Removing mirror

app.py

@@ -22,6 +22,7 @@ import openai
 from gradio.components import Textbox, Text
 
 sys.tracebacklimit = 0	
+
 def load_from_hf(repo_id, filename='diffusion_pytorch_model.bin', subfolder=None):	
     cache_file = hf_hub_download(repo_id=repo_id, filename=filename, subfolder=subfolder)	
     return torch.load(cache_file, map_location='cpu')	
@@ -494,42 +495,10 @@ function(x) {
 }
 """
 
-mirror_js = """
-function () {
-    const root = document.querySelector('gradio-app').shadowRoot || document.querySelector('gradio-app');
-    const mirrors_div = root.querySelector('#mirrors');
-    const current_url = window.location.href;
-    const mirrors = [
-        'https://dev.hliu.cc/gligen_mirror1/',
-        'https://dev.hliu.cc/gligen_mirror2/',
-    ];
-
-    let mirror_html = '';
-    mirror_html += '[<a href="https://gligen.github.io" target="_blank" style="">Project Page</a>]';
-    mirror_html += '[<a href="https://arxiv.org/abs/2301.07093" target="_blank" style="">Paper</a>]';
-    mirror_html += '[<a href="https://github.com/gligen/GLIGEN" target="_blank" style="">GitHub Repo</a>]';
-    mirror_html += '&nbsp;&nbsp;&nbsp;|&nbsp;&nbsp;&nbsp;';
-    mirror_html += 'Mirrors: ';
-
-    mirrors.forEach((e, index) => {
-        let cur_index = index + 1;
-        if (current_url.includes(e)) {
-            mirror_html += `[Mirror ${cur_index}] `;
-        } else {
-            mirror_html += `[<a onclick="window.location.href = '${e}'">Mirror ${cur_index}</a>] `;
-        }
-    });
-
-    mirror_html = `<div class="output-markdown gr-prose" style="max-width: 100%;"><h3 style="text-align: center" id="paper-info">${mirror_html}</h3></div>`;
-
-    mirrors_div.innerHTML = mirror_html;
-}
-"""
-
 # Set up OpenAI API key
 openai.api_key = os.environ['OPENAI_API_KEY']
 
-prompt_base = 'Separate the subjects in this sentence by semicolons. For example, the sentence "a tiger and a horse running in a greenland" should output "tiger; horse". If there are numbers, make each subject unique. For example, "2 dogs and 1 duck" would be "dog; dog; duck." Do the same for the following sentence: \n'
+prompt_base = 'Separate the subjects in this sentence by semicolons. For example, the sentence "a tiger and a horse running" should output "tiger; horse". If there are numbers, make each subject unique. For example, "2 dogs and 1 duck" would be "dog; dog; duck." Do the same for the following sentence: \n'
 
 original_input = ""
 separated_subjects = ""
@@ -558,23 +527,6 @@ def separate_subjects(input_text):
     output_text = response.choices[0].text.strip()
     return output_text
 
-# def update_original_input():
-#     print("start update_original_input")
-#     global original_input
-#     original_input = language_instruction.value
-#     print("original_input in update:", original_input)
-
-# def update_grounding_instruction():
-#     print("start update_grounding_instruction")
-#     # global original_input # declare you want to use the outer variable
-#     global separated_subjects
-#     update_original_input()
-#     separated_subjects = separate_subjects(language_instruction.value)
-#     # separated_subjects = separate_subjects(original_input)
-#     grounding_instruction.value = separated_subjects
-#     print("original_input:", original_input)
-#     print("separated_subjects", separated_subjects)
-
 with Blocks(
     css=css,
     analytics_enabled=False,
@@ -652,7 +604,7 @@ with Blocks(
                 out_imagebox = gr.Image(type="pil", label="Parsed Sketch Pad")
             with gr.Row():
                 clear_btn = gr.Button(value='Clear')
-                gen_btn = gr.Button(value='Generate', elem_id="generate-btn")
+                gen_btn = gr.Button(value='Generate')
             with gr.Accordion("Advanced Options", open=False):
                 with gr.Column():
                     alpha_sample = gr.Slider(minimum=0, maximum=1.0, step=0.1, value=0.3, label="Scheduled Sampling (τ)", visible=False)