Update Gradio app with multiple files

app.py

@@ -11,18 +11,22 @@ client = InferenceClient(
     bill_to="huggingface",
 )
 
-def generate_video(image, prompt, progress=gr.Progress()):
+def generate_video_with_auth(image, prompt, profile: gr.OAuthProfile | None, progress=gr.Progress()):
     """
-    Generate a video from an image using the Ovi model.
+    Generate a video from an image using the Ovi model with authentication check.
     
     Args:
         image: Input image (PIL Image or file path)
         prompt: Text prompt describing the desired motion/animation
+        profile: OAuth profile for authentication
         progress: Gradio progress tracker
     
     Returns:
         Path to the generated video file
     """
+    if profile is None:
+        raise gr.Error("Click Sign in with Hugging Face button to use this app for free")
+    
     if image is None:
         raise gr.Error("Please upload an image first!")
     
@@ -106,8 +110,14 @@ with gr.Blocks(
             margin: 1em 0;
             border-radius: 4px;
         }
+        .auth-warning {
+            color: #ff6b00;
+            font-weight: bold;
+            text-align: center;
+            margin: 1em 0;
+        }
     """,
-    title="Image to Video Generator",
+    title="Image to Video Generator with Ovi",
 ) as demo:
     
     gr.HTML(
@@ -130,6 +140,17 @@ with gr.Blocks(
         """
     )
     
+    gr.HTML(
+        """
+        <div class="auth-warning">
+            ⚠️ You must Sign in with Hugging Face using the button below to use this app.
+        </div>
+        """
+    )
+    
+    # Add login button - required for OAuth
+    gr.LoginButton()
+    
     gr.HTML(
         """
         <div class="info-box">
@@ -171,13 +192,9 @@ with gr.Blocks(
             
             prompt_input = gr.Textbox(
                 label="✍️ Text Prompt",
-                placeholder="Describe the motion or animation you want to see. Use <S>text<E> for speech and <AUDCAP>description<ENDAUDCAP> for audio effects...",
                 lines=3,
-                value="The subject starts to move naturally",
             )
             
-            
-            
             generate_btn = gr.Button(
                 "🎬 Generate Video",
                 variant="primary",
@@ -214,18 +231,21 @@ with gr.Blocks(
                 """
             )
     
-    # Event handlers
+    # Event handlers with authentication
     generate_btn.click(
-        fn=generate_video,
+        fn=generate_video_with_auth,
         inputs=[image_input, prompt_input],
         outputs=[video_output],
-        api_name="generate_video",
+        queue=False,
+        api_name=False,
+        show_api=False,
     )
     
     clear_btn.click(
-        fn=lambda: (None, "The subject starts to move naturally", None),
+        fn=lambda: (None, "", None),
         inputs=None,
         outputs=[image_input, prompt_input, video_output],
+        queue=False,
     )
     
     gr.Markdown(
@@ -234,9 +254,10 @@ with gr.Blocks(
         
         ### 🚀 How it works
         
-        1. **Upload** your image - any photo or illustration
-        2. **Describe** the motion you want to see in the prompt
-        3. **Generate** and watch your image come to life!
+        1. **Sign in** with your Hugging Face account
+        2. **Upload** your image - any photo or illustration
+        3. **Describe** the motion you want to see in the prompt
+        4. **Generate** and watch your image come to life!
         
         ### ⚠️ Notes
         
@@ -257,4 +278,8 @@ with gr.Blocks(
 
 # Launch the app
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(
+        show_api=False,
+        enable_monitoring=False,
+        quiet=True,
+    )