Update app.py

app.py

@@ -1,16 +1,10 @@
 import gradio as gr
 from optimum.intel import OVDiffusionPipeline
-from transformers import AutoTokenizer
 from threading import Lock
 
-# Load the pipeline and tokenizer globally
+# Load the pipeline globally (includes the correct tokenizer)
 model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
 pipeline = OVDiffusionPipeline.from_pretrained(model_id, device="CPU")
-
-# Explicitly load the tokenizer with fast settings
-tokenizer = AutoTokenizer.from_pretrained("t5-v1_1-xxl", use_fast=True, add_prefix_space=True)
-pipeline.text_encoder_2.tokenizer = tokenizer  # Assign the tokenizer to the T5 encoder
-
 lock = Lock()
 
 # Define the image generation function
@@ -32,4 +26,4 @@ interface = gr.Interface(
 
 # Launch the interface
 if __name__ == "__main__":
-    interface.launch()  # Removed queue=True for compatibility
+    interface.launch()