Update app
Browse files
app.py
CHANGED
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@@ -53,8 +53,6 @@ MODEL_ARCH = os.environ.get("F5TTS_ARCH", "F5TTS_v1_Base")
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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MAX_GEN_CHARS = 600 # keep generations bounded on CPU
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_model_lock = threading.Lock()
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_tts_model = None
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@@ -121,11 +119,6 @@ def get_model():
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def generate_default_voice(text: str, speed: float, nfe_steps: int):
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if not text or not text.strip():
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raise gr.Error("Please enter some text to generate speech for.")
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if len(text) > MAX_GEN_CHARS:
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raise gr.Error(
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f"Text is too long ({len(text)} characters). "
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f"Please keep it under {MAX_GEN_CHARS} characters on this CPU Space."
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)
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model, ref_audio, ref_text = get_model()
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@@ -153,11 +146,6 @@ def generate_cloned_voice(
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raise gr.Error("Please upload a reference voice clip first.")
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if not gen_text or not gen_text.strip():
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raise gr.Error("Please enter the text you want spoken in the cloned voice.")
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if len(gen_text) > MAX_GEN_CHARS:
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raise gr.Error(
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f"Text is too long ({len(gen_text)} characters). "
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f"Please keep it under {MAX_GEN_CHARS} characters on this CPU Space."
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)
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model, _, _ = get_model()
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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_model_lock = threading.Lock()
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_tts_model = None
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def generate_default_voice(text: str, speed: float, nfe_steps: int):
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if not text or not text.strip():
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raise gr.Error("Please enter some text to generate speech for.")
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model, ref_audio, ref_text = get_model()
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raise gr.Error("Please upload a reference voice clip first.")
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if not gen_text or not gen_text.strip():
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raise gr.Error("Please enter the text you want spoken in the cloned voice.")
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model, _, _ = get_model()
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