Update app.py

app.py

@@ -1,49 +1,8 @@
 import gradio as gr
-import random
-import re
 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 = gr.Textbox(lines=1, label="Initial Text", placeholder="English Text here")
-out = gr.Textbox(lines=4, label="Generated Prompts")
-
-title = "Stable Diffusion Prompt Generator"
-gr.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"