Update app.py

app.py

@@ -3,6 +3,45 @@ import numpy as np
 import torch
 from PIL import Image
 from diffusers import StableDiffusionPipeline
+from transformers import pipeline, set_seed
+
+gpt2_pipe = pipeline('text-generation', model='Gustavosta/MagicPrompt-Stable-Diffusion', tokenizer='gpt2')
+
+def generate(starting_text):
+    seed = random.randint(100, 1000000)
+    set_seed(seed)
+
+    if starting_text == "":
+        starting_text: str = line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize()
+        starting_text: str = re.sub(r"[,:\-–.!;?_]", '', starting_text)
+
+    response = gpt2_pipe(starting_text, max_length=(len(starting_text) + random.randint(60, 90)), num_return_sequences=4)
+    response_list = []
+    for x in response:
+        resp = x['generated_text'].strip()
+        if resp != starting_text and len(resp) > (len(starting_text) + 4) and resp.endswith((":", "-", "—")) is False:
+            response_list.append(resp+'\n')
+
+    response_end = "\n".join(response_list)
+    response_end = re.sub('[^ ]+\.[^ ]+','', response_end)
+    response_end = response_end.replace("<", "").replace(">", "")
+
+    if response_end != "":
+        return response_end
+
+
+txt = grad.Textbox(lines=1, label="Initial Text", placeholder="English Text here")
+out = grad.Textbox(lines=4, label="Generated Prompts")
+
+title = "Stable Diffusion Prompt Generator"
+grad.Interface(fn=generate,
+               inputs=txt,
+               outputs=out,
+               title=title,
+               article='',
+               allow_flagging='never',
+               cache_examples=False,
+               theme="default").launch(enable_queue=True, debug=True)
 
 model_id = "runwayml/stable-diffusion-v1-5"