MarcusLoren commited on
Commit
21129f6
1 Parent(s): 90f1226

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +0 -3
app.py CHANGED
@@ -10,8 +10,6 @@ import gradio as gr
10
  import numpy as np
11
 
12
  transformer = MeshTransformer.from_pretrained("MarcusLoren/MeshGPT-preview")
13
- total_generations = 0
14
-
15
  def save_as_obj(file_path):
16
  v, f = igl.read_triangle_mesh(file_path)
17
  v, f, _, _ = igl.remove_unreferenced(v, f)
@@ -24,7 +22,6 @@ def predict(text, num_input, num_temp):
24
  transformer.eval()
25
  labels = [label.strip() for label in text.split(',')]
26
  output = []
27
- total_generations +=1
28
  current_time = time.time()
29
  formatted_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(current_time))
30
  print(formatted_time, " Input:", text, "num_input", num_input, "num_temp",num_temp , "total_generations", total_generations)
 
10
  import numpy as np
11
 
12
  transformer = MeshTransformer.from_pretrained("MarcusLoren/MeshGPT-preview")
 
 
13
  def save_as_obj(file_path):
14
  v, f = igl.read_triangle_mesh(file_path)
15
  v, f, _, _ = igl.remove_unreferenced(v, f)
 
22
  transformer.eval()
23
  labels = [label.strip() for label in text.split(',')]
24
  output = []
 
25
  current_time = time.time()
26
  formatted_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(current_time))
27
  print(formatted_time, " Input:", text, "num_input", num_input, "num_temp",num_temp , "total_generations", total_generations)