdown(choices=self.whisper_inf.available_models, value="large-v2",
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import argparse
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import gradio as gr
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from modules.whisper.whisper_factory import WhisperFactory
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from modules.whisper.faster_whisper_inference import FasterWhisperInference
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from modules.whisper.insanely_fast_whisper_inference import InsanelyFastWhisperInference
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from modules.translation.nllb_inference import NLLBInference
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def __init__(self, args):
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self.args = args
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self.app = gr.Blocks(css=CSS, theme=self.args.theme)
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self.whisper_inf = WhisperFactory.create_whisper_inference(
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whisper_type=self.args.whisper_type,
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model_dir=self.args.faster_whisper_model_dir,
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output_dir=self.args.output_dir,
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args=self.args
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)
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print(f"Use \"{self.args.whisper_type}\" implementation")
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print(f"Device \"{self.whisper_inf.device}\" is detected")
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self.nllb_inf = NLLBInference(
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output_dir=os.path.join(self.args.output_dir, "translations")
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)
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def create_whisper_parameters(self):
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with gr.Row():
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dd_model = gr.Dropdown(choices=self.whisper_inf.available_models, value="large-v2",
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modules/whisper/whisper_factory.py
ADDED
@@ -0,0 +1,60 @@
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from argparse import Namespace
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import os
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from modules.whisper.faster_whisper_inference import FasterWhisperInference
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from modules.whisper.whisper_Inference import WhisperInference
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from modules.whisper.insanely_fast_whisper_inference import InsanelyFastWhisperInference
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from modules.whisper.whisper_base import WhisperBase
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class WhisperFactory:
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@staticmethod
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def create_whisper_inference(
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whisper_type: str,
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model_dir: str,
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output_dir: str,
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args: Namespace
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) -> "WhisperBase":
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"""
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Create a whisper inference class based on the provided whisper_type.
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Parameters
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----------
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whisper_type: str
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The repository name of whisper inference to use. Supported values are:
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- "faster-whisper" from
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- "whisper"
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- insanely-fast-whisper", "insanely_fast_whisper", "insanelyfastwhisper",
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"insanely-faster-whisper", "insanely_faster_whisper", "insanelyfasterwhisper"
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model_dir: str
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The directory path where the whisper model is located.
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output_dir: str
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The directory path where the output files will be saved.
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args: Any
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Additional arguments to be passed to the whisper inference object.
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Returns
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-------
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WhisperBase
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An instance of the appropriate whisper inference class based on the whisper_type.
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"""
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# Temporal fix of the bug : https://github.com/jhj0517/Whisper-WebUI/issues/144
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os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
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whisper_type = whisper_type.lower().strip()
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faster_whisper_typos = ["faster_whisper", "faster-whisper", "fasterwhisper"]
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whisper_typos = ["whisper"]
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insanely_fast_whisper_typos = [
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"insanely_fast_whisper", "insanely-fast-whisper", "insanelyfastwhisper",
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"insanely_faster_whisper", "insanely-faster-whisper", "insanelyfasterwhisper"
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]
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if whisper_type in faster_whisper_typos:
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return FasterWhisperInference(model_dir, output_dir, args)
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elif whisper_type in whisper_typos:
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return WhisperInference(model_dir, output_dir, args)
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elif whisper_type in insanely_fast_whisper_typos:
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return InsanelyFastWhisperInference(model_dir, output_dir, args)
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else:
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return FasterWhisperInference(model_dir, output_dir, args)
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