Update app.py

app.py

@@ -1,14 +1,16 @@
-import gradio as gr
 import spaces
-from tempfile import NamedTemporaryFile
+import gradio as gr
+#from tempfile import NamedTemporaryFile
 import numpy as np
 import random
 from diffusers import StableDiffusionPipeline as DiffusionPipeline
 import torch
-from pathos.multiprocessing import ProcessingPool as ProcessPoolExecutor
+#from pathos.multiprocessing import ProcessingPool as ProcessPoolExecutor
+import requests
+from lxml.html.soupparser import fromstring
 
-pool = ProcessPoolExecutor(100)
-pool.__enter__()
+#pool = ProcessPoolExecutor(100)
+#pool.__enter__()
 
 model_id = "runwayml/stable-diffusion-v1-5"
 
@@ -22,13 +24,21 @@ else:
     pipe = DiffusionPipeline.from_pretrained(model_id, use_safetensors=True)
     pipe = pipe.to(device)
 
-@spaces.GPU(10)
+def he_to_en(prompt):
+    html_str = requests.get( url = "https://translate.google.com", params = {"sl": "iw", "tl": "en", "op": "translate", "text": prompt} ).text()
+    tree = fromstring(html_str)
+    english = tree.xpath('span[lang="en"]/span/span/text()')[0]
+    return english
+
+def generate_random_string(length):
+    characters = string.ascii_letters + string.digits
+    return ''.join(random.choice(characters) for _ in range(length))
+
+@spaces.GPU(25)
 def infer(prompt):
-    image = pipe(prompt).images[0] 
-    ret = None
-    with NamedTemporaryFile("wb", suffix=".png", delete=False) as file:
-        ret = file.name
-    return ret
+    name = generate_random_string(12)+".png"
+    image = pipe(he_to_en(prompt)).images[0].save(name)
+    return name
 
 css="""
 #col-container {