Update app.py

app.py

@@ -4,6 +4,7 @@ import random
 import torch
 import spaces
 from diffusers import  DiffusionPipeline, FlowMatchEulerDiscreteScheduler
+from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5TokenizerFast
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 dtype = torch.bfloat16
@@ -14,7 +15,7 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
 @spaces.GPU(duration=190)
-def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=5.0, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
+def infer(prompt, seed=47622, randomize_seed=False, width=1024, height=1024, guidance_scale=5.0, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
@@ -36,14 +37,6 @@ examples = [
 ]
 
 
-
-#css="""
-#col-container {
-#    margin: 0 auto;
-#    max-width: 520px;
-#}
-#"""
-
 css="""
 body {
     font-family: Arial, sans-serif;