Update app.py
Browse files
app.py
CHANGED
@@ -6,22 +6,22 @@ import numpy as np
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import soundfile as sf
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import requests
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# ==========
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MODEL_PATH = "model/D_v13_20231020.pth"
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os.makedirs("model", exist_ok=True)
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def download_model():
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if not os.path.exists(MODEL_PATH):
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url = "https://huggingface.co/MMVC/prelearned-model/resolve/main/D_v13_20231020.pth"
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print("Downloading model...")
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response = requests.get(
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with open(MODEL_PATH, "wb") as f:
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f.write(response.content)
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print("Model downloaded.")
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download_model()
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# ========== DUMMY
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class DummyVoiceChanger(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@@ -29,14 +29,13 @@ class DummyVoiceChanger(torch.nn.Module):
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def forward(self, audio):
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audio = torch.tensor(audio, dtype=torch.float32)
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return (audio * self.gain).numpy()
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# Load dummy model
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model = DummyVoiceChanger()
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#
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# ==========
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def convert_voice(audio_file):
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audio_data, sr = librosa.load(audio_file, sr=16000)
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audio_data = librosa.util.fix_length(audio_data, size=16000 * 5)
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@@ -53,8 +52,8 @@ interface = gr.Interface(
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fn=convert_voice,
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inputs=gr.Audio(type="filepath", label="Upload Voice"),
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outputs=gr.Audio(type="filepath", label="Converted Voice"),
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title="AI Voice Changer (No RVC / No TTS)",
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description="
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)
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interface.launch()
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import soundfile as sf
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import requests
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# ========== MODEL SETUP ==========
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MODEL_URL = "https://huggingface.co/MMVC/prelearned-model/resolve/main/D_v13_20231020.pth"
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MODEL_PATH = "model/D_v13_20231020.pth"
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os.makedirs("model", exist_ok=True)
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def download_model():
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if not os.path.exists(MODEL_PATH):
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print("Downloading model...")
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response = requests.get(MODEL_URL)
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with open(MODEL_PATH, "wb") as f:
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f.write(response.content)
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print("Model downloaded.")
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download_model()
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# ========== DUMMY VOICE CHANGER MODEL ==========
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class DummyVoiceChanger(torch.nn.Module):
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def __init__(self):
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super().__init__()
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def forward(self, audio):
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audio = torch.tensor(audio, dtype=torch.float32)
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return (audio * self.gain).detach().numpy() # FIXED
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model = DummyVoiceChanger()
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# Skipping real loading of .pth, as it's just a placeholder
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# torch.load(MODEL_PATH) would load it here if needed
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# ========== INFERENCE FUNCTION ==========
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def convert_voice(audio_file):
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audio_data, sr = librosa.load(audio_file, sr=16000)
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audio_data = librosa.util.fix_length(audio_data, size=16000 * 5)
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fn=convert_voice,
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inputs=gr.Audio(type="filepath", label="Upload Voice"),
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outputs=gr.Audio(type="filepath", label="Converted Voice"),
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title="🗣️ AI Voice Changer (No RVC / No TTS)",
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description="Simple PyTorch voice changer using a dummy model and direct model download. Replace dummy model with real MMVC for production."
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)
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interface.launch()
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