Revert "Apply previous window conditioning to decoding layer"

This reverts commit cece1ee8f1b985c2a89adb661dd02c6d44787f67.

This does *not* in fact result in improved temporal stability. It makes
makes things so unstable that even single-sentence messages fail to
ever stabilize.

1 files changed, 5 insertions, 9 deletions

diff --git a/Scripts/transcribe.py b/Scripts/transcribe.py
index b6c4863..c4d7682 100644
--- a/Scripts/transcribe.py
+++ b/Scripts/transcribe.py
@@ -48,7 +48,6 @@ class AudioState:
         self.stream = None
 
         self.text = ""
-        self.tokens = []
         self.committed_text = ""
         self.frames = []
 
@@ -198,7 +197,7 @@ def resetAudio(audio_state):
     audio_state.transcribe_lock.release()
 
 # Transcribe the audio recorded in a file.
-def transcribe(audio_state, model, frames, use_cpu: bool, prev_tokens = []):
+def transcribe(audio_state, model, frames, use_cpu: bool):
     start_time = time.time()
 
     frames = audio_state.frames
@@ -221,7 +220,7 @@ def transcribe(audio_state, model, frames, use_cpu: bool, prev_tokens = []):
         use_gpu = not use_cpu
         options = whisper.DecodingOptions(language = audio_state.language,
                 beam_size = 5, temperature = temp, without_timestamps = True,
-                fp16 = use_gpu, prompt = prev_tokens)
+                fp16 = use_gpu)
         result = whisper.decode(model, mel, options)
 
         if result.avg_logprob < -1.0:
@@ -239,7 +238,7 @@ def transcribe(audio_state, model, frames, use_cpu: bool, prev_tokens = []):
             result = None
             continue
 
-        result = (result.text, result.tokens)
+        result = result.text
         break
 
     return result
@@ -267,13 +266,11 @@ def transcribeAudio(audio_state, model, use_cpu: bool):
                     audio_state.transcribe_sleep_duration_max_s,
                     longer_sleep_dur)
 
-        result = transcribe(audio_state, model, audio_state.frames, use_cpu,
-                audio_state.tokens)
-        if not result:
+        text = transcribe(audio_state, model, audio_state.frames, use_cpu)
+        if not text:
             print("no transcription, spin ({} seconds)".format(time.time() - last_transcribe_time))
             last_transcribe_time = time.time()
             continue
-        text, tokens = result
 
         if audio_state.drop_transcription:
             audio_state.drop_transcription = False
@@ -287,7 +284,6 @@ def transcribeAudio(audio_state, model, use_cpu: bool):
 
         audio_state.text = string_matcher.matchStrings(audio_state.text,
                 text, window_size = 25)
-        audio_state.tokens = tokens
 
         now = time.time()
         print("Transcription ({} seconds): {}".format(