add max_gen_duration_s to waveform generation

bark/api.py

@@ -38,6 +38,7 @@ def semantic_to_waveform(
     temp: float = 0.7,
     silent: bool = False,
     output_full: bool = False,
+    max_gen_duration_s=None,
 ):
     """Generate audio array from semantic input.
 
@@ -47,6 +48,7 @@ def semantic_to_waveform(
         temp: generation temperature (1.0 more diverse, 0.0 more conservative)
         silent: disable progress bar
         output_full: return full generation to be used as a history prompt
+        max_gen_duration_s: maximum duration of generated audio in seconds
 
     Returns:
         numpy audio array at sample frequency 24khz
@@ -56,7 +58,8 @@ def semantic_to_waveform(
         history_prompt=history_prompt,
         temp=temp,
         silent=silent,
-        use_kv_caching=True
+        use_kv_caching=True,
+        max_gen_duration_s=max_gen_duration_s,
     )
     fine_tokens = generate_fine(
         coarse_tokens,

bark/generation.py

@@ -538,6 +538,7 @@ def generate_coarse(
     max_coarse_history=630,  # min 60 (faster), max 630 (more context)
     sliding_window_len=60,
     use_kv_caching=False,
+    max_gen_duration_s=None,
 ):
     """Generate coarse audio codes from semantic tokens."""
     assert (
@@ -605,6 +606,17 @@ def generate_coarse(
             * N_COARSE_CODEBOOKS
         )
     )
+
+    if max_gen_duration_s is not None:
+        n_steps = min(
+            n_steps,
+            int(
+                np.floor(
+                    round(max_gen_duration_s * COARSE_RATE_HZ)
+                ) * N_COARSE_CODEBOOKS
+            )
+        )
+
     assert n_steps > 0 and n_steps % N_COARSE_CODEBOOKS == 0
     x_semantic = np.hstack([x_semantic_history, x_semantic]).astype(np.int32)
     x_coarse = x_coarse_history.astype(np.int32)

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "suno-bark"
-version = "0.0.1a"
+version = "0.1.0"
 description = "Bark text to audio model"
 readme = "README.md"
 requires-python = ">=3.8"