From 8d5c325711ab9b3e8d84702bab0e5cac6287edf0 Mon Sep 17 00:00:00 2001
From: jhen <developer@jhen.me>
Date: Fri, 15 Dec 2023 08:27:04 +0800
Subject: [PATCH] feat(example): use base model

---
 example/src/App.tsx             | 13 ++++++++-----
 example/src/context-opts.ios.ts |  8 ++++----
 scripts/bootstrap.sh            | 22 +++++++++++-----------
 3 files changed, 23 insertions(+), 20 deletions(-)

diff --git a/example/src/App.tsx b/example/src/App.tsx
index df09f8d..531034f 100644
--- a/example/src/App.tsx
+++ b/example/src/App.tsx
@@ -140,7 +140,7 @@ export default function App() {
               log('Initialize context...')
               const startTime = Date.now()
               const ctx = await initWhisper({
-                filePath: require('../assets/ggml-tiny.en.bin'),
+                filePath: require('../assets/ggml-base.bin'),
                 ...contextOpts,
               })
               const endTime = Date.now()
@@ -161,7 +161,7 @@ export default function App() {
                 log('Released previous context')
               }
               await createDir(log)
-              const modelFilePath = `${fileDir}/ggml-tiny.en.bin`
+              const modelFilePath = `${fileDir}/ggml-base.bin`
               if (await RNFS.exists(modelFilePath)) {
                 log('Model already exists:')
                 log(filterPath(modelFilePath))
@@ -169,7 +169,7 @@ export default function App() {
                 log('Start Download Model to:')
                 log(filterPath(modelFilePath))
                 await RNFS.downloadFile({
-                  fromUrl: `${modelHost}/ggml-tiny.en.bin`,
+                  fromUrl: `${modelHost}/ggml-base.bin`,
                   toFile: modelFilePath,
                   progressInterval: 1000,
                   begin: () => {},
@@ -180,7 +180,7 @@ export default function App() {
               }
 
               // If you don't want to enable Core ML, you can remove this
-              const coremlModelFilePath = `${fileDir}/ggml-tiny.en-encoder.mlmodelc.zip`
+              const coremlModelFilePath = `${fileDir}/ggml-base-encoder.mlmodelc.zip`
               if (
                 Platform.OS === 'ios' &&
                 (await RNFS.exists(coremlModelFilePath))
@@ -191,7 +191,7 @@ export default function App() {
                 log('Start Download Core ML Model to:')
                 log(filterPath(coremlModelFilePath))
                 await RNFS.downloadFile({
-                  fromUrl: `${modelHost}/ggml-tiny.en-encoder.mlmodelc.zip`,
+                  fromUrl: `${modelHost}/ggml-base-encoder.mlmodelc.zip`,
                   toFile: coremlModelFilePath,
                   progressInterval: 1000,
                   begin: () => {},
@@ -279,7 +279,10 @@ export default function App() {
                 await createDir(log)
                 const { stop, subscribe } =
                   await whisperContext.transcribeRealtime({
+                    maxLen: 1,
                     language: 'en',
+                    // Enable beam search (may be slower than greedy but more accurate)
+                    // beamSize: 2,
                     // Record duration in seconds
                     realtimeAudioSec: 60,
                     // Slice audio into 25 (or < 30) sec chunks for better performance
diff --git a/example/src/context-opts.ios.ts b/example/src/context-opts.ios.ts
index f0784b9..39a1057 100644
--- a/example/src/context-opts.ios.ts
+++ b/example/src/context-opts.ios.ts
@@ -6,11 +6,11 @@ export default {
   coreMLModelAsset:
     Platform.OS === 'ios'
       ? {
-          filename: 'ggml-tiny.en-encoder.mlmodelc',
+          filename: 'ggml-base-encoder.mlmodelc',
           assets: [
-            require('../assets/ggml-tiny.en-encoder.mlmodelc/weights/weight.bin'),
-            require('../assets/ggml-tiny.en-encoder.mlmodelc/model.mil'),
-            require('../assets/ggml-tiny.en-encoder.mlmodelc/coremldata.bin'),
+            require('../assets/ggml-base-encoder.mlmodelc/weights/weight.bin'),
+            require('../assets/ggml-base-encoder.mlmodelc/model.mil'),
+            require('../assets/ggml-base-encoder.mlmodelc/coremldata.bin'),
           ],
         }
       : undefined,
diff --git a/scripts/bootstrap.sh b/scripts/bootstrap.sh
index db1add9..3d5c6fb 100755
--- a/scripts/bootstrap.sh
+++ b/scripts/bootstrap.sh
@@ -83,21 +83,21 @@ cd whisper.cpp/models
 
 # If CI env is `true`, use dummy model
 if [ "$CI" = "true" ]; then
-  cp for-tests-ggml-tiny.en.bin ggml-tiny.en.bin
-  echo "CI: Copied for-tests-ggml-tiny.en.bin to ggml-tiny.en.bin"
+  cp for-tests-ggml-base.bin ggml-base.bin
+  echo "CI: Copied for-tests-ggml-base.bin to ggml-base.bin"
 else
-  ./download-ggml-model.sh tiny.en
+  ./download-ggml-model.sh base
 fi
 
 # Copy to assets
 cp ../samples/jfk.wav ../../example/assets
-cp ggml-tiny.en.bin ../../example/assets
-echo "Copied ggml-tiny.en.bin to example/assets"
+cp ggml-base.bin ../../example/assets
+echo "Copied ggml-base.bin to example/assets"
 
-# Check whisper.cpp/models/ggml-tiny.en-encoder.mlmodelc exist
-if [ ! -d ./ggml-tiny.en-encoder.mlmodelc ]; then
-  URL=https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.en-encoder.mlmodelc.zip
-  FILE=ggml-tiny.en-encoder.mlmodelc.zip
+# Check whisper.cpp/models/ggml-base-encoder.mlmodelc exist
+if [ ! -d ./ggml-base-encoder.mlmodelc ]; then
+  URL=https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base-encoder.mlmodelc.zip
+  FILE=ggml-base-encoder.mlmodelc.zip
 
   if [ -x "$(command -v wget)" ]; then
     wget --no-config --quiet --show-progress -O $FILE $URL
@@ -112,6 +112,6 @@ if [ ! -d ./ggml-tiny.en-encoder.mlmodelc ]; then
   rm $FILE
 fi
 
-if [ ! -d ../../example/assets/ggml-tiny.en-encoder.mlmodelc ]; then
-  cp -r ./ggml-tiny.en-encoder.mlmodelc ../../example/assets/
+if [ ! -d ../../example/assets/ggml-base-encoder.mlmodelc ]; then
+  cp -r ./ggml-base-encoder.mlmodelc ../../example/assets/
 fi