Update app.py

app.py

@@ -2,12 +2,31 @@ import gradio as gr
 import torch
 from in2in.utils.plot import plot_3d_motion
 from in2in.utils.paramUtil import HML_KINEMATIC_CHAIN
-from transformers import AutoModel        
+from transformers import AutoModel     
+
+import random
+import string
+
+def generate_random_filename(length=10, extension='.mp4'):
+    """
+    Generates a random file name with the specified length and file extension.
+    
+    Args:
+        length (int): The desired length of the file name (excluding the extension).
+        extension (str): The file extension, including the dot (e.g., '.txt', '.jpg', '.pdf').
+    
+    Returns:
+        str: The generated random file name with the specified extension.
+    """
+    characters = string.ascii_letters + string.digits
+    filename = ''.join(random.choice(characters) for _ in range(length))
+    return filename + extension
 
 def generate(textI, texti1, texti2):
     preds = model(textI, texti1, texti2)
-    plot_3d_motion("result.mp4", HML_KINEMATIC_CHAIN, preds, title="", fps=30)
-    return "result.mp4"
+    filename = generate_random_filename(length=15, extension='.mp4')
+    plot_3d_motion(filename, HML_KINEMATIC_CHAIN, preds, title="", fps=30)
+    return filename
 
 model = AutoModel.from_pretrained("pabloruizponce/in2IN", trust_remote_code=True)
 model.to("cuda")