Update app.py

app.py

@@ -3,7 +3,6 @@ import requests
 import os
 
 # Define the API URLs for both languages
-# We use Meta's MMS models which are excellent for both
 MODELS = {
     "English": "https://api-inference.huggingface.co/models/facebook/mms-tts-eng",
     "Yoruba": "https://api-inference.huggingface.co/models/facebook/mms-tts-yor"
@@ -14,40 +13,38 @@ hf_token = os.getenv("HF_TOKEN")
 headers = {"Authorization": f"Bearer {hf_token}"}
 
 def text_to_speech(text, language):
-    # Select the correct URL based on user choice
+    if not text.strip():
+        return None # Do nothing if text is empty
+    
     api_url = MODELS[language]
     
-    # Send request to Hugging Face
     try:
         response = requests.post(api_url, headers=headers, json={"inputs": text})
         response.raise_for_status() # Check for errors
     except Exception as e:
-        return None, f"Error: {str(e)}"
+        # This creates a red error popup in the UI instead of crashing
+        raise gr.Error(f"API Error: {str(e)}")
 
     # Save audio to file
     output_file = "output.wav"
     with open(output_file, "wb") as f:
         f.write(response.content)
     
-    return output_file, None
+    # RETURN ONLY THE FILE PATH (Single value)
+    return output_file
 
 # Create the Interface
 with gr.Blocks() as demo:
     gr.Markdown("# 🇳🇬 English & Yoruba Text-to-Speech")
     
     with gr.Row():
-        # Input Text
         txt_input = gr.Textbox(label="Enter Text", placeholder="Type something here...")
-        # Language Dropdown
         lang_dropdown = gr.Dropdown(choices=["English", "Yoruba"], value="English", label="Select Language")
     
-    # Run Button
     btn = gr.Button("Generate Audio")
-    
-    # Output Audio
     audio_out = gr.Audio(label="Output Audio")
     
-    # Connect the button to the function
-    btn.click(fn=text_to_speech, inputs=[txt_input, lang_dropdown], outputs=[audio_out])
+    # Ensure inputs and outputs match the function signature
+    btn.click(fn=text_to_speech, inputs=[txt_input, lang_dropdown], outputs=audio_out)
 
 demo.launch()