Update app.py

app.py

@@ -15,8 +15,6 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 
 huggingface_token = os.getenv("HUGGINGFACE_TOKEN")
 
-Title = "Text-2-Image Generation With Transformer Rectifier | Nirajan Dhakal"
-
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=dtype, token = huggingface_token).to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
@@ -100,7 +98,7 @@ body {
 """
 
 with gr.Blocks(css=css, theme=gr.themes.Soft(primary_hue="blue", secondary_hue="gray")) as demo:
-    gr.HTML(title=Title)
+    
     
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""# FLUX.1 [dev]