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whisper.cpp/examples/whisper.swiftui
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Georgi Gerganov 8de452c18b
Improve decoding (#291) 
* whisper : prepare infra for new decoding strategies

* whisper : apply logit filters and compute logprobs

* whisper : add whisper_get_logits()

* whisper : separate self and cross attention memory

Initial step needed for supporting parallel decoders

* whisper : move probs_id buffer to whisper_context

* whisper : refactor kv cache into separate struct

* whisper : move self-attention kv cache to whisper_decoder

* whisper : wip decoding parameters + strategies

* whisper : wip decoding parameters + strategies (part 2)

* whisper : wip decoding parameters + strategies (part 3)

* whisper : wip decoding parameters + strategies (part 4)

* whisper : fix prompt_past update to not include prompt_init

* whisper : temperature + best_of support

* whisper : support for compression_ration_threshold

We actually use entropy, but it is similar

* command : fix example to use logits instead of obsolete probs

* whisper : handle empty sequence ranking

* whisper : add WHISPER_DEBUG + diagnostic prints + new main args

* whisper : minor fixes

* whisper : add beam-search support

* whisper : bug fix when there no previous context

* whisper : add comments

* stream : disable temperature fallback

For real-time processing, we always want a single decoder running at T=0

* whisper.swiftui : update example - fix paths + add empty folders
2023-01-15 11:29:57 +02:00
..
whisper.cpp.swift whisper : add loader class to allow loading from buffer and others (#353) 2023-01-08 13:03:33 +02:00
whisper.swiftui.demo Improve decoding (#291) 2023-01-15 11:29:57 +02:00
whisper.swiftui.xcodeproj Improve decoding (#291) 2023-01-15 11:29:57 +02:00
README.md examples : add whisper.swiftui demo app (#308) 2022-12-23 10:56:18 +02:00

README.md

A sample SwiftUI app using whisper.cpp to do voice-to-text transcriptions. See also: whisper.objc.

To use:

  1. Select a model from the whisper.cpp repository.1
  2. Add the model to "whisper.swiftui.demo/Resources/models" via Xcode.
  3. Select a sample audio file (for example, jfk.wav).
  4. Add the model to "whisper.swiftui.demo/Resources/samples" via Xcode.
  5. Select the "release" build configuration under "Run", then deploy and run to your device.

  1. I recommend the tiny, base or small models for running on an iOS device. ↩︎