Refactor

app.py

@@ -30,7 +30,7 @@ model = ParlerTTSForConditionalGeneration.from_pretrained(
 client = InferenceClient()
 
 description_tokenizer = AutoTokenizer.from_pretrained(repo_id) 
-prompt_tokenizer = AutoTokenizer.from_pretrained(repo_id, padding_side="left")
+prompt_tokenizer = AutoTokenizer.from_pretrained(repo_id)
 feature_extractor = AutoFeatureExtractor.from_pretrained(repo_id)
 
 SAMPLE_RATE = feature_extractor.sampling_rate
@@ -119,7 +119,7 @@ with gr.Blocks() as block:
     with gr.Group():
         with gr.Row():
             subject = gr.Dropdown(value="Princess", choices=["Prince", "Princess", "Dog", "Cat"], label="Subject")
-            setting = gr.Dropdown(value="Forest", choices=["Forest", "Kingdom", "Jungle", "Underwater"], label="Setting")
+            setting = gr.Dropdown(value="Forest", choices=["Forest", "Kingdom", "Jungle", "Underwater", "Pirate Ship"], label="Setting")
         with gr.Row():
             run_button = gr.Button("Generate Story", variant="primary")
     with gr.Row():

requirements.txt

@@ -1,4 +1,4 @@
-https://gradio-builds.s3.amazonaws.com/streaming-5.0/3e5fe2e3e3ff37f52a1c054ecb051c8e836c890f/gradio-4.40.0-py3-none-any.whl
+https://gradio-builds.s3.amazonaws.com/streaming-5.0/4ec3bed7a2e6550541332be8bf2d4baa3e876c1f/gradio-4.40.0-py3-none-any.whl
 git+https://github.com/huggingface/parler-tts.git
 accelerate
 nltk