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summary bugs report

Open simplify123 opened this issue 8 months ago • 0 comments

The voice-to-text function is working properly, but there is a failure when the large model tries to summarize the content. Ollama is deployed on another host within the local area network, and both devices can access the network normally.

Image

logs:

` {'load_data': '0.000', 'extract_feat': '0.014', 'forward': '2.224', 'batch_size': '1', 'rtf': '0.057'}, : 100%|██████████| 1/1 [00:02<00:00, 2.22s/it]

rtf_avg: 0.057: 100%|██████████| 1/1 [00:02<00:00, 2.22s/it]
rtf_avg: 0.057: 100%|██████████| 1/1 [00:02<00:00, 2.22s/it]

0%| | 0/51 [00:00<?, ?it/s]

100%|██████████| 51/51 [00:00<00:00, 67.14it/s]

{'load_data': '0.000', 'extract_feat': '0.040', 'forward': '0.760', 'batch_size': '1', 'rtf': '0.010'}, : 100%|██████████| 51/51 [00:00<00:00, 67.14it/s]

rtf_avg: 0.010: 100%|██████████| 51/51 [00:00<00:00, 67.14it/s]
rtf_avg: 0.010: 100%|██████████| 51/51 [00:00<00:00, 67.09it/s]

0%| | 0/1 [00:00<?, ?it/s]

100%|██████████| 1/1 [00:02<00:00, 2.17s/it]

{'load_data': '0.000', 'extract_feat': '0.015', 'forward': '2.167', 'batch_size': '1', 'rtf': '0.054'}, : 100%|██████████| 1/1 [00:02<00:00, 2.17s/it]

rtf_avg: 0.054: 100%|██████████| 1/1 [00:02<00:00, 2.17s/it]
rtf_avg: 0.054: 100%|██████████| 1/1 [00:02<00:00, 2.17s/it]

0%| | 0/53 [00:00<?, ?it/s]

100%|██████████| 53/53 [00:00<00:00, 62.22it/s]

{'load_data': '0.000', 'extract_feat': '0.041', 'forward': '0.852', 'batch_size': '1', 'rtf': '0.011'}, : 100%|██████████| 53/53 [00:00<00:00, 62.22it/s]

rtf_avg: 0.011: 100%|██████████| 53/53 [00:00<00:00, 62.22it/s]
rtf_avg: 0.011: 100%|██████████| 53/53 [00:00<00:00, 62.18it/s]

0%| | 0/1 [00:00<?, ?it/s]

100%|██████████| 1/1 [00:02<00:00, 2.34s/it]

{'load_data': '0.000', 'extract_feat': '0.016', 'forward': '2.337', 'batch_size': '1', 'rtf': '0.057'}, : 100%|██████████| 1/1 [00:02<00:00, 2.34s/it]

rtf_avg: 0.057: 100%|██████████| 1/1 [00:02<00:00, 2.34s/it]
rtf_avg: 0.057: 100%|██████████| 1/1 [00:02<00:00, 2.34s/it]

0%| | 0/54 [00:00<?, ?it/s]

100%|██████████| 54/54 [00:00<00:00, 59.92it/s]

{'load_data': '0.000', 'extract_feat': '0.046', 'forward': '0.901', 'batch_size': '1', 'rtf': '0.011'}, : 100%|██████████| 54/54 [00:00<00:00, 59.92it/s]

rtf_avg: 0.011: 100%|██████████| 54/54 [00:00<00:00, 59.92it/s]
rtf_avg: 0.011: 100%|██████████| 54/54 [00:00<00:00, 59.88it/s]

0%| | 0/1 [00:00<?, ?it/s]

100%|██████████| 1/1 [00:02<00:00, 2.40s/it]

{'load_data': '0.000', 'extract_feat': '0.015', 'forward': '2.399', 'batch_size': '1', 'rtf': '0.055'}, : 100%|██████████| 1/1 [00:02<00:00, 2.40s/it]

rtf_avg: 0.055: 100%|██████████| 1/1 [00:02<00:00, 2.40s/it]
rtf_avg: 0.055: 100%|██████████| 1/1 [00:02<00:00, 2.40s/it]

0%| | 0/58 [00:00<?, ?it/s]

100%|██████████| 58/58 [00:01<00:00, 54.84it/s]

{'load_data': '0.000', 'extract_feat': '0.046', 'forward': '1.058', 'batch_size': '1', 'rtf': '0.012'}, : 100%|██████████| 58/58 [00:01<00:00, 54.84it/s]

rtf_avg: 0.012: 100%|██████████| 58/58 [00:01<00:00, 54.84it/s]
rtf_avg: 0.012: 100%|██████████| 58/58 [00:01<00:00, 54.80it/s]

0%| | 0/1 [00:00<?, ?it/s]

100%|██████████| 1/1 [00:02<00:00, 2.48s/it]

{'load_data': '0.000', 'extract_feat': '0.014', 'forward': '2.485', 'batch_size': '1', 'rtf': '0.056'}, : 100%|██████████| 1/1 [00:02<00:00, 2.48s/it]

rtf_avg: 0.056: 100%|██████████| 1/1 [00:02<00:00, 2.48s/it]
rtf_avg: 0.056: 100%|██████████| 1/1 [00:02<00:00, 2.49s/it]

0%| | 0/58 [00:00<?, ?it/s]

100%|██████████| 58/58 [00:00<00:00, 66.81it/s]

{'load_data': '0.000', 'extract_feat': '0.050', 'forward': '0.868', 'batch_size': '1', 'rtf': '0.010'}, : 100%|██████████| 58/58 [00:00<00:00, 66.81it/s]

rtf_avg: 0.010: 100%|██████████| 58/58 [00:00<00:00, 66.81it/s]
rtf_avg: 0.010: 100%|██████████| 58/58 [00:00<00:00, 66.76it/s]

0%| | 0/1 [00:00<?, ?it/s]

100%|██████████| 1/1 [00:03<00:00, 3.44s/it]

{'load_data': '0.000', 'extract_feat': '0.021', 'forward': '3.442', 'batch_size': '1', 'rtf': '0.057'}, : 100%|██████████| 1/1 [00:03<00:00, 3.44s/it]

rtf_avg: 0.057: 100%|██████████| 1/1 [00:03<00:00, 3.44s/it]
rtf_avg: 0.057: 100%|██████████| 1/1 [00:03<00:00, 3.44s/it]

0%| | 0/80 [00:00<?, ?it/s]

100%|██████████| 80/80 [00:01<00:00, 57.43it/s]

{'load_data': '0.000', 'extract_feat': '0.063', 'forward': '1.393', 'batch_size': '1', 'rtf': '0.012'}, : 100%|██████████| 80/80 [00:01<00:00, 57.43it/s]

rtf_avg: 0.012: 100%|██████████| 80/80 [00:01<00:00, 57.43it/s]
rtf_avg: 0.012: 100%|██████████| 80/80 [00:01<00:00, 57.40it/s]

0%| | 0/1 [00:00<?, ?it/s]

100%|██████████| 1/1 [00:03<00:00, 3.23s/it]

{'load_data': '0.000', 'extract_feat': '0.025', 'forward': '3.234', 'batch_size': '1', 'rtf': '0.054'}, : 100%|██████████| 1/1 [00:03<00:00, 3.23s/it]

rtf_avg: 0.054: 100%|██████████| 1/1 [00:03<00:00, 3.23s/it]
rtf_avg: 0.054: 100%|██████████| 1/1 [00:03<00:00, 3.23s/it]

0%| | 0/80 [00:00<?, ?it/s]

100%|██████████| 80/80 [00:01<00:00, 78.22it/s]

{'load_data': '0.000', 'extract_feat': '0.068', 'forward': '1.126', 'batch_size': '1', 'rtf': '0.009'}, : 100%|██████████| 80/80 [00:01<00:00, 78.22it/s]

rtf_avg: 0.009: 100%|██████████| 80/80 [00:01<00:00, 78.22it/s]
rtf_avg: 0.009: 100%|██████████| 80/80 [00:01<00:00, 78.18it/s]

0%| | 0/1 [00:00<?, ?it/s]

100%|██████████| 1/1 [00:02<00:00, 3.00s/it]

{'load_data': '0.000', 'extract_feat': '0.021', 'forward': '2.998', 'batch_size': '1', 'rtf': '0.050'}, : 100%|██████████| 1/1 [00:02<00:00, 3.00s/it]

rtf_avg: 0.050: 100%|██████████| 1/1 [00:02<00:00, 3.00s/it]
rtf_avg: 0.050: 100%|██████████| 1/1 [00:02<00:00, 3.00s/it]

0%| | 0/80 [00:00<?, ?it/s]

100%|██████████| 80/80 [00:01<00:00, 64.98it/s]

{'load_data': '0.000', 'extract_feat': '0.067', 'forward': '1.231', 'batch_size': '1', 'rtf': '0.010'}, : 100%|██████████| 80/80 [00:01<00:00, 64.98it/s]

rtf_avg: 0.010: 100%|██████████| 80/80 [00:01<00:00, 64.98it/s]
rtf_avg: 0.010: 100%|██████████| 80/80 [00:01<00:00, 64.93it/s] 2025-04-10 14:08:36 - Translation file for zh-CN not found. Using default translation en-US.

0%| | 0/1 [00:00<?, ?it/s]

100%|██████████| 1/1 [00:02<00:00, 2.81s/it]

{'load_data': 0.0, 'extract_feat': 0.0, 'forward': '2.814', 'batch_size': '1', 'rtf': '-2.814'}, : 100%|██████████| 1/1 [00:02<00:00, 2.81s/it]

rtf_avg: -2.814: 100%|██████████| 1/1 [00:02<00:00, 2.81s/it]
rtf_avg: -2.814: 100%|██████████| 1/1 [00:02<00:00, 2.81s/it]

100%|██████████| 1/1 [01:33<00:00, 93.02s/it] rtf_avg: 0.091, time_speech: 1015.360, time_escape: 92.350: 100%|██████████| 1/1 [01:33<00:00, 93.02s/it] rtf_avg: 0.091, time_speech: 1015.360, time_escape: 92.350: 100%|██████████| 1/1 [01:33<00:00, 93.02s/it] 2025-04-10 14:10:19 - HTTP Request: POST http://192.168.1.22:11434/v1/chat/completions "HTTP/1.1 200 OK" 2025-04-10 14:10:19 - 1 change detected 2025-04-10 14:10:20 - Translation file for zh-CN not found. Using default translation en-US. 2025-04-10 14:10:47 - Translation file for zh-CN not found. Using default translation en-US. 2025-04-10 14:14:50 - Translation file for zh-CN not found. Using default translation en-US. 2025-04-10 14:16:00 - Translation file for zh-CN not found. Using default translation en-US. 2025-04-10 14:17:06 - An error occurred: (sqlalchemy.dialects.postgresql.asyncpg.ProgrammingError) <class 'asyncpg.exceptions.UndefinedColumnError'>: column "threadId" of relation "feedbacks" does not exist [SQL: INSERT INTO feedbacks ("forId", "value", "threadId", "id", "comment") VALUES ($1, $2, $3, $4, $5) ON CONFLICT (id) DO UPDATE SET "forId" = $1, "value" = $2, "threadId" = $3, "comment" = $5;
] [parameters: ('7ab4f0a0-206c-419e-8f29-871106743595', 0, 'b3c68554-5669-4f9b-89e8-97a558c9f25b', '0ae69c33-2eb3-468b-bf53-359683ac0dfd', 'task unfinished. task failed.')] (Background on this error at: https://sqlalche.me/e/20/f405) 2025-04-10 14:18:24 - Translation file for zh-CN not found. Using default translation en-US. `

simplify123 avatar Apr 10 '25 14:04 simplify123