make kv caching default in inference

bark/api.py

@@ -10,7 +10,6 @@ def text_to_semantic(
     history_prompt: Optional[str] = None,
     temp: float = 0.7,
     silent: bool = False,
-    use_kv_caching = False,
 ):
     """Generate semantic array from text.
 
@@ -28,7 +27,7 @@ def text_to_semantic(
         history_prompt=history_prompt,
         temp=temp,
         silent=silent,
-        use_kv_caching=use_kv_caching
+        use_kv_caching=True
     )
     return x_semantic
 
@@ -39,7 +38,6 @@ def semantic_to_waveform(
     temp: float = 0.7,
     silent: bool = False,
     output_full: bool = False,
-    use_kv_caching = False
 ):
     """Generate audio array from semantic input.
 
@@ -58,7 +56,7 @@ def semantic_to_waveform(
         history_prompt=history_prompt,
         temp=temp,
         silent=silent,
-        use_kv_caching=use_kv_caching
+        use_kv_caching=True
     )
     fine_tokens = generate_fine(
         coarse_tokens,
@@ -92,7 +90,6 @@ def generate_audio(
     waveform_temp: float = 0.7,
     silent: bool = False,
     output_full: bool = False,
-    use_kv_caching = False
 ):
     """Generate audio array from input text.
 
@@ -108,7 +105,10 @@ def generate_audio(
         numpy audio array at sample frequency 24khz
     """
     semantic_tokens = text_to_semantic(
-        text, history_prompt=history_prompt, temp=text_temp, silent=silent, use_kv_caching=use_kv_caching
+        text,
+        history_prompt=history_prompt,
+        temp=text_temp,
+        silent=silent,
     )
     out = semantic_to_waveform(
         semantic_tokens,
@@ -116,7 +116,6 @@ def generate_audio(
         temp=waveform_temp,
         silent=silent,
         output_full=output_full,
-        use_kv_caching=use_kv_caching
     )
     if output_full:
         full_generation, audio_arr = out