rev

recipes/llm-voice-assistant/README.md

@@ -6,7 +6,7 @@ Hands-free voice assistant powered by a large language model (LLM), all voice re
 
 - [Porcupine Wake Word](https://picovoice.ai/docs/porcupine/)
 - [Cheetah Streaming Speech-to-Text](https://picovoice.ai/docs/cheetah/)
-- [picoLLM Inference Engine]()
+- [picoLLM Inference Engine](https://github.com/Picovoice/picollm)
 - [Orca Streaming Text-to-Speech](https://picovoice.ai/docs/orca/)
 
 ## Implementations

recipes/llm-voice-assistant/python/README.md

@@ -1,7 +1,7 @@
 ## Compatibility
 
 - Python 3.8+
-- Runs on Linux (x86_64), macOS (arm64, x86_64), Windows (x86_64), and Raspberry Pi (5, 4, and 3).
+- Runs on Linux (x86_64), macOS (arm64, x86_64), Windows (x86_64), and Raspberry Pi (5 and 4).
 
 ## AccessKey
 

recipes/llm-voice-assistant/python/main.py

@@ -25,10 +25,10 @@ def __init__(self, sample_rate: int) -> None:
         self._tick_sec = 0.
 
     def tick(self) -> None:
-        self._tick_sec = time.time()
+        self._tick_sec = time.perf_counter()
 
     def tock(self, audio: Optional[Sequence[int]] = None) -> None:
-        self._compute_sec += time.time() - self._tick_sec
+        self._compute_sec += time.perf_counter() - self._tick_sec
         self._audio_sec += (len(audio) / self._sample_rate) if audio is not None else 0.
 
     def rtf(self) -> float:
@@ -45,12 +45,12 @@ def __init__(self) -> None:
 
     def tock(self) -> None:
         if self._start_sec == 0.:
-            self._start_sec = time.time()
+            self._start_sec = time.perf_counter()
         else:
             self._num_tokens += 1
 
     def tps(self) -> float:
-        tps = self._num_tokens / (time.time() - self._start_sec)
+        tps = self._num_tokens / (time.perf_counter() - self._start_sec)
         self._num_tokens = 0
         self._start_sec = 0.
         return tps
@@ -102,7 +102,7 @@ def buffer_pcm(x: Optional[Sequence[int]]) -> None:
         if x is not None:
             pcm_buffer.extend(x)
             if delay_sec[0] == -1:
-                delay_sec[0] = time.time() - utterance_end_sec
+                delay_sec[0] = time.perf_counter() - utterance_end_sec
 
     while True:
         if synthesize and len(texts) > 0:
@@ -294,7 +294,7 @@ def handler(_, __) -> None:
                 print(partial_transcript, end='', flush=True)
                 user_request += partial_transcript
                 if endpoint_reached:
-                    utterance_end_sec = time.time()
+                    utterance_end_sec = time.perf_counter()
                     cheetah_profiler.tick()
                     remaining_transcript = cheetah.flush()
                     cheetah_profiler.tock()