added output path to config

gradio_server.py

@@ -269,6 +269,7 @@ if not Path(server_config_filename).is_file():
                      "transformer_filename": transformer_choices_t2v[0], 
                      "transformer_filename_i2v": transformer_choices_i2v[1],  ########
                      "text_encoder_filename" : text_encoder_choices[1],
+                     "save_path": os.path.join(os.getcwd(), "gradio_outputs"),
                      "compile" : "",
                      "default_ui": "t2v",
                      "boost" : 1,
@@ -643,6 +644,7 @@ def apply_changes(  state,
                     transformer_t2v_choice,
                     transformer_i2v_choice,
                     text_encoder_choice,
+                    save_path_choice,
                     attention_choice,
                     compile_choice,
                     profile_choice,
@@ -660,6 +662,7 @@ def apply_changes(  state,
                      "transformer_filename": transformer_choices_t2v[transformer_t2v_choice], 
                      "transformer_filename_i2v": transformer_choices_i2v[transformer_i2v_choice],  ##########
                      "text_encoder_filename" : text_encoder_choices[text_encoder_choice],
+                     "save_path" : save_path_choice,
                      "compile" : compile_choice,
                      "profile" : profile_choice,
                      "vae_config" : vae_config_choice,
@@ -1088,7 +1091,8 @@ def generate_video(
 
     file_list = []
     state["file_list"] = file_list    
-    save_path = os.path.join(os.getcwd(), "gradio_outputs")
+    global save_path
+    save_path = server_config.get("save_path", os.path.join(os.getcwd(), "gradio_outputs"))
     os.makedirs(save_path, exist_ok=True)
     video_no = 0
     total_video =  repeat_generation * len(prompts)
@@ -1229,7 +1233,7 @@ def generate_video(
                     file_name = f"{time_flag}_seed{seed}_{sanitize_file_name(prompt[:50]).strip()}.mp4"
                 else:
                     file_name = f"{time_flag}_seed{seed}_{sanitize_file_name(prompt[:100]).strip()}.mp4"
-                video_path = os.path.join(os.getcwd(), "gradio_outputs", file_name)        
+                video_path = os.path.join(save_path, file_name)        
                 cache_video(
                     tensor=sample[None],
                     save_file=video_path,
@@ -1675,6 +1679,10 @@ def create_demo():
                     value= index,
                     label="Text Encoder model"
                  )
+                save_path_choice = gr.Textbox(
+                    label="Output Folder for Generated Videos",
+                    value=server_config.get("save_path", os.path.join(os.getcwd(), "gradio_outputs"))
+                )
                 def check(mode): 
                     if not mode in attention_modes_supported:
                         return " (NOT INSTALLED)"
@@ -2030,6 +2038,7 @@ def create_demo():
                     transformer_t2v_choice,
                     transformer_i2v_choice,
                     text_encoder_choice,
+                    save_path_choice,
                     attention_choice,
                     compile_choice,                            
                     profile_choice,