Update app.py

app.py

@@ -465,12 +465,12 @@ def generate_30(
     images = []
     timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
     filename = pyx.uploadNote(prompt,num_inference_steps,guidance_scale,timestamp)
-    pyx.upload_to_ftp(filename) 
+    upload_to_ftp(filename) 
     batch_options = options.copy()
     rv_image = pipe(**batch_options).images[0]
     sd_image_path = f"rv_B_{timestamp}.png"
     rv_image.save(sd_image_path,optimize=False,compress_level=0)
-    pyx.upload_to_ftp(sd_image_path)    
+    upload_to_ftp(sd_image_path)    
     torch.set_float32_matmul_precision("medium")
     with torch.no_grad():
         upscale = upscaler(rv_image, tiling=True, tile_width=256, tile_height=256)