add app

app.py

@@ -1,24 +1,15 @@
 import gradio as gr
-from transformers import pipeline, AutoProcessor
+from transformers import pipeline
 import numpy as np
 
-# Initialize the model and processor
-processor = AutoProcessor.from_pretrained("suno/bark-small")
+# Initialize the model
 pipe = pipeline(model="suno/bark-small")
 
 def text_to_speech(text):
-    # Prepare the input with proper attention mask
-    inputs = processor(
-        text,
-        return_tensors="pt",
-        padding=True,
-        return_attention_mask=True
-    )
-    
     # Generate audio from text
     output = pipe(
         text,
-        attention_mask=inputs.attention_mask
+        return_attention_mask=True
     )
     
     # Normalize and scale audio to int16 range