Update app.py

app.py

@@ -6,14 +6,12 @@ from transformers import AutoTokenizer, AutoFeatureExtractor, set_seed
 
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
-
 repo_id = "parler-tts/parler_tts_mini_v0.1"
 
 model = ParlerTTSForConditionalGeneration.from_pretrained(repo_id).to(device)
 tokenizer = AutoTokenizer.from_pretrained(repo_id)
 feature_extractor = AutoFeatureExtractor.from_pretrained(repo_id)
 
-
 SAMPLE_RATE = feature_extractor.sampling_rate
 SEED = 42
 
@@ -44,7 +42,7 @@ def gen_tts(secret_token, text, description):
 
 
 with gr.Blocks() as block:
-   gr.HTML("""
+    gr.HTML("""
         <div style="z-index: 100; position: fixed; top: 0px; right: 0px; left: 0px; bottom: 0px; width: 100%; height: 100%; background: white; display: flex; align-items: center; justify-content: center; color: black;">
         <div style="text-align: center; color: black;">
         <p style="color: black;">This space is a headless component of the cloud rendering engine used by AiTube.</p>
@@ -61,6 +59,5 @@ with gr.Blocks() as block:
     outputs = [audio_out]
     run_button.click(fn=gen_tts, inputs=inputs, outputs=outputs, queue=True)
 
-
 block.queue()
 block.launch(share=True)