Update app.py

app.py

@@ -113,14 +113,17 @@ async def paragraph_to_speech(text, voice, rate, pitch):
                 current_voice = (voice or default_voice).split(" - ")[0]
                 processed_text=part[:]
                 # Step 1: Use regex to find the first number, possibly negative, after a prefix (e.g., F-)
-            match = re.search(r'(?<=\D)-?\d+', part)  # Look behind for non-digit before number
-            if match: 
-                match = re.search(r'-?\d+', part)  
-                current_pitch = int(match.group())  # Extract and convert the number to an integer
-                # Remove only the first integer found
+            #match = re.search(r'[A-Za-z]\d+', part)  # Look for a letter followed by one or more digits
+            match = re.search(r'[A-Za-z]+\-?\d+', part)  # Look for a letter(s) followed by an optional '-' and digits
+            if match:
+                # Extract the prefix (e.g., '2F') and number (e.g., '-20')
+                prefix = ''.join([ch for ch in match.group() if ch.isalpha()])  # Extract letters (prefix)
+                number = int(''.join([ch for ch in match.group() if ch.isdigit() or ch == '-']))  # Extract digits (number)
+                current_pitch = number
                 # Step 2: Remove the found number from the string
-                new_text = re.sub(r'(?<=\D)-?\d+', '', part, count=1).strip()
-                processed_text = new_text[2:]  #cut out the prefix like 1F, 3M etc
+                new_text = re.sub(r'[A-Za-z]+\-?\d+', '', part, count=1).strip()  # Remove prefix and number (e.g., '2F-20')
+                #processed_text = new_text[2:]  #cut out the prefix like 1F, 3M etc
+                processed_text = new_text[len(prefix):]  # Dynamically remove the prefix part
             else:
                 processed_text = part[2:]
             rate_str = f"{current_rate:+d}%"