Update app.py

app.py

@@ -12,18 +12,17 @@ import spaces
 import torch
 from diffusers import AutoencoderKL, DiffusionPipeline
 
-DESCRIPTION = """
-# OpenDalle 1.1
-**Demo by [mrfakename](https://mrfake.name/) - [Twitter](https://twitter.com/realmrfakename) - [GitHub](https://github.com/fakerybakery/) - [Hugging Face](https://huggingface.co/mrfakename)**
-This is a demo of <a href="https://huggingface.co/dataautogpt3/OpenDalleV1.1">OpenDalle V1.1</a> by @dataautogpt3.
-It's a merge of several different models and is supposed to provide excellent performance. Try it out!
-[Not Working?](https://huggingface.co/spaces/mrfakename/OpenDalleV1.1-GPU-Demo/discussions/4)
-**The code for this demo is based on [@hysts's SD-XL demo](https://huggingface.co/spaces/hysts/SD-XL) running on a A10G GPU.**
-**NOTE: The model is licensed under a non-commercial license**
-Also see [OpenDalle Original Demo](https://huggingface.co/spaces/mrfakename/OpenDalle-GPU-Demo/)
+MARKDOWN = """
+This demo utilizes <a href="https://huggingface.co/dataautogpt3/OpenDalleV1.1">OpenDalle V1.1</a> by @dataautogpt3.
+A fusion of different  models has been applied in order to provide better visualized results, comparatively. 
+Try out with different prompts and do provide your feedback.
+
+**Parts of code are borrowed from [@hysts's SD-XL demo](https://huggingface.co/spaces/hysts/SD-XL), which is running on a A10G GPU.**
+
+**Demo by [Sunder Ali Khowaja](https://sander-ali.github.io) - [X](https://x.com/SunderAKhowaja) -[Github](https://github.com/sander-ali) -[Hugging Face](https://huggingface.co/SunderAli17)**
 """
 if not torch.cuda.is_available():
-    DESCRIPTION += "\n<h1>Running on CPU 🥶 This demo does not work on CPU. Please use <a href=\"https://huggingface.co/spaces/mrfakename/OpenDalleV1.1-GPU-Demo\">the online demo</a> instead</h1>"
+    MARKDOWN += "\n<h1>The demo will not work on CPU</h1>"
 
 MAX_SEED = np.iinfo(np.int32).max
 CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES", "0") == "1"
@@ -73,7 +72,7 @@ def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
 
 
 @spaces.GPU
-def generate(
+def infer(
     prompt: str,
     negative_prompt: str = "",
     prompt_2: str = "",
@@ -149,7 +148,7 @@ theme = gr.themes.Base(
     font=[gr.themes.GoogleFont('Libre Franklin'), gr.themes.GoogleFont('Public Sans'), 'system-ui', 'sans-serif'],
 )
 with gr.Blocks(css="footer{display:none !important}", theme=theme) as demo:
-    gr.Markdown(DESCRIPTION)
+    gr.Markdown(MARKDOWN)
     gr.DuplicateButton(
         value="Duplicate Space for private use",
         elem_id="duplicate-button",
@@ -248,7 +247,7 @@ with gr.Blocks(css="footer{display:none !important}", theme=theme) as demo:
         examples=examples,
         inputs=prompt,
         outputs=result,
-        fn=generate,
+        fn=infer,
         cache_examples=CACHE_EXAMPLES,
     )
 
@@ -295,7 +294,7 @@ with gr.Blocks(css="footer{display:none !important}", theme=theme) as demo:
         queue=False,
         api_name=False,
     ).then(
-        fn=generate,
+        fn=infer,
         inputs=[
             prompt,
             negative_prompt,