Clean up commented out code

app.py

@@ -1,31 +1,13 @@
 import gradio as gr
-#from datasets import load_dataset
-from PIL import Image  
-import re
-import os
-import requests
+from PIL import Image
 import numpy as np
 
 from fair import text_to_image
 
-from share_btn import community_icon_html, loading_icon_html, share_js
-
 model_id = "runwayml/stable-diffusion-v1-5"
 device = "cuda"
 
-#word_list_dataset = load_dataset("stabilityai/word-list", data_files="list.txt", use_auth_token=True)
-#word_list = word_list_dataset["train"]['text']
-
-#is_gpu_busy = False
 def infer(prompt):
-    #global is_gpu_busy
-    samples = 4
-    steps = 50
-    scale = 7.5
-    # for filter in word_list:
-    #     if re.search(rf"\b{filter}\b", prompt):
-    #         raise gr.Error("Unsafe content found. Please try again with different prompts.")
-    #
     image_file = text_to_image(prompt)
     image = np.array(Image.open(image_file).convert('RGB'))
     images = [image]
@@ -155,44 +137,6 @@ css = """
 
 block = gr.Blocks(css=css)
 
-examples = [
-    [
-        'The spirit of a tamagotchi wandering in the city of Paris',
-#        4,
-#        45,
-#        7.5,
-#        1024,
-    ],
-    [
-        'A delicious ceviche cheesecake slice',
-#        4,
-#        45,
-#        7,
-#        1024,
-    ],
-    [
-        'A pao de queijo foodcart in front of a japanese castle',
-#        4,
-#        45,
-#        7,
-#        1024,
-    ],
-    [
-        'alone in the amusement park by Edward Hopper',
-#        4,
-#        45,
-#        7,
-#        1024,
-    ],
-    [
-        "A large cabin on top of a sunny mountain in the style of Dreamworks, artstation",
-#        4,
-#        45,
-#        7,
-#        1024,
-    ],
-]
-
 
 with block:
     gr.HTML(
@@ -235,55 +179,15 @@ with block:
                     rounded=(False, True, True, False),
                     full_width=False,
                 )
-#        gallery = gr.Image(type="filepath").style(grid=[2], height="auto")
         gallery = gr.Gallery(
             label="Generated images", show_label=False, elem_id="gallery"
         ).style(grid=[1], height="auto")
 
-        # with gr.Group(elem_id="container-advanced-btns"):
-        #     advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
-        #     with gr.Group(elem_id="share-btn-container"):
-        #         community_icon = gr.HTML(community_icon_html)
-        #         loading_icon = gr.HTML(loading_icon_html)
-        #         share_button = gr.Button("Share to community", elem_id="share-btn")
-        #
-        # with gr.Row(elem_id="advanced-options"):
-        #     gr.Markdown("Advanced settings are temporarily unavailable")
-        #     samples = gr.Slider(label="Images", minimum=1, maximum=4, value=4, step=1)
-        #     steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=45, step=1)
-        #     scale = gr.Slider(
-        #         label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1
-        #     )
-        #     seed = gr.Slider(
-        #         label="Seed",
-        #         minimum=0,
-        #         maximum=2147483647,
-        #         step=1,
-        #         randomize=True,
-        #     )
-
-        #ex = gr.Examples(examples=examples, fn=infer, inputs=text, outputs=[gallery], cache_examples=True, postprocess=False)
-        #ex.dataset.headers = [""]
 
         text.submit(infer, inputs=text, outputs=[gallery])
         btn.click(infer, inputs=text, outputs=[gallery])
         
-        # advanced_button.click(
-        #     None,
-        #     [],
-        #     text,
-        #     _js="""
-        #     () => {
-        #         const options = document.querySelector("body > gradio-app").querySelector("#advanced-options");
-        #         options.style.display = ["none", ""].includes(options.style.display) ? "flex" : "none";
-        #     }""",
-        # )
-        # share_button.click(
-        #     None,
-        #     [],
-        #     [],
-        #     _js=share_js,
-        # )
+
         gr.HTML(
             """
                 <div class="footer">

fair.py

@@ -11,7 +11,6 @@ import tempfile
 SERVER_ADRESS="https://faircompute.com:8000/api/v1"
 #SERVER_ADRESS="http://localhost:8000/api/v1"
 DOCKER_IMAGE="faircompute/stable-diffusion:pytorch-1.13.1-cu116"
-#DOCKER_IMAGE="sha256:e06453fe869556ea3e63572a935aed4261337b261fdf7bda370472b0587409a9"
 
 class FairApiClient:
     def __init__(self, server_address: str):