fix

app.py

@@ -65,8 +65,7 @@ def login(oauth_token: gr.OAuthToken | None):
         else:
             if not TOKEN:
                 print("No Hugging Face OAuth token received and HF_TOKEN environment variable not set.")
-                gr.Warning("Hugging Face token not set. Image generation via HF Inference Providers might fail.")
-            else:  # It was already set, and no new OAuth token, so it's still configured
+            else:
                 gr.Info("Hugging Face token remains configured (no new OAuth token).")
 
     if oauth_token is None:
@@ -94,15 +93,12 @@ def set_fal_key(fal_key_from_ui: str | None):
         env_fal_key = os.environ.get("FAL_KEY")
         if env_fal_key:
             FAL_KEY = env_fal_key
-            print("FAL_KEY UI input empty, using key from environment variable.")
             gr.Info("FAL_KEY is configured from environment variable (UI input was empty).")
         else:
             FAL_KEY = None
             print("FAL_KEY UI input empty and not found in environment. FAL_KEY is now unset.")
-            gr.Warning("FAL_KEY is not set. Video generation will not work.")
     elif not FAL_KEY:
         print("FAL_KEY not provided in UI and not in environment.")
-        gr.Warning("FAL_KEY not set. Video generation will not work.")
     else:
         gr.Info("FAL_KEY is configured.")
 
@@ -224,6 +220,7 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     demo.load(login, inputs=None, outputs=None)
+    demo.load(set_fal_key, inputs=None, outputs=None)
     with gr.Sidebar():
         gr.Markdown("# Authentication")
         gr.Markdown(
@@ -323,7 +320,7 @@ with gr.Blocks(css=css) as demo:
             inputs=[prompt, seed_slider, width_slider, height_slider, steps_slider],
             outputs=[result, seed_number],
         ).then(
-            lambda img_path, vid_accordion, vid_btn: {  # Make video section interactive
+            lambda img_path, vid_accordion, vid_btn: {
                 vid_accordion: gr.Accordion(open=True),
                 vid_btn: gr.Button(interactive=True),
             },
@@ -355,21 +352,14 @@ with gr.Blocks(css=css) as demo:
                 minimum=0.0,
                 maximum=10.0,
                 value=0.5,
-                step=0.1,  # Default from API (0.5 seems low, API docs mention it, let's check if it's a typo or specific to this model)
+                step=0.1,
             )
             generate_video_btn = gr.Button("Generate Video", interactive=False)
 
-        # Update the run_button.click().then() to target these video components
-        # We need to define them first, so I'm moving the .then() part of run_button here.
-        # This is a bit tricky with Gradio's sequential definition. Let's re-organize slightly.
-
-        # The previous run_button.click had a .then() that needs video_gen_accordion and generate_video_btn
-        # We'll chain it properly after these are defined.
-
         generate_video_btn.click(
             fn=generate_video_from_image,
             inputs=[
-                result,  # This is the gr.Image component, its output (filepath) will be passed
+                result,
                 video_prompt_input,
                 video_duration_input,
                 video_aspect_ratio_input,
@@ -379,22 +369,17 @@ with gr.Blocks(css=css) as demo:
             outputs=[video_result_output],
         )
 
-        # Now, correctly chain the .then() for the image generation button
         run_button.click(
             fn=generate,
             inputs=[prompt, seed_slider, width_slider, height_slider, steps_slider],
             outputs=[result, seed_number],
         ).then(
-            # This function will run after 'generate' and will update the UI
-            # It receives the outputs of 'generate' as its inputs.
-            # We use `result` (the gr.Image component's output which is a filepath)
-            # to enable the video section.
-            lambda image_filepath: {  # image_filepath will be the path from the `result` gr.Image
+            lambda image_filepath: {
                 video_gen_accordion: gr.Accordion(open=True),
                 generate_video_btn: gr.Button(interactive=True if image_filepath else False),
                 download_btn: gr.DownloadButton(value=image_filepath, visible=True if image_filepath else False),
             },
-            inputs=[result],  # Input to this lambda is the output of `result` (gr.Image)
+            inputs=[result],
             outputs=[video_gen_accordion, generate_video_btn, download_btn],
         )
         with gr.Accordion("Download Image from URL", open=False):