1st version

app.py

@@ -3,6 +3,9 @@ import gradio as gr
 import torch
 from torch import autocast
 from diffusers import StableDiffusionPipeline
+import urllib, urllib.request
+import os
+from xml.etree import ElementTree
 
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -24,127 +27,48 @@ if disable_safety:
 
 
 def infer(prompt, n_samples, steps, scale):
-
+    paper_title = get_paper_name(prompt)
+    
     with context("cuda"):
-        images = pipe(n_samples*[prompt], guidance_scale=scale, num_inference_steps=steps).images
+        images = pipe(n_samples*[paper_title], guidance_scale=scale, num_inference_steps=steps).images
 
     return images
 
-css = """
-        a {
-            color: inherit;
-            text-decoration: underline;
-        }
-        .gradio-container {
-            font-family: 'IBM Plex Sans', sans-serif;
-        }
-        .gr-button {
-            color: white;
-            border-color: #9d66e5;
-            background: #9d66e5;
-        }
-        input[type='range'] {
-            accent-color: #9d66e5;
-        }
-        .dark input[type='range'] {
-            accent-color: #dfdfdf;
-        }
-        .container {
-            max-width: 730px;
-            margin: auto;
-            padding-top: 1.5rem;
-        }
-        #gallery {
-            min-height: 22rem;
-            margin-bottom: 15px;
-            margin-left: auto;
-            margin-right: auto;
-            border-bottom-right-radius: .5rem !important;
-            border-bottom-left-radius: .5rem !important;
-        }
-        #gallery>div>.h-full {
-            min-height: 20rem;
-        }
-        .details:hover {
-            text-decoration: underline;
-        }
-        .gr-button {
-            white-space: nowrap;
-        }
-        .gr-button:focus {
-            border-color: rgb(147 197 253 / var(--tw-border-opacity));
-            outline: none;
-            box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
-            --tw-border-opacity: 1;
-            --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
-            --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
-            --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
-            --tw-ring-opacity: .5;
-        }
-        #advanced-options {
-            margin-bottom: 20px;
-        }
-        .footer {
-            margin-bottom: 45px;
-            margin-top: 35px;
-            text-align: center;
-            border-bottom: 1px solid #e5e5e5;
-        }
-        .footer>p {
-            font-size: .8rem;
-            display: inline-block;
-            padding: 0 10px;
-            transform: translateY(10px);
-            background: white;
-        }
-        .dark .logo{ filter: invert(1); }
-        .dark .footer {
-            border-color: #303030;
-        }
-        .dark .footer>p {
-            background: #0b0f19;
-        }
-        .acknowledgments h4{
-            margin: 1.25em 0 .25em 0;
-            font-weight: bold;
-            font-size: 115%;
-        }
-"""
-
-block = gr.Blocks(css=css)
+def get_paper_name(url: str):
+    paper_id = os.path.basename(url)
+    paper_id = paper_id.split(".pdf")[0]
+    query_url = f"http://export.arxiv.org/api/query?id_list={paper_id}"
+    hdr = { 'Content-Type' : 'application/atom+xml' }
+    req = urllib.request.Request(query_url, headers=hdr)
+    response = urllib.request.urlopen(req)
+    tree = ElementTree.fromstring(response.read().decode('utf-8'))
+    paper_title = tree.find('{http://www.w3.org/2005/Atom}entry').find('{http://www.w3.org/2005/Atom}title').text
+    
+    return paper_title
+    
+
+
+block = gr.Blocks()
 
 examples = [
     [
-        'Yoda',
-        2,
-        7.5,
-    ],
-    [
-        'Abraham Lincoln',
+        'https://arxiv.org/abs/1706.03762',
         2,
         7.5,
     ],
-    [
-        'George Washington',
-        2,
-        7,
-    ],
 ]
 
 with block:
     gr.HTML(
         """
-            <div style="text-align: center; max-width: 650px; margin: 0 auto;">
+            <div style="text-align: center; max-width: 650px; margin: 50px auto;">
               <div>
-                <img class="logo" src="https://lambdalabs.com/hubfs/logos/lambda-logo.svg" alt="Lambda Logo"
-                    style="margin: auto; max-width: 7rem;">
                 <h1 style="font-weight: 900; font-size: 3rem;">
-                  Pokémon text to image
+                  Paper to Pokémon
                 </h1>
               </div>
-              <p style="margin-bottom: 10px; font-size: 94%">
-              Generate new Pokémon from a text description,
-                <a href="https://lambdalabs.com/blog/how-to-fine-tune-stable-diffusion-how-we-made-the-text-to-pokemon-model-at-lambda/">created by Lambda Labs</a>.
+              <p style="margin-bottom: 10px; margin-top: 30px; font-size: 94%">
+              Generate new Pokémon from an arXiv link. Just paste the link to the overview, the pdf or just give the id of the paper.
               </p>
             </div>
         """
@@ -188,15 +112,10 @@ with block:
         btn.click(infer, inputs=[text, samples, steps, scale], outputs=gallery)
         gr.HTML(
             """
-                <div class="footer">
-                    <p> Gradio Demo by 🤗 Hugging Face and Lambda Labs
-                    </p>
-                </div>
-                <div class="acknowledgments">
-                    <p> Put in a text prompt and generate your own Pokémon character, no "prompt engineering" required!
-                    <p>If you want to find out how we made this model read about it in <a href="https://lambdalabs.com/blog/how-to-fine-tune-stable-diffusion-how-we-made-the-text-to-pokemon-model-at-lambda/">this blog post</a>.
-                    <p>And if you want to train your own Stable Diffusion variants, see our <a href="https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning">Examples Repo</a>!
-                    <p>Trained by <a href="justinpinkney.com">Justin Pinkney</a> (<a href="https://twitter.com/Buntworthy">@Buntworthy</a>) at <a href="https://lambdalabs.com/">Lambda Labs</a>.</p>
+                <div class="footer" style="text-align: center; max-width: 650px; margin: 50px auto;">
+                    <p>Inspired by and cloned from the great <a href="https://huggingface.co/spaces/lambdalabs/text-to-pokemon">
+                    Text-to-Pokémon</a> space by Lambda labs</p>
+                    <p> Gradio Demo by johko</p>
                </div>
            """
         )