Update app.py

app.py

@@ -52,13 +52,11 @@ from PIL import Image
 
 hftoken = os.getenv("HF_AUTH_TOKEN") 
 
-code = r'''
-import torch
 import paramiko
-import os
 import socket
 import threading # NEW IMPORT
 import queue     # NEW IMPORT
+
 FTP_HOST = 'noahcohn.com'
 FTP_USER = 'ford442'
 FTP_PASS = os.getenv("FTP_PASS")
@@ -138,9 +136,6 @@ def upload_to_ftp(filename):
         print("❌ Critical Error: Neither FTP host responded in time.")
     except Exception as e:
         print(f"❌ An unexpected error occurred during SFTP operation: {e}")
-'''
-
-pyx = cyper.inline(code, fast_indexing=True, directives=dict(boundscheck=False, wraparound=False, language_level=3))
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
@@ -215,7 +210,7 @@ def infer_60(
     timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
     sd35_path = f"sd35ll_{timestamp}.png"
     sd_image.save(sd35_path,optimize=False,compress_level=0)
-    pyx.upload_to_ftp(sd35_path)
+    upload_to_ftp(sd35_path)
     with torch.no_grad():
         upscale = upscaler_2(sd_image, tiling=True, tile_width=256, tile_height=256)
         upscale2 = upscaler_2(upscale, tiling=True, tile_width=256, tile_height=256)
@@ -223,7 +218,7 @@ def infer_60(
     downscale = upscale2.resize((upscale2.width // 4, upscale2.height // 4),Image.LANCZOS)
     upscale_path = f"sd35ll_upscale_{timestamp}.png"
     downscale.save(upscale_path,optimize=False,compress_level=0)
-    pyx.upload_to_ftp(upscale_path)
+    upload_to_ftp(upscale_path)
     return sd_image, prompt
 
 @spaces.GPU(duration=100)
@@ -259,7 +254,7 @@ def infer_90(
     timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
     sd35_path = f"sd35ll_{timestamp}.png"
     sd_image.save(sd35_path,optimize=False,compress_level=0)
-    pyx.upload_to_ftp(sd35_path)
+    upload_to_ftp(sd35_path)
     with torch.no_grad():
         upscale = upscaler_2(sd_image, tiling=True, tile_width=256, tile_height=256)
         upscale2 = upscaler_2(upscale, tiling=True, tile_width=256, tile_height=256)
@@ -267,7 +262,7 @@ def infer_90(
     downscale = upscale2.resize((upscale2.width // 4, upscale2.height // 4),Image.LANCZOS)
     upscale_path = f"sd35ll_upscale_{timestamp}.png"
     downscale.save(upscale_path,optimize=False,compress_level=0)
-    pyx.upload_to_ftp(upscale_path)
+    upload_to_ftp(upscale_path)
     return sd_image, prompt
 
 @spaces.GPU(duration=120)
@@ -303,7 +298,7 @@ def infer_110(
     timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
     sd35_path = f"sd35ll_{timestamp}.png"
     sd_image.save(sd35_path,optimize=False,compress_level=0)
-    pyx.upload_to_ftp(sd35_path)
+    upload_to_ftp(sd35_path)
     with torch.no_grad():
         upscale = upscaler_2(sd_image, tiling=True, tile_width=256, tile_height=256)
         upscale2 = upscaler_2(upscale, tiling=True, tile_width=256, tile_height=256)
@@ -311,7 +306,7 @@ def infer_110(
     downscale = upscale2.resize((upscale2.width // 4, upscale2.height // 4),Image.LANCZOS)
     upscale_path = f"sd35ll_upscale_{timestamp}.png"
     downscale.save(upscale_path,optimize=False,compress_level=0)
-    pyx.upload_to_ftp(upscale_path)
+    upload_to_ftp(upscale_path)
     return sd_image, prompt
     
 css = """