Update app.py

app.py

@@ -25,7 +25,7 @@ import time
 start_time = time.time()
 
 class AnimationConfig:
-    def __init__(self, driven_audio_path, source_image_path, result_folder,pose_style,expression_scale,enhancer,still,preprocess,ref_pose_video_path):
+    def __init__(self, driven_audio_path, source_image_path, result_folder,pose_style,expression_scale,enhancer,still,preprocess,ref_pose_video_path,size):
         self.driven_audio = driven_audio_path
         self.source_image = source_image_path
         self.ref_eyeblink = ref_pose_video_path
@@ -34,7 +34,7 @@ class AnimationConfig:
         self.result_dir = result_folder
         self.pose_style = pose_style
         self.batch_size = 2
-        self.size = 512
+        self.size = size
         self.expression_scale = expression_scale
         self.input_yaw = None
         self.input_pitch = None
@@ -207,6 +207,7 @@ async def generate_video():
         target_language = request.form.get('target_language', 'original_text')
         print('target_language',target_language)
         pose_style = int(request.form.get('pose_style', 1))
+        size = int(request.form.get('size', 256))
         expression_scale = int(request.form.get('expression_scale', 1))
         enhancer = request.form.get('enhancer', None)
         voice_gender = request.form.get('voice_gender', 'male')
@@ -281,7 +282,7 @@ async def generate_video():
                 print('ref_pose_video_path',ref_pose_video_path)
 
     # Example of using the class with some hypothetical paths
-    args = AnimationConfig(driven_audio_path=driven_audio_path, source_image_path=source_image_path, result_folder=result_folder, pose_style=pose_style, expression_scale=expression_scale, enhancer=enhancer,still=still,preprocess=preprocess,ref_pose_video_path=ref_pose_video_path)
+    args = AnimationConfig(driven_audio_path=driven_audio_path, source_image_path=source_image_path, result_folder=result_folder, pose_style=pose_style, expression_scale=expression_scale, enhancer=enhancer,still=still,preprocess=preprocess,ref_pose_video_path=ref_pose_video_path,size=size)
         
     if torch.cuda.is_available() and not args.cpu:
         args.device = "cuda"