update

app.py

@@ -42,16 +42,15 @@ def install_dependencies(enable_optimization=False):
         except (ImportError, ModuleNotFoundError):
             return False
 
-    if enable_optimization:# flash attention is needed no matter optimization is enabled or not
-        # because Hugging Face transformers detects flash_attn is a dependency in STDiT
-        # thus, we need to install it no matter what
+    if enable_optimization:
+        # install flash attention
         if not _is_package_available("flash_attn"):
             subprocess.run(
                 f"{sys.executable} -m pip install flash-attn --no-build-isolation",
                 env={"FLASH_ATTENTION_SKIP_CUDA_BUILD": "TRUE"},
                 shell=True,
             )
-
+            
         # install apex for fused layernorm
         if not _is_package_available("apex"):
             subprocess.run(
@@ -184,6 +183,7 @@ from opensora.utils.inference_utils import (
     prepare_multi_resolution_info,
     refine_prompts_by_openai,
     split_prompt,
+    has_openai_key
 )
 from opensora.utils.misc import to_torch_dtype
 
@@ -513,13 +513,13 @@ def main():
         with gr.Row():
             with gr.Column():
                 prompt_text = gr.Textbox(label="Prompt", placeholder="Describe your video here", lines=4)
-                refine_prompt = gr.Checkbox(value=True, label="Refine prompt with GPT4o")
-                random_prompt_btn = gr.Button("Random Prompt By GPT4o")
+                refine_prompt = gr.Checkbox(value=has_openai_key(), label="Refine prompt with GPT4o", interactive=has_openai_key())
+                random_prompt_btn = gr.Button("Random Prompt By GPT4o", interactive=has_openai_key())
 
                 gr.Markdown("## Basic Settings")
                 resolution = gr.Radio(
                     choices=["144p", "240p", "360p", "480p", "720p"],
-                    value="480p",
+                    value="240p",
                     label="Resolution",
                 )
                 aspect_ratio = gr.Radio(