Merge pull request #268 from NexaAI/zack-dev

Disable bark.cpp

.github/workflows/generate-index-from-release.yaml

@@ -3,7 +3,7 @@ name: Wheels Index
 on:
   # Trigger on new release
   workflow_run:
-    workflows: ["Release", "Build Wheels (CUDA)", "Build Wheels (Metal)", "Build Wheels (ROCm)", "Build Wheels (Vulkan)"]
+    workflows: ["Build Wheels (CPU)", "Build Wheels (CUDA)", "Build Wheels (Metal)", "Build Wheels (ROCm)", "Build Wheels (Vulkan)"]
     types:
       - completed
 

CMakeLists.txt

@@ -188,7 +188,8 @@ if(LLAMA_BUILD)
 endif()
 
 # bark_cpp project
-option(BARK_BUILD "Build bark.cpp" ON)
+# Temporarily disabled since version v0.0.9.3
+option(BARK_BUILD "Build bark.cpp" OFF)
 if(BARK_BUILD)
     # Filter out HIPBLAS and Vulkan options for bark.cpp since it doesn't support them
     set(BARK_CMAKE_OPTIONS ${USER_DEFINED_OPTIONS})

nexa/cli/entry.py

@@ -120,8 +120,10 @@ def run_ggml_inference(args):
             from nexa.gguf.nexa_inference_voice import NexaVoiceInference
             inference = NexaVoiceInference(model_path=model_path, local_path=local_path, **kwargs)
         elif run_type == "TTS":
-            from nexa.gguf.nexa_inference_tts import NexaTTSInference
-            inference = NexaTTSInference(model_path=model_path, local_path=local_path, **kwargs)
+            # # Temporarily disabled since version v0.0.9.3
+            raise NotImplementedError("TTS model is not supported in CLI mode.")
+            # from nexa.gguf.nexa_inference_tts import NexaTTSInference
+            # inference = NexaTTSInference(model_path=model_path, local_path=local_path, **kwargs)
         elif run_type == "AudioLM":
             from nexa.gguf.nexa_inference_audio_lm import NexaAudioLMInference
             inference = NexaAudioLMInference(model_path=model_path, local_path=local_path, **kwargs)

nexa/gguf/__init__.py

@@ -2,13 +2,15 @@
 from .nexa_inference_text import NexaTextInference
 from .nexa_inference_vlm import NexaVLMInference
 from .nexa_inference_voice import NexaVoiceInference
-from .nexa_inference_tts import NexaTTSInference
+
+# Temporarily disabled since version v0.0.9.3
+# from .nexa_inference_tts import NexaTTSInference
 
 __all__ = [
     "NexaImageInference",
     "NexaTextInference",
     "NexaVLMInference",
     "NexaVoiceInference",
-    "NexaTTSInference",
+    #"NexaTTSInference",
     "NexaAudioLMInference"
 ]

tests/test_tts_generation.py

@@ -1,22 +1,24 @@
-from nexa.gguf import NexaTTSInference
+# Temporarily disabled since version v0.0.9.3
 
-def test_tts_generation():
-    tts = NexaTTSInference(
-        model_path="bark-small",
-        local_path=None,
-        n_threads=4,
-        seed=42,
-        sampling_rate=24000,
-        verbosity=2
-    )
+# from nexa.gguf import NexaTTSInference
+
+# def test_tts_generation():
+#     tts = NexaTTSInference(
+#         model_path="bark-small",
+#         local_path=None,
+#         n_threads=4,
+#         seed=42,
+#         sampling_rate=24000,
+#         verbosity=2
+#     )
 
-    # Generate audio from prompt
-    prompt = "Hello, this is a test of the Bark text to speech system."
-    audio_data = tts.audio_generation(prompt)
+#     # Generate audio from prompt
+#     prompt = "Hello, this is a test of the Bark text to speech system."
+#     audio_data = tts.audio_generation(prompt)
 
-    # Save the generated audio
-    tts._save_audio(audio_data, tts.sampling_rate, "tts_output")
-    print("TTS generation test completed successfully!")
+#     # Save the generated audio
+#     tts._save_audio(audio_data, tts.sampling_rate, "tts_output")
+#     print("TTS generation test completed successfully!")
 
-if __name__ == "__main__":
-    test_tts_generation()
+# if __name__ == "__main__":
+#     test_tts_generation()