add torchvision to requirement

app.py

@@ -11,10 +11,10 @@ from src.attention_processor import FluxBlendedAttnProcessor2_0
 from src.utils_sample import set_seed, resize_and_add_margin
 import os
 
-
+pipe = None
 dtype = torch.bfloat16
 token = os.environ.get("HF_TOKEN")
-pipe = None
+
 pipe = FluxPipeline.from_pretrained(
     "black-forest-labs/FLUX.1-dev", 
     torch_dtype=dtype, 
@@ -23,7 +23,7 @@ pipe = FluxPipeline.from_pretrained(
 pipe = pipe.to("cuda")
 
 @spaces.GPU
-def process_image_and_text(image, scale, seed, text, pipe):
+def process_image_and_text(image, scale, seed, text):
     set_seed(seed)
     blended_attn_procs = {}
     for name, _ in pipe.transformer.attn_processors.items():
@@ -143,7 +143,7 @@ header = """
 """
 
 
-def create_app(pipe):
+def create_app():
     
     with gr.Blocks() as app:
         gr.Markdown(header, elem_id="header")
@@ -184,4 +184,4 @@ def create_app(pipe):
 
 
 if __name__ == "__main__":
-    create_app(pipe).launch(debug=True, ssr_mode=False)
+    create_app().launch(debug=True, ssr_mode=False)