verbose

README.md

@@ -1,5 +1,31 @@
 # 🗣️ ✍️ 💾
 
-```
 STT terminal utility based on openai-whisper and pyaudio
+
+```
+git clone --recurse-submodules <git-repo>
+```
+
+```
+usage: ./transcriptum.sh [action]
+where action can be: [install, clean, run]
+```
+
+```
+usage: transcribe.py [-h] [--model {tiny,base,small,medium,large}] [--rms RMS]
+                     [--record_timeout RECORD_TIMEOUT]
+                     [--phrase_timeout PHRASE_TIMEOUT] [--dynamic_threshold]
+
+TRANSCRIPTUM
+
+options:
+  -h, --help            show this help message and exit
+  --model {tiny,base,small,medium,large}
+                        Whisper model
+  --rms RMS             RMS (energy) threshold for microphone to detect
+  --record_timeout RECORD_TIMEOUT
+                        Timeout for the microphone recording
+  --phrase_timeout PHRASE_TIMEOUT
+                        Silence timeout between phrases
+  --dynamic_threshold   Use dynamic rms threshold?
 ```

transcribe.py

@@ -21,7 +21,7 @@ state = State.IDLE
 
 def main():
 	p = argparse.ArgumentParser(description="TRANSCRIPTUM")
-	p.add_argument("--model", default="medium", help="Whisper model", choices=["tiny", "base", "small", "medium", "large"])
+	p.add_argument("--model", default="small", help="Whisper model", choices=["tiny", "base", "small", "medium", "large"])
 	p.add_argument("--rms", default=1000, help="RMS (energy) threshold for microphone to detect", type=int)	
 	p.add_argument("--record_timeout", default=8, help="Timeout for the microphone recording", type=float)	
 	p.add_argument("--phrase_timeout", default=2, help="Silence timeout between phrases", type=float)