small fixes

frontend/core.py

@@ -5,6 +5,7 @@ from faster_whisper import WhisperModel
 import torch
 import time
 import numpy as np
+import re
 
 
 
@@ -84,7 +85,7 @@ class Core:
 
         self.assistant_running = True
 
-        while self.assistant_running:
+        while True:
             if self.vad_rec.speech:
                 last_recog_time = time.perf_counter()
 
@@ -114,8 +115,6 @@ class Core:
 
 
 
-
-
             elif time.perf_counter() - last_recog_time > self.speech_recog_timeout and len(speech_recog_text) > 0:
                 speech_recog_text = speech_recog_text.strip()
 
@@ -130,6 +129,18 @@ class Core:
 
                 gpt_response = self.gpt_wrap.get_response(speech_recog_text)
 
+                # separate long sequences of numbers in text string (for example 123456789) into packets of 3 (123 456 789)
+                gpt_response = re.sub(r"(\d{3})(?=\d)", r"\1 ", gpt_response)
+
+                # Add space on the right side of numbers
+                gpt_response = re.sub(r'(\d)([^\d\s])', r'\1 \2', gpt_response)
+                # Add space on the left side of numbers
+                gpt_response = re.sub(r'([^\d\s])(\d)', r'\1 \2', gpt_response)
+
+                # replace "ul." with "ulica" (non case sensitive)
+                gpt_response = re.sub(r"ul\.", "ulica", gpt_response, flags=re.IGNORECASE)
+
+
                 print("-----------------------------------------")
                 if self.use_chatgpt_placeholder:
                     print("!!!!! CHATGPT PLACEHOLDER RESPONSE !!!!!!")
@@ -159,6 +170,9 @@ class Core:
 
             time.sleep(0.01)
 
+            if not self.assistant_running:
+                break
+
         # set assistant_running back to True to indicate that the loop has exited
 
     def assistant_stop(self):