Mar 9, 2025

1. 09:14

   use whisper-tiny and check processing speeds for low tiers

   Bhavibond
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   b623c58
2. 07:50

   fix the encoder for low end execution

   Bhavibond
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   4a54047
3. 07:37

   pass input_embeddings

   Bhavibond
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   0871702
4. 07:32

   parse input_feature tensor explicitly

   Bhavibond
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   e6265b7
5. 07:25

   Load the speaker embeddings directly from the dataset

   Bhavibond
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   d1caf5e
6. 07:23

   Load the speaker embedding directly from the dataset

   Bhavibond
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   b9e1e85
7. 07:13

   fix string indeces error and load a lighter model and check

   Bhavibond
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   27c4742
8. 07:11

   use a lighter TTS version

   Bhavibond
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   0b1dbcf
9. 07:00

   add setencepiece as an explicit dependency

   Bhavibond
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   1ac1fc9
10. 06:54

    remove unnecessary dependencies

    Bhavibond
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    bd7d931
11. 06:52

    load a lighter model and check

    Bhavibond
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    b7a3e0e
12. 06:45

    Create app.py

    Bhavibond
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    8faecdb
13. 06:44

    Create requirements.txt

    Bhavibond
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    b3cdb51
14. 06:43

    initial commit

    Bhavibond
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    daa2256