Fix error

app.py

@@ -1,151 +1,3 @@
-# import gradio as gr
-# import numpy as np
-# import random
-# from diffusers import DiffusionPipeline
-# import torch
-
-# device = "cuda" if torch.cuda.is_available() else "cpu"
-
-# if torch.cuda.is_available():
-#     torch.cuda.max_memory_allocated(device=device)
-#     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-#     pipe.enable_xformers_memory_efficient_attention()
-#     pipe = pipe.to(device)
-# else: 
-#     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
-#     pipe = pipe.to(device)
-
-# MAX_SEED = np.iinfo(np.int32).max
-# MAX_IMAGE_SIZE = 1024
-
-# def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
-
-#     if randomize_seed:
-#         seed = random.randint(0, MAX_SEED)
-        
-#     generator = torch.Generator().manual_seed(seed)
-    
-#     image = pipe(
-#         prompt = prompt, 
-#         negative_prompt = negative_prompt,
-#         guidance_scale = guidance_scale, 
-#         num_inference_steps = num_inference_steps, 
-#         width = width, 
-#         height = height,
-#         generator = generator
-#     ).images[0] 
-    
-#     return image
-
-# examples = [
-#     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-#     "An astronaut riding a green horse",
-#     "A delicious ceviche cheesecake slice",
-# ]
-
-# css="""
-# #col-container {
-#     margin: 0 auto;
-#     max-width: 520px;
-# }
-# """
-
-# if torch.cuda.is_available():
-#     power_device = "GPU"
-# else:
-#     power_device = "CPU"
-
-# with gr.Blocks(css=css) as demo:
-    
-#     with gr.Column(elem_id="col-container"):
-#         gr.Markdown(f"""
-#         # Text-to-Image Gradio Template
-#         Currently running on {power_device}.
-#         """)
-        
-#         with gr.Row():
-            
-#             prompt = gr.Text(
-#                 label="Prompt",
-#                 show_label=False,
-#                 max_lines=1,
-#                 placeholder="Enter your prompt",
-#                 container=False,
-#             )
-            
-#             run_button = gr.Button("Run", scale=0)
-        
-#         result = gr.Image(label="Result", show_label=False)
-
-#         with gr.Accordion("Advanced Settings", open=False):
-            
-#             negative_prompt = gr.Text(
-#                 label="Negative prompt",
-#                 max_lines=1,
-#                 placeholder="Enter a negative prompt",
-#                 visible=False,
-#             )
-            
-#             seed = gr.Slider(
-#                 label="Seed",
-#                 minimum=0,
-#                 maximum=MAX_SEED,
-#                 step=1,
-#                 value=0,
-#             )
-            
-#             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            
-#             with gr.Row():
-                
-#                 width = gr.Slider(
-#                     label="Width",
-#                     minimum=256,
-#                     maximum=MAX_IMAGE_SIZE,
-#                     step=32,
-#                     value=512,
-#                 )
-                
-#                 height = gr.Slider(
-#                     label="Height",
-#                     minimum=256,
-#                     maximum=MAX_IMAGE_SIZE,
-#                     step=32,
-#                     value=512,
-#                 )
-            
-#             with gr.Row():
-                
-#                 guidance_scale = gr.Slider(
-#                     label="Guidance scale",
-#                     minimum=0.0,
-#                     maximum=10.0,
-#                     step=0.1,
-#                     value=0.0,
-#                 )
-                
-#                 num_inference_steps = gr.Slider(
-#                     label="Number of inference steps",
-#                     minimum=1,
-#                     maximum=12,
-#                     step=1,
-#                     value=2,
-#                 )
-        
-#         gr.Examples(
-#             examples = examples,
-#             inputs = [prompt]
-#         )
-
-#     run_button.click(
-#         fn = infer,
-#         inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-#         outputs = [result]
-#     )
-
-# demo.queue().launch()
-
-
 import gradio as gr
 import numpy as np
 import random
@@ -230,7 +82,7 @@ with gr.Blocks(css=css) as demo:
       
       run_button = gr.Button("Run", scale=0)
     
-    sentiment_text = gr.Text(label="Sentiment:", show_label=True, value="", editable=False)
+    sentiment_text = gr.Text(label="Sentiment:", show_label=True, value="")
     result = gr.Image(label="Result", show_label=False)
 
     with gr.Accordion("Advanced Settings", open=False):