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llamacpp:integrate ggml's excellent and amazing llama.cpp to kantv (#104
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57 changes: 33 additions & 24 deletions
57
cdeosplayer/cdeosplayer-lib/src/main/java/org/ggml/whispercpp/whispercpp.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,37 +1,46 @@ | ||
| //TODO: re-write entire whispercpp.java with standard Android JNI specification | ||
| // interaction between KANTVMgr.java and whispercpp.java | ||
| // TODO: 03-05-2024, re-write entire whispercpp.java with standard Android JNI specification | ||
| // TODO: 03-26-2024, rename this file to ggmljni to unify the JNI of whisper.cpp and llama.cpp, as these projects are all based on ggml | ||
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| package org.ggml.whispercpp; | ||
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| public class whispercpp { | ||
| private static final String TAG = whispercpp.class.getName(); | ||
| private static final String TAG = whispercpp.class.getName(); | ||
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| public static final int WHISPER_ASR_MODE_NORMAL = 0; | ||
| public static final int WHISPER_ASR_MODE_PRESURETEST = 1; | ||
| public static final int WHISPER_ASR_MODE_BECHMARK = 2; | ||
| public static final int WHISPER_ASR_MODE_NORMAL = 0; | ||
| public static final int WHISPER_ASR_MODE_PRESURETEST = 1; | ||
| public static final int WHISPER_ASR_MODE_BECHMARK = 2; | ||
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| public static native int asr_init(String strModelPath, int nThreadCounts, int nASRMode); | ||
| public static native int asr_init(String strModelPath, int nThreadCounts, int nASRMode); | ||
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| public static native void asr_finalize(); | ||
| public static native void asr_finalize(); | ||
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| public static native void asr_start(); | ||
| public static native void asr_stop(); | ||
| public static native int asr_reset(String strModelPath, int nThreadCounts, int nASRMode); | ||
| public static native void asr_start(); | ||
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| public static native String get_systeminfo(); | ||
| public static native void asr_stop(); | ||
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| public static native int get_cpu_core_counts(); | ||
| public static native int asr_reset(String strModelPath, int nThreadCounts, int nASRMode); | ||
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| //TODO: not work as expected, just skip this during PoC stage | ||
| public static native void set_benchmark_status(int bExitBenchmark); | ||
| public static native String asr_get_systeminfo(); | ||
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| /** | ||
| * | ||
| * @param modelPath /sdcard/kantv/ggml-xxxxx.bin | ||
| * @param audioPath /sdcard/kantv/jfk.wav | ||
| * @param nBenchType 0: asr 1: memcpy 2: mulmat 3: full/whisper_encode | ||
| * @param nThreadCounts 1 - 8 | ||
| * @return | ||
| */ | ||
| public static native String bench(String modelPath, String audioPath, int nBenchType, int nThreadCounts); | ||
| public static native int get_cpu_core_counts(); | ||
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| //TODO: not work as expected | ||
| public static native void asr_set_benchmark_status(int bExitBenchmark); | ||
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| /** | ||
| * @param modelPath /sdcard/kantv/ggml-xxxxx.bin | ||
| * @param audioPath /sdcard/kantv/jfk.wav | ||
| * @param nBenchType 0: asr(transcription) 1: memcpy 2: mulmat 3: full/whisper_encode | ||
| * @param nThreadCounts 1 - 8 | ||
| * @return | ||
| */ | ||
| public static native String asr_bench(String modelPath, String audioPath, int nBenchType, int nThreadCounts); | ||
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| public static native String llm_get_systeminfo(); | ||
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| public static native String llm_bench(String modelPath, String prompt, int nBenchType, int nThreadCounts); | ||
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| public static native String llm_inference(String modelPath, String prompt, int nBenchType, int nThreadCounts); | ||
| } |
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I still don't know/have no ide how llama.cpp is really used in project kantv like whisper.cpp based real-time subtitle in online tv.
a GPT-style chat tool?
sometimes the LLM model's answers are wildly incorrect.
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another question:
how LLAMA handle picture/video? is LLAMA a multimodal large model?