Update app.py

app.py

@@ -8,16 +8,11 @@ import asyncio
 import os
 import tempfile
 from pathlib import Path
-from gradio.data_classes import FileData
+import shutil
 
-# Create necessary directories
-OUTPUTS_DIR = Path(__file__).parent / "outputs"
-TEMP_DIR = Path(__file__).parent / "temp"
-UPLOAD_DIR = Path(__file__).parent / "uploaded"
-
-# Ensure directories exist
-for directory in [OUTPUTS_DIR, TEMP_DIR, UPLOAD_DIR]:
-    directory.mkdir(exist_ok=True)
+# Ensure upload directory exists
+UPLOAD_DIR = os.path.join(os.path.dirname(__file__), "upload")
+os.makedirs(UPLOAD_DIR, exist_ok=True)
 
 async def convert_tts(model_name, audio_file, slang_rate):
     if audio_file is None:
@@ -40,9 +35,9 @@ async def convert_tts(model_name, audio_file, slang_rate):
         if audio_output is None:
             return {"error": "No audio output generated"}, None
 
-        # Save output to a file in the outputs directory
+        # Save output to temporary file
         output_filename = f"output_{os.urandom(4).hex()}.wav"
-        output_path = str(OUTPUTS_DIR / output_filename)
+        output_path = os.path.join(UPLOAD_DIR, output_filename)
 
         try:
             if isinstance(audio_output, np.ndarray):
@@ -72,7 +67,7 @@ iface = gr.Interface(
     fn=convert_tts,
     inputs=[
         gr.Dropdown(choices=get_models(), label="Model", interactive=True),
-        gr.Audio(label="Upload Audio", type="filepath"),  # Removed source parameter
+        gr.Audio(label="Upload Audio", type="filepath"),
         gr.Slider(minimum=0, maximum=1, step=0.01, label="Slang Rate"),
     ],
     outputs=[
@@ -90,5 +85,5 @@ if __name__ == "__main__":
         debug=True,
         show_error=True,
         max_threads=10,
-        share=False  # Set to True if you want to create a public link
+        share=False
     )