Update app.py

app.py

@@ -1,19 +1,21 @@
 from gradio_client import Client, handle_file
 import os
-hf_token=os.getenv("your_huggingface_token")
+
+# Get Hugging Face token from environment variable
+hf_token = os.getenv("your_huggingface_token")  # Make sure this is set in your environment
+
+# Initialize the Gradio client with the token
 client = Client("ResembleAI/Chatterbox", hf_token)
 
-# client = Client("ResembleAI/Chatterbox")
-# result = client.predict(
-# 		text_input="Now let's make my mum's favourite. So three mars bars into the pan. Then we add the tuna and just stir for a bit, just let the chocolate and fish infuse. A sprinkle of olive oil and some tomato ketchup. Now smell that. Oh boy this is going to be incredible.",
-# 		audio_prompt_path_input=handle_file('https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav'),
-# 		exaggeration_input=0.5,
-# 		temperature_input=0.8,
-# 		seed_num_input=0,
-# 		cfgw_input=0.5,
-# 		api_name="/generate_tts_audio"
-# )
+# Example text input, audio prompt URL, and other parameters
+text_input = "Now let's make my mum's favourite. So three mars bars into the pan. Then we add the tuna and just stir for a bit, just let the chocolate and fish infuse. A sprinkle of olive oil and some tomato ketchup. Now smell that. Oh boy this is going to be incredible."
+audio_prompt_url = 'https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav'
+exaggeration_input = 0.5
+temperature_input = 0.8
+seed_num_input = 0
+cfgw_input = 0.5
 
+# Use try-except to handle any errors that might occur during the prediction
 try:
     result = client.predict(
         text_input=text_input,
@@ -24,8 +26,7 @@ try:
         cfgw_input=cfgw_input,
         api_name="/generate_tts_audio"
     )
+    print(result)  # Print the result (filepath to generated audio)
 except Exception as e:
+    # Handle the error by printing the exception message
     print(f"An error occurred: {e}")
-    return "Error generating audio"
-
-print(result)