try to recreate the code

src/generate.py

@@ -7,8 +7,8 @@ import src.process as process
 # You can choose to use either:
 # (1) a list of pre-specified sentences, in SENTENCE_BANK
 # (2) an LLM-generated sentence.
-# SENTENCE_BANK is used in the gen_sentence_set function.
-# LLM generation is used in the gen_sentence_llm function.
+# SENTENCE_BANK is used in the `gen_sentence_set` function.
+# LLM generation is used in the `gen_sentence_llm` function.
 
 # ------------------- Sentence Bank (customize freely) -------------------
 SENTENCE_BANK = [
@@ -42,4 +42,4 @@ def gen_sentence_llm():
 
 def gen_sentence_set():
     """Returns a sentence for the user to say using a prespecified set of options."""
-    return random.choice(SENTENCE_BANK)
+    return random.choice(SENTENCE_BANK)

src/tts.py

@@ -1,3 +1,4 @@
+# src/tts.py
 from __future__ import annotations
 from typing import Tuple, Union
 
@@ -23,7 +24,6 @@ def run_tts_clone(
 ) -> Union[Tuple[int, np.ndarray], Exception]:
     """
     Synthesize 'text_to_speak' in the cloned voice from 'ref_audio_path'.
-
     Returns:
         (sampling_rate, waveform) on success, or Exception on failure.
     """
@@ -39,4 +39,4 @@ def run_tts_clone(
         wav = audio["array"].astype(np.float32)
         return sr, wav
     except Exception as e:
-        return e
+        return e