Update app.py

app.py

@@ -6,7 +6,7 @@ import subprocess
 import logging
 import re
 import random
-import string
+from string import ascii_letters, digits
 import requests
 import sys
 import warnings
@@ -16,7 +16,7 @@ import warnings
 #import spaces
 import torch
 import gradio as gr
-import numpy as np
+from numpy import array
 from lxml.html import fromstring
 #from transformers import pipeline
 #from diffusers.pipelines.flux import FluxPipeline
@@ -48,7 +48,7 @@ root.addHandler(handler2)
 
 # data
 
-last_motion=None
+last_motion=array([""],dtype=string)
 dtype = torch.float16
 device = "cuda"
 #repo = "ByteDance/AnimateDiff-Lightning"
@@ -156,25 +156,21 @@ def translate(text,lang):
     return ret
     
 def generate_random_string(length):
-    characters = str(string.ascii_letters + string.digits)
+    characters = str(ascii_letters + digits)
     return ''.join(random.choice(characters) for _ in range(length))
     
-@gpu(void(),device=True,inline=True)
+@gpu(void())
 def calc():
-    nonlocal inp
-    nonlocal last_motion
-    nonlocal ip_loaded
-    nonlocal out
 
     x = grid(1)
 
-    if last_motion != inp[3]:
+    if last_motion[0] != inp[3]:
         pipe.unload_lora_weights()
         if inp[3] != "":
             pipe.load_lora_weights(inp[3], adapter_name="motion")
             pipe.fuse_lora()
             pipe.set_adapters([3], [0.7])
-        last_motion = inp[3]
+        last_motion[0] = inp[3]
 
     pipe.to(device,dtype)
 
@@ -202,14 +198,11 @@ def calc():
 
 def handle(*args):
     global inp
-    global last_motion
-    global ip_loaded
     global out
 
-    inp = args
+    inp = array(args, dtype=)
 
-    out = [""]
-    out.remove("")
+    out = array([],dtype=string)
 
     inp[1] = translate(inp[1],"english")
     inp[2] = translate(inp[2],"english")