added examples

app.py

@@ -531,45 +531,52 @@ def process_video(video_file):
 
 # Create Gradio interface
 def create_interface():
-    """Create the Gradio interface"""
-    description = """
-    Upload an ASL* video to get an English translation.  *Sign languages belonging to the same sign language family as ASL (e.g. Ghanaian Sign Language, as well as others listed in Table 7, Row 1 of https://aclanthology.org/2023.findings-emnlp.664.pdf) might also have non-trivial performance, although the model is trained only on ASL data.
-
-    This app uses TTIC's foundation model SHuBERT (introduced in an ACL 2025 paper, see http://shubert.pals.ttic.edu).
-         
-    **Requirements:**
-    - We recommend that videos be under 20 seconds.  Performance for longer videos has not been tested.
-    - The signer should be the main part (e.g. 90% of the area) of the video. Videos recorded from a phone camera, tablet, or personal computer should work well. Studio recordings where the signer is farther from the camera may not work as well.
-    - Supported formats: MP4, MOV
-
-    **Note:**
-    - This is just a demo of a research project, and should NOT be used to replace an interpreter in any way.
-    - Videos will be deleted after the output is generated.
-    - Inquires or feedback? Please email us at shesterg@ttic.edu
-    """
+   """Create the Gradio interface"""
+   description = """
+   Upload an ASL* video to get an English translation.  *Sign languages belonging to the same sign language family as ASL (e.g. Ghanaian Sign Language, as well as others listed in Table 7, Row 1 of https://aclanthology.org/2023.findings-emnlp.664.pdf) might also have non-trivial performance, although the model is trained only on ASL data.
+
+
+This app uses TTIC's foundation model SHuBERT (introduced in an ACL 2025 paper, see http://shubert.pals.ttic.edu).
+     
+   **Requirements:**
+   - We recommend that videos be under 20 seconds.  Performance for longer videos has not been tested.
+   - The signer should be the main part (e.g. 90% of the area) of the video. Videos recorded from a phone camera, tablet, or personal computer should work well. Studio recordings where the signer is farther from the camera may not work as well.
+   - Supported formats: MP4, MOV
+
+   **Note:**
+   - This is just a demo of a research project, and should NOT be used to replace an interpreter in any way.
+   - Videos will be deleted after the output is generated.
+   - Inquires or feedback? Please email us at [email protected]
+   """
+  
+   if initialization_error:
+       description += f"\n\n:warning: **Initialization Error:** {initialization_error}"
+  
     
-    if initialization_error:
-        description += f"\n\n:warning: **Initialization Error:** {initialization_error}"
-    
-    dailymoth_pathlist = download_example_videos()
-    
-    with gr.Blocks(title="ASL Video to English Text Translation") as interface:
-        gr.Markdown(f"# ASL Video to English Text Translation\n\n{description}")
-        
-        with gr.Row():
-            video_input = gr.Video(label="ASL Video (under 20 seconds)", format="mp4", height=480, width=640)
-            output_text = gr.Textbox(label="English Translation", lines=5)
-        
-        submit_btn = gr.Button("Translate", variant="primary")
-        submit_btn.click(fn=process_video, inputs=video_input, outputs=output_text)
-        
-        gr.Examples(
-            examples=dailymoth_pathlist,
-            inputs=video_input,
-            label="Click a video to try an example"
-        )
-    
-    return interface
+   dailymoth_pathlist = download_example_videos()
+
+    video_input = gr.Video(label="ASL Video (under 20 seconds)", format="mp4", height=480, width=640)
+    text_output = gr.Textbox(label="English Translation", lines=5)
+  
+  
+  
+   interface = gr.Interface(
+       fn=process_video,
+       inputs=video_input,
+       outputs=text_output,
+       title="ASL Video to English Text Translation",
+       description=description,
+       article="",
+       allow_flagging="never"
+   )
+   
+   gr.Examples(
+        examples=dailymoth_pathlist,
+        inputs=video_input,
+        label="Click a video to try an example"
+    )
+   
+   return interface
 
 # Create the demo
 demo = create_interface()