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Update app.py
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app.py
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import torch
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import torchaudio
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import torch.nn.functional as F
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from model import SpeechSeparationModel
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#
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MODEL_PATH = "speech_separation_model_epoch_3.pth"
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@st.cache_resource
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def load_model():
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model = SpeechSeparationModel()
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model.load_state_dict(torch.load(MODEL_PATH, map_location="cpu"))
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model.eval()
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return model
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model = load_model()
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def separate_speech(audio_signal, sample_rate):
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""" ใช้โมเดล deep learning เพื่อแยกเสียงพูดจากเสียงรบกวน """
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audio_tensor = torch.tensor(audio_signal).float().unsqueeze(0).unsqueeze(0) # (batch, channel, length)
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with torch.no_grad():
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separated_audio = model(audio_tensor).squeeze().numpy()
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import torch
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import streamlit as st
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import numpy as np
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import torchaudio
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import torch.nn as nn
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import torch.nn.functional as F
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from model import SpeechSeparationModel
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# ตรวจสอบว่าไฟล์โมเดลอยู่ที่ไหน
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MODEL_PATH = "speech_separation_model_epoch_3.pth"
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# โหลดโมเดล Speech Separation
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@st.cache_resource
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def load_model():
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model = SpeechSeparationModel() # ตรวจสอบว่า SpeechSeparationModel ถูก import
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model.load_state_dict(torch.load(MODEL_PATH, map_location="cpu"))
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model.eval()
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return model
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model = load_model()
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# ฟังก์ชันแยกเสียงพูดโดยใช้โมเดล
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def separate_speech(audio_signal, sample_rate):
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audio_tensor = torch.tensor(audio_signal).float().unsqueeze(0).unsqueeze(0) # (batch, channel, length)
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with torch.no_grad():
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separated_audio = model(audio_tensor).squeeze().numpy()
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