Update app.py

app.py

@@ -97,8 +97,8 @@ def generate_audio(text):
     
     # speaker_embeddings = torch.tensor(np.load("speaker_embeddings.npy"))
 
-
-   speaker_embeddings= torch.tensor([[-0.0917, -0.0461,  0.0347,  0.0341,  0.0197, -0.0438, -0.0377, -0.0212, 0.0361,  0.0220, -0.0676, -0.0731,  0.0827,  0.0132,  0.0187,  0.0577, -0.0026,  0.0618,  0.0088,  0.0159,  0.0344,  0.0243, -0.0164, -0.0430, -0.0556, -0.0044, -0.0413, -0.0003,  0.0310,  0.0369, -0.0034,  0.0424, 0.0474,  0.0102,  0.0392, -0.0611,  0.0405,  0.0652, -0.0386, -0.0638,   0.0255, -0.0411,  0.0398,  0.0490,  0.0297, -0.1218, -0.0206,  0.0146,-0.0649,  0.0550,  0.0177,  0.0407,  0.0017, -0.0113, -0.0990, -0.0015,0.0158,  0.0481,  0.0286,  0.0300,  0.0346, -0.0104, -0.0142, -0.0005,0.0264,  0.0412,  0.0227, -0.0389, -0.0489, -0.0750,  0.0238,  0.0101,0.0171,  0.0141,  0.0224,  0.0344,  0.0402,  0.0336, -0.0641, -0.0818, -0.0731, -0.0470, -0.0512, -0.0602, -0.0344, -0.0442, -0.0541,  0.0097, 0.0198,  0.0482,  0.0323, -0.0885,  0.0210, -0.0798,  0.0417, -0.0436, 0.0402,  0.0256, -0.0641, -0.0668, -0.0023, -0.0706, -0.0928,  0.0121, 0.0355, -0.0376,  0.0522,  0.0482,  0.0200,  0.0290, -0.0698, -0.0232, 0.0878,  0.0044,  0.0559,  0.0581, -0.0718,  0.0095, -0.0538,  0.0125, 0.0023, -0.0562,  0.0424,  0.0261, -0.0498,  0.0255, -0.0840,  0.0331, 0.0406,  0.0162, -0.0522,  0.0218,  0.0323,  0.0359,  0.0128, -0.0891, -0.0569,  0.0031, -0.0694, -0.0102,  0.0118,  0.0033,  0.0127,  0.0589, -0.0783,  0.0179,  0.0200, -0.0371,  0.0325, -0.1033,  0.0483, -0.0343, -0.0714,  0.0102,  0.0665,  0.0278,  0.0285, -0.0653, -0.0834,  0.0196, 0.0399,  0.0085,  0.0246, -0.0400,  0.0215,  0.0083,  0.0302,  0.0204, 0.0360,  0.0309, -0.0306, -0.0828,  0.0142, -0.0614, -0.0103,  0.0372, -0.0456,  0.0291,  0.0565, -0.0271,  0.0518, -0.0671,  0.0012, -0.0048, -0.0565, -0.0092,  0.0336,  0.0476, -0.0351, -0.0698,  0.0487,  0.0313, -0.0491,  0.0401,  0.0246,  0.0178,  0.0405,  0.0012,  0.0311, -0.0041, 0.0367,  0.0330, -0.0609,  0.0099, -0.0097,  0.0173,  0.0494, -0.0305, 0.0272, -0.0349,  0.0025, -0.0697, -0.0414,  0.0604, -0.0707,  0.0420, 0.0380, -0.0731,  0.0546,  0.0339, -0.0758,  0.0365, -0.0712, -0.0140, 0.0365,  0.0477,  0.0796,  0.0572,  0.0212,  0.0098,  0.0133,  0.0261, 0.0329, -0.0269,  0.0437, -0.0359,  0.0296,  0.0180, -0.0008,  0.0668, -0.0448,  0.0269, -0.0734,  0.0194, -0.0494,  0.0432,  0.0449,  0.0442, 0.0389,  0.0530,  0.0420,  0.0021,  0.0084, -0.0820, -0.0081,  0.0326, 0.0265,  0.0536, -0.0714,  0.0188,  0.0298, -0.0737,  0.0110,  0.0340, 0.0016,  0.0262,  0.0179,  0.0109,  0.0426, -0.0538,  0.0649,  0.0160, 0.0146, -0.0419, -0.0851,  0.0138,  0.0399,  0.0445, -0.0849, -0.0425, 0.0293,  0.0477,  0.0108, -0.0941, -0.0386,  0.0600,  0.0089,  0.0557,-0.0892,  0.0026,  0.0192,  0.0136, -0.0207, -0.0023,  0.0163,  0.0263, -0.0112,  0.0245,  0.0411,  0.0285,  0.0267,  0.0297,  0.0213, -0.0577, 0.0169,  0.0592,  0.0227,  0.0290,  0.0074,  0.0197,  0.0282,  0.0368,0.0064,  0.0092, -0.0896, -0.0693, -0.0295,  0.0316, -0.0674,  0.0645,-0.0655,  0.0355, -0.0389,  0.0134,  0.0299, -0.0534,  0.0537,  0.0900, -0.0770, -0.0666, -0.0600, -0.0019,  0.0276,  0.0590, -0.0705,  0.0222, 0.0517, -0.0089,  0.0063, -0.0270,  0.0185, -0.0626, -0.0065,  0.0187,-0.0670,  0.0216,  0.0356,  0.0384, -0.0268, -0.0628, -0.0443, -0.0195, -0.0495,  0.1405,  0.0274, -0.0455, -0.0068,  0.0686, -0.0756, -0.0073, -0.0981,  0.0025,  0.0383,  0.0157,  0.0651,  0.0252, -0.0665,  0.0054, 0.0223,  0.0509,  0.0101,  0.0454, -0.0527,  0.0252, -0.0157, -0.0022, 0.0526,  0.0224,  0.0494,  0.0293, -0.0808, -0.1220,  0.0196,  0.0135, 0.0303, -0.0467,  0.0411, -0.0639,  0.0358,  0.0499,  0.0425,  0.0169, -0.0579,  0.0388,  0.0414, -0.0101,  0.0490, -0.0773,  0.0478, -0.0238, -0.0142, -0.0508,  0.0018, -0.0085,  0.0198,  0.0126,  0.0133, -0.0554, -0.0583, -0.0699, -0.0167,  0.0131,  0.0288, -0.0132,  0.0343, -0.0476, -0.0039, -0.0825, -0.1180, -0.0570, -0.0590,  0.0233,  0.0500, -0.0328, -0.0426,  0.0241,  0.0441,  0.0372,  0.0488, -0.0366, -0.0233, -0.0118, -0.0256,  0.0254,  0.0041,  0.0119,  0.0423,  0.0178, -0.0245, -0.0769, 0.0056,  0.0428,  0.0341, -0.0009, -0.0197,  0.0395,  0.0247,  0.0090, 0.0098, -0.0083,  0.0346,  0.0411,  0.0416,  0.0413,  0.0312,  0.0054, 0.0390, -0.0571, -0.0403,  0.0441, -0.0132,  0.0117,  0.0467,  0.0516,-0.0639,  0.0296,  0.0337, -0.0557,  0.0110,  0.0277, -0.0026,  0.0347, 0.0301,  0.0056, -0.0572, -0.0663,  0.0124, -0.0065,  0.0222,  0.0441,-0.0570, -0.0519,  0.0132,  0.0323,  0.0401,  0.0357, -0.0555,  0.0310,0.0028, -0.0102, -0.0598,  0.0153, -0.0438,  0.0268, -0.0097,  0.0388,-0.0330, -0.0277, -0.0581, -0.0389,  0.0099,  0.0371, -0.0455,  0.0553, 0.0753, -0.0154, -0.0385,  0.0359,  0.0403,  0.0464,  0.0499, -0.0365]])
+    speaker_embeddings = torch.load("speaker_embeddings_29.pt")
+    # speaker_embeddings= torch.tensor([[-0.0917, -0.0461,  0.0347,  0.0341,  0.0197, -0.0438, -0.0377, -0.0212, 0.0361,  0.0220, -0.0676, -0.0731,  0.0827,  0.0132,  0.0187,  0.0577, -0.0026,  0.0618,  0.0088,  0.0159,  0.0344,  0.0243, -0.0164, -0.0430, -0.0556, -0.0044, -0.0413, -0.0003,  0.0310,  0.0369, -0.0034,  0.0424, 0.0474,  0.0102,  0.0392, -0.0611,  0.0405,  0.0652, -0.0386, -0.0638,   0.0255, -0.0411,  0.0398,  0.0490,  0.0297, -0.1218, -0.0206,  0.0146,-0.0649,  0.0550,  0.0177,  0.0407,  0.0017, -0.0113, -0.0990, -0.0015,0.0158,  0.0481,  0.0286,  0.0300,  0.0346, -0.0104, -0.0142, -0.0005,0.0264,  0.0412,  0.0227, -0.0389, -0.0489, -0.0750,  0.0238,  0.0101,0.0171,  0.0141,  0.0224,  0.0344,  0.0402,  0.0336, -0.0641, -0.0818, -0.0731, -0.0470, -0.0512, -0.0602, -0.0344, -0.0442, -0.0541,  0.0097, 0.0198,  0.0482,  0.0323, -0.0885,  0.0210, -0.0798,  0.0417, -0.0436, 0.0402,  0.0256, -0.0641, -0.0668, -0.0023, -0.0706, -0.0928,  0.0121, 0.0355, -0.0376,  0.0522,  0.0482,  0.0200,  0.0290, -0.0698, -0.0232, 0.0878,  0.0044,  0.0559,  0.0581, -0.0718,  0.0095, -0.0538,  0.0125, 0.0023, -0.0562,  0.0424,  0.0261, -0.0498,  0.0255, -0.0840,  0.0331, 0.0406,  0.0162, -0.0522,  0.0218,  0.0323,  0.0359,  0.0128, -0.0891, -0.0569,  0.0031, -0.0694, -0.0102,  0.0118,  0.0033,  0.0127,  0.0589, -0.0783,  0.0179,  0.0200, -0.0371,  0.0325, -0.1033,  0.0483, -0.0343, -0.0714,  0.0102,  0.0665,  0.0278,  0.0285, -0.0653, -0.0834,  0.0196, 0.0399,  0.0085,  0.0246, -0.0400,  0.0215,  0.0083,  0.0302,  0.0204, 0.0360,  0.0309, -0.0306, -0.0828,  0.0142, -0.0614, -0.0103,  0.0372, -0.0456,  0.0291,  0.0565, -0.0271,  0.0518, -0.0671,  0.0012, -0.0048, -0.0565, -0.0092,  0.0336,  0.0476, -0.0351, -0.0698,  0.0487,  0.0313, -0.0491,  0.0401,  0.0246,  0.0178,  0.0405,  0.0012,  0.0311, -0.0041, 0.0367,  0.0330, -0.0609,  0.0099, -0.0097,  0.0173,  0.0494, -0.0305, 0.0272, -0.0349,  0.0025, -0.0697, -0.0414,  0.0604, -0.0707,  0.0420, 0.0380, -0.0731,  0.0546,  0.0339, -0.0758,  0.0365, -0.0712, -0.0140, 0.0365,  0.0477,  0.0796,  0.0572,  0.0212,  0.0098,  0.0133,  0.0261, 0.0329, -0.0269,  0.0437, -0.0359,  0.0296,  0.0180, -0.0008,  0.0668, -0.0448,  0.0269, -0.0734,  0.0194, -0.0494,  0.0432,  0.0449,  0.0442, 0.0389,  0.0530,  0.0420,  0.0021,  0.0084, -0.0820, -0.0081,  0.0326, 0.0265,  0.0536, -0.0714,  0.0188,  0.0298, -0.0737,  0.0110,  0.0340, 0.0016,  0.0262,  0.0179,  0.0109,  0.0426, -0.0538,  0.0649,  0.0160, 0.0146, -0.0419, -0.0851,  0.0138,  0.0399,  0.0445, -0.0849, -0.0425, 0.0293,  0.0477,  0.0108, -0.0941, -0.0386,  0.0600,  0.0089,  0.0557,-0.0892,  0.0026,  0.0192,  0.0136, -0.0207, -0.0023,  0.0163,  0.0263, -0.0112,  0.0245,  0.0411,  0.0285,  0.0267,  0.0297,  0.0213, -0.0577, 0.0169,  0.0592,  0.0227,  0.0290,  0.0074,  0.0197,  0.0282,  0.0368,0.0064,  0.0092, -0.0896, -0.0693, -0.0295,  0.0316, -0.0674,  0.0645,-0.0655,  0.0355, -0.0389,  0.0134,  0.0299, -0.0534,  0.0537,  0.0900, -0.0770, -0.0666, -0.0600, -0.0019,  0.0276,  0.0590, -0.0705,  0.0222, 0.0517, -0.0089,  0.0063, -0.0270,  0.0185, -0.0626, -0.0065,  0.0187,-0.0670,  0.0216,  0.0356,  0.0384, -0.0268, -0.0628, -0.0443, -0.0195, -0.0495,  0.1405,  0.0274, -0.0455, -0.0068,  0.0686, -0.0756, -0.0073, -0.0981,  0.0025,  0.0383,  0.0157,  0.0651,  0.0252, -0.0665,  0.0054, 0.0223,  0.0509,  0.0101,  0.0454, -0.0527,  0.0252, -0.0157, -0.0022, 0.0526,  0.0224,  0.0494,  0.0293, -0.0808, -0.1220,  0.0196,  0.0135, 0.0303, -0.0467,  0.0411, -0.0639,  0.0358,  0.0499,  0.0425,  0.0169, -0.0579,  0.0388,  0.0414, -0.0101,  0.0490, -0.0773,  0.0478, -0.0238, -0.0142, -0.0508,  0.0018, -0.0085,  0.0198,  0.0126,  0.0133, -0.0554, -0.0583, -0.0699, -0.0167,  0.0131,  0.0288, -0.0132,  0.0343, -0.0476, -0.0039, -0.0825, -0.1180, -0.0570, -0.0590,  0.0233,  0.0500, -0.0328, -0.0426,  0.0241,  0.0441,  0.0372,  0.0488, -0.0366, -0.0233, -0.0118, -0.0256,  0.0254,  0.0041,  0.0119,  0.0423,  0.0178, -0.0245, -0.0769, 0.0056,  0.0428,  0.0341, -0.0009, -0.0197,  0.0395,  0.0247,  0.0090, 0.0098, -0.0083,  0.0346,  0.0411,  0.0416,  0.0413,  0.0312,  0.0054, 0.0390, -0.0571, -0.0403,  0.0441, -0.0132,  0.0117,  0.0467,  0.0516,-0.0639,  0.0296,  0.0337, -0.0557,  0.0110,  0.0277, -0.0026,  0.0347, 0.0301,  0.0056, -0.0572, -0.0663,  0.0124, -0.0065,  0.0222,  0.0441,-0.0570, -0.0519,  0.0132,  0.0323,  0.0401,  0.0357, -0.0555,  0.0310,0.0028, -0.0102, -0.0598,  0.0153, -0.0438,  0.0268, -0.0097,  0.0388,-0.0330, -0.0277, -0.0581, -0.0389,  0.0099,  0.0371, -0.0455,  0.0553, 0.0753, -0.0154, -0.0385,  0.0359,  0.0403,  0.0464,  0.0499, -0.0365]])