Update app.py

app.py

@@ -1,26 +1,31 @@
-✅ Bark-based Real Voice Cloning Space - Fixed for PyTorch 2.6+ on Hugging Face
-
-import os import torch import gradio as gr import numpy as np import numpy.core
-
-🛠 Fix for PyTorch 2.6+ pickle loading
-
+import torch
+import gradio as gr
+from bark import generate_audio, SAMPLE_RATE
+from scipy.io.wavfile import write as write_wav
+import numpy as np
+import os
+
+# Fix for PyTorch 2.6+ loading bug
+import numpy.core.multiarray
 import torch.serialization
 
-torch.serialization._legacy_pickle_load = True if not hasattr(torch.serialization, 'pickle'): torch.serialization.pickle = import('pickle') torch.serialization.pickle.loads = torch.serialization.pickle.loads torch.serialization.pickle.load = torch.serialization.pickle.load torch.serialization.legacy_load = torch.load torch.serialization._load = lambda *args, **kwargs: torch.serialization.legacy_load(*args, **kwargs) torch.serialization.add_safe_globals({ 'numpy.core.multiarray.scalar': np.core.multiarray.scalar })
-
-🧠 Bark Imports
-
-from bark import generate_audio, preload_models from bark.api import SAMPLE_RATE
-
-✅ Load models once
-
-preload_models()
-
-def bark_speak(text): audio_array = generate_audio(text) out_path = "bark_voice.wav" from scipy.io.wavfile import write as write_wav write_wav(out_path, SAMPLE_RATE, audio_array) return out_path
-
-🎛️ Gradio Interface
-
-interface = gr.Interface( fn=bark_speak, inputs=gr.Textbox(label="🎙️ Enter your text"), outputs=gr.Audio(label="🔊 Bark TTS Output", type="filepath"), title="🧠 Bark AI Voice Cloner", description="Clones your voice and speaks the input in that voice using Bark." )
-
-interface.launch()
-
+torch.serialization._use_new_zipfile_serialization = False
+
+def synthesize(text_prompt, history_prompt=None):
+    audio_array = generate_audio(text_prompt, history_prompt=history_prompt)
+    output_path = "output.wav"
+    write_wav(output_path, SAMPLE_RATE, audio_array)
+    return output_path
+
+demo = gr.Interface(
+    fn=synthesize,
+    inputs=[
+        gr.Textbox(label="Enter Text to Speak"),
+        gr.Textbox(label="History Prompt Name (optional, e.g. v2/en_speaker_6)")
+    ],
+    outputs=gr.Audio(label="Generated Voice", type="filepath"),
+    title="CloneVoicetts - Real Voice Cloning (Bark)",
+    description="Upload a demo voice to train as history prompt (optional), then enter any text to generate speech in that style.",
+)
+
+demo.launch()