Minor

diff --git a/README.md b/README.md
index c9b7c9bdd0aab247dac15eafb3d1c4897c49d4b4..402c0321fadef650a823f9cc81cab19208a2b104 100644 (file)
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@ High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisp
 - Zero memory allocations at runtime
 - Runs on the CPU
 - [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)
-- Supported platforms: Linux, Mac OS (Intel and Arm), Raspberry Pi, Android
+- Supported platforms: Linux, Mac OS (Intel and Arm), Windows (MinGW), Raspberry Pi, Android
 
 ## Usage
 
@@ -34,7 +34,7 @@ For a quick demo, simply run `make base.en`:
 
 ```java
 $ make base.en
-cc  -O3 -std=c11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread   -c ggml.c
+cc  -O3 -std=c11   -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread -c ggml.c
 c++ -O3 -std=c++11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread -c whisper.cpp
 c++ -O3 -std=c++11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread main.cpp whisper.o ggml.o -o main
 ./main -h
@@ -248,6 +248,8 @@ The original models are converted to a custom binary format. This allows to pack
 - vocabulary
 - weights
 
-You can download the converted models using the [download-ggml-model.sh](download-ggml-model.sh) script.
+You can download the converted models using the [download-ggml-model.sh](download-ggml-model.sh) script or from here:
+
+https://ggml.ggerganov.com
 
 For more details, see the conversion script [convert-pt-to-ggml.py](convert-pt-to-ggml.py) or the README in [models](models).

diff --git a/models/README.md b/models/README.md
index e2ebc1c10b84728289d662ce1b980cd0b108d072..6e0a3ae91d4af120af236847103ea5657a9d6822 100644 (file)
--- a/models/README.md
+++ b/models/README.md
@@ -4,14 +4,14 @@ The [original Whisper PyTorch models provided by OpenAI](https://github.com/open
 have been converted to custom `ggml` format in order to be able to load them in C/C++. The conversion has been performed using the
 [convert-pt-to-ggml.py](convert-pt-to-ggml.py) script. You can either obtain the original models and generate the `ggml` files
 yourself using the conversion script, or you can use the [download-ggml-model.sh](download-ggml-model.sh) script to download the
-already converted models.
+already converted models from https://ggml.ggerganov.com
 
 Sample usage:
 
 ```java
 $ ./download-ggml-model.sh base.en
 Downloading ggml model base.en ...
-models/ggml-base.en.bin          100%[=============================================>] 141.11M  5.41MB/s    in 22s     
+models/ggml-base.en.bin          100%[=============================================>] 141.11M  5.41MB/s    in 22s
 Done! Model 'base.en' saved in 'models/ggml-base.en.bin'
 You can now use it like this:
 

diff --git a/whisper.cpp b/whisper.cpp
index 4137685e0ea08ac6f1707958e578ff2d4e8cb12f..e1eae679c7469462e4379a10da31b93ee8efdde1 100644 (file)
--- a/whisper.cpp
+++ b/whisper.cpp
@@ -2387,7 +2387,7 @@ int whisper_full(
         // print the prompt
         //printf("\n\n");
         //for (int i = 0; i < prompt.size(); i++) {
-        //    printf("%s: prompt[%d] = %s\n", __func__, i, vocab.id_to_token[prompt[i]].c_str());
+        //    printf("%s: prompt[%d] = %s\n", __func__, i, ctx->vocab.id_to_token[prompt[i]].c_str());
         //}
         //printf("\n\n");