switch tts to use cpu

app.py

@@ -21,6 +21,7 @@ vq_model = RQBottleneckTransformer.load_model(
         "whisper-vq-stoks-medium-en+pl-fixed.model"
     ).to(device)
 # tts = TTSProcessor('cpu')
+tts = TTSProcessor("cpu")
 use_8bit = False    
 llm_path = "homebrewltd/Llama3.1-s-instruct-2024-08-19-epoch-3"
 tokenizer = AutoTokenizer.from_pretrained(llm_path)
@@ -74,7 +75,6 @@ def text_to_audio_file(text):
     # remove the last character if it is a period
     if text_split[-1] == ".":
         text_split = text_split[:-1]
-    tts = TTSProcessor("cuda")
     tts.convert_text_to_audio_file(text, temp_file)
     # logging.info(f"Saving audio to {temp_file}")
     # torchaudio.save(temp_file, audio.cpu(), sample_rate=24000)
@@ -167,7 +167,7 @@ examples = []
 examples.extend(good_examples)
 examples.extend(bad_examples)
 with gr.Blocks() as iface:
-    gr.Markdown("# Llama3-1-S: checkpoint Aug 19, 2024")
+    gr.Markdown("# Llama3.1-S: checkpoint Aug 19, 2024")
     gr.Markdown("Enter text to convert to audio, then submit the audio to generate text or Upload Audio")
     
     with gr.Row():