Update app.py

app.py

@@ -3,12 +3,38 @@ import numpy as np
 import torch
 from PIL import Image
 from diffusers import StableDiffusionPipeline
+from transformers import pipeline, set_seed
+import random
+import re
 
 model_id = "runwayml/stable-diffusion-v1-5"
 
 pipe = StableDiffusionPipeline.from_pretrained(model_id).to('cpu')
 
-def infer(prompt, negative, steps, scale, seed):
+gpt2_pipe = pipeline('text-generation', model='Gustavosta/MagicPrompt-Stable-Diffusion', tokenizer='gpt2')
+
+def infer1(starting_text):
+    seed = random.randint(100, 1000000)
+    set_seed(seed)
+
+    if starting_text == "":
+        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
+
+def infer2(prompt, negative, steps, scale, seed):
     generator = torch.Generator(device='cpu').manual_seed(seed)
     img = pipe(
             prompt,
@@ -25,6 +51,14 @@ block = gr.Blocks()
 
 with block:
   with gr.Group():
+    with gr.Box():
+      txt = gr.Textbox(lines=1, label="Initial Text", placeholder="English Text here")
+      gpt_btn = gr.Button("Generate prompt").style(
+                        margin=False,
+                        rounded=(False, True, True, False),
+                    ) 
+      out = gr.Textbox(lines=4, label="Generated Prompts")
+        
     with gr.Box():
       with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
             with gr.Column():
@@ -63,6 +97,8 @@ with block:
           scale = gr.Slider(label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1, interactive=True)
           seed = gr.Slider(label="Random seed",minimum=0,maximum=2147483647,step=1,randomize=True,interactive=True)
 
-    btn.click(infer, inputs=[text, negative, steps, scale, seed], outputs=[gallery])
+    title = "Stable Diffusion Prompt Generator"
+    gpt_btn.click(infer1,inputs=txt,outputs=out)
+    btn.click(infer2, inputs=[text, negative, steps, scale, seed], outputs=[gallery])
 
-block.launch(show_api=False)
+block.launch(show_api=False,enable_queue=True, debug=True)