Update app.py

app.py

@@ -5,8 +5,7 @@ import gradio as gr
 generator = Text2Image(
     img_height=512,
     img_width=512,
-    jit_compile=False,
-)
+    jit_compile=False)
 
 def txt2img(prompt, guide, steps, Temp):
     img = generator.generate(prompt,
@@ -21,5 +20,5 @@ iface = gr.Interface(fn=txt2img, inputs=[
     gr.Textbox(label = 'Input Text Prompt'),
     gr.Slider(2, 20, value = 9, label = 'Guidence Scale'),
     gr.Slider(10, 100, value = 50, step = 1, label = 'Number of Iterations'),
-    gr.Slider(.01, 100, value=1)], outputs = 'image',title='Stable Diffusion with Keras and TensorFlow CPU or GPU', description='Now Using Keras and TensorFlow with Stable Diffusion. This allows very complex image generation with less code footprint, and less text.')
+    gr.Slider(.01, 100, value=1)], outputs = 'image',title='Stable Diffusion with Keras and TensorFlow CPU or GPU', description='Now Using Keras and TensorFlow with Stable Diffusion. This allows very complex image generation with less code footprint, and less text.', footer='About Keras: Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result as fast as possible is key to doing good research. https://keras.io/about/')
 iface.launch()