From f213b229b8151a3dbc05561a8a833153b99dd4c4 Mon Sep 17 00:00:00 2001
From: davabase <thedavabase@gmail.com>
Date: Tue, 3 Oct 2023 11:21:17 -0700
Subject: [PATCH] Formatting and spelling fixes.

---
 transcribe_demo.py | 26 +++++++++++++-------------
 1 file changed, 13 insertions(+), 13 deletions(-)

diff --git a/transcribe_demo.py b/transcribe_demo.py
index 6dd8972..14ec910 100644
--- a/transcribe_demo.py
+++ b/transcribe_demo.py
@@ -26,33 +26,33 @@ def main():
                         help="How real time the recording is in seconds.", type=float)
     parser.add_argument("--phrase_timeout", default=3,
                         help="How much empty space between recordings before we "
-                             "consider it a new line in the transcription.", type=float)  
+                             "consider it a new line in the transcription.", type=float)
     if 'linux' in platform:
         parser.add_argument("--default_microphone", default='pulse',
                             help="Default microphone name for SpeechRecognition. "
                                  "Run this with 'list' to view available Microphones.", type=str)
     args = parser.parse_args()
-    
-    # The last time a recording was retreived from the queue.
+
+    # The last time a recording was retrieved from the queue.
     phrase_time = None
     # Current raw audio bytes.
     last_sample = bytes()
     # Thread safe Queue for passing data from the threaded recording callback.
     data_queue = Queue()
-    # We use SpeechRecognizer to record our audio because it has a nice feauture where it can detect when speech ends.
+    # We use SpeechRecognizer to record our audio because it has a nice feature where it can detect when speech ends.
     recorder = sr.Recognizer()
     recorder.energy_threshold = args.energy_threshold
-    # Definitely do this, dynamic energy compensation lowers the energy threshold dramtically to a point where the SpeechRecognizer never stops recording.
+    # Definitely do this, dynamic energy compensation lowers the energy threshold dramatically to a point where the SpeechRecognizer never stops recording.
     recorder.dynamic_energy_threshold = False
-    
-    # Important for linux users. 
+
+    # Important for linux users.
     # Prevents permanent application hang and crash by using the wrong Microphone
     if 'linux' in platform:
         mic_name = args.default_microphone
         if not mic_name or mic_name == 'list':
             print("Available microphone devices are: ")
             for index, name in enumerate(sr.Microphone.list_microphone_names()):
-                print(f"Microphone with name \"{name}\" found")   
+                print(f"Microphone with name \"{name}\" found")
             return
         else:
             for index, name in enumerate(sr.Microphone.list_microphone_names()):
@@ -61,7 +61,7 @@ def main():
                     break
     else:
         source = sr.Microphone(sample_rate=16000)
-        
+
     # Load / Download model
     model = args.model
     if args.model != "large" and not args.non_english:
@@ -73,13 +73,13 @@ def main():
 
     temp_file = NamedTemporaryFile().name
     transcription = ['']
-    
+
     with source:
         recorder.adjust_for_ambient_noise(source)
 
     def record_callback(_, audio:sr.AudioData) -> None:
         """
-        Threaded callback function to recieve audio data when recordings finish.
+        Threaded callback function to receive audio data when recordings finish.
         audio: An AudioData containing the recorded bytes.
         """
         # Grab the raw bytes and push it into the thread safe queue.
@@ -124,7 +124,7 @@ def main():
                 result = audio_model.transcribe(temp_file, fp16=torch.cuda.is_available())
                 text = result['text'].strip()
 
-                # If we detected a pause between recordings, add a new item to our transcripion.
+                # If we detected a pause between recordings, add a new item to our transcription.
                 # Otherwise edit the existing one.
                 if phrase_complete:
                     transcription.append(text)
@@ -149,4 +149,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
\ No newline at end of file
+    main()