Update app.py

app.py

@@ -1,31 +1,30 @@
 import gradio as gr
 from transformers import pipeline
+
+# Install required packages
 import os
 os.system("pip install -r requirements.txt")
 
+# Load the pipeline for text generation
 pipe = pipeline(
     "text-generation",
     model="Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator",
     tokenizer="gpt2"
 )
 
-
+# Function to generate text based on input prompt
 def generate_text(prompt):
     return pipe(prompt, max_length=77)[0]["generated_text"]
 
+# Create a Gradio interface
 iface = gr.Interface(
     fn=generate_text,
-    
-    #input is a text box
     inputs=gr.Textbox(lines=5, label="Prompt"),
-    
-    
-    # output is a text box with copy button
     outputs=gr.Textbox(label="Output", show_copy_button=True),
-    
-    title="AI Art Prompt Generator",
+    title="<span style='background-image: linear-gradient(to right, #ff7e5f, #feb47b, #ffdb93, #fffbac); -webkit-background-clip: text; -webkit-text-fill-color: transparent;'><center>AI Art Prompt Generator</center></span>",
     description="Art Prompt Generator is a user-friendly interface designed to optimize input for AI Art Generator or Creator. For faster generation speeds, it's recommended to load the model locally with GPUs, as the online demo at Hugging Face Spaces utilizes CPU, resulting in slower processing times.",
     api_name="predict"
 )
 
-iface.launch(show_api=True)
+# Launch the interface
+iface.launch(show_api=True)