Update app.py

app.py

@@ -443,21 +443,13 @@ language_dict = {
   }
 }
 
-def process_audio(file):
-    # Extract the temp file path
-    temp_file_path = file.name
-
-    return create_download_link(temp_file_path)  # Return the working download link
-
 def create_download_link(audio_path):
     if audio_path is None:
         return None
-    
-    filename = Path(audio_path).name
 
-    # Get the full Hugging Face URL for the file
+    filename = Path(audio_path).name
     base_url = "https://hivecorp-w-t-p-01.hf.space"  # Replace with your Hugging Face Space URL
-    file_url = f"{base_url}/gradio_api/file={audio_path}"
+    file_url = f"{base_url}/gradio_api/file={audio_path}"  # Correct file path
 
     return f"""
     <a href="{file_url}" target="_blank" download="{filename}">
@@ -469,12 +461,14 @@ async def text_to_speech_edge(text, language_code, speaker, tashkeel_checkbox=Fa
     # Define the character limit
     char_limit = 100000000
     if len(text) > char_limit:
-        return f"Error: Use 150,000 Words at a time. ", None
+        return f"Error: Use 150,000 Words at a time.", None, None
 
     # Get the voice for the selected language and speaker
     voice = language_dict[language_code][speaker]
     communicate = edge_tts.Communicate(text, voice)
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
+
+    # Create a temporary file inside /tmp/gradio/ (accessible but auto-deleted later)
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3", dir="/tmp/gradio/") as tmp_file:
         tmp_path = tmp_file.name
         await communicate.save(tmp_path)