Update app.py

app.py

@@ -370,48 +370,48 @@ def start_image_search(image, text):
 
 with gr.Blocks() as demo:
 
-        with gr.Tab("Celeb Matcher Demo"):
-            with gr.Tab("Demo"):
-                gr.Markdown("""
-                    # MongoDB's Vector Celeb Image Matcher  
-    
-                    Upload an image and find the most similar celeb image from the database, along with an AI-generated description.
-    
-                    💪 Make a great pose to impact the search! 🤯
-                    """)
-                with gr.Row():
-                    with gr.Column():
-                        image_input = gr.Image(type="pil", label="Upload an image")
-                        text_input = gr.Textbox(label="Enter an adjustment to the image")
-                        search_button = gr.Button("Search")
+    with gr.Tab("Celeb Matcher Demo"):
+        with gr.Tab("Demo"):
+            gr.Markdown("""
+                # MongoDB's Vector Celeb Image Matcher  
+
+                Upload an image and find the most similar celeb image from the database, along with an AI-generated description.
+
+                💪 Make a great pose to impact the search! 🤯
+                """)
+            with gr.Row():
+                with gr.Column():
+                    image_input = gr.Image(type="pil", label="Upload an image")
+                    text_input = gr.Textbox(label="Enter an adjustment to the image")
+                    search_button = gr.Button("Search")
+            
                 
-                    
-                    with gr.Column():
-                        output_gallery = gr.Gallery(label="Located images", show_label=False, elem_id="gallery",
-                                                    columns=[3], rows=[1], object_fit="contain", height="auto")
-                        output_description = gr.Textbox(label="AI Based vision description")
-                gr.Markdown("""
-    
-                        """)
-                with gr.Row():
-                    email_input = gr.Textbox(label="Enter your email")
-                    company_input = gr.Textbox(label="Enter your company name")
-                    record_button = gr.Button("Record & Download PDF")
-    
-                search_button.click(
-                    fn=start_image_search,
-                    inputs=[image_input, text_input],
-                    outputs=[output_gallery, output_description]
-                )
+                with gr.Column():
+                    output_gallery = gr.Gallery(label="Located images", show_label=False, elem_id="gallery",
+                                                columns=[3], rows=[1], object_fit="contain", height="auto")
+                    output_description = gr.Textbox(label="AI Based vision description")
+            gr.Markdown("""
+
+                    """)
+            with gr.Row():
+                email_input = gr.Textbox(label="Enter your email")
+                company_input = gr.Textbox(label="Enter your company name")
+                record_button = gr.Button("Record & Download PDF")
+
+            search_button.click(
+                fn=start_image_search,
+                inputs=[image_input, text_input],
+                outputs=[output_gallery, output_description]
+            )
+
+            record_button.click(
+                fn=record_participant,
+                inputs=[email_input, company_input, output_description, output_gallery],
+                outputs=gr.File(label="Download Search Results as PDF")
+            )
+        with gr.Tab("Code"):
+            gr.Code(label="Code", language="python", value=fetch_url_data('https://huggingface.co/spaces/MongoDB/aws-bedrock-celeb-matcher/raw/main/app.py'))
     
-                record_button.click(
-                    fn=record_participant,
-                    inputs=[email_input, company_input, output_description, output_gallery],
-                    outputs=gr.File(label="Download Search Results as PDF")
-                )
-            with gr.Tab("Code"):
-                gr.Code(label="Code", language="python", value=fetch_url_data('https://huggingface.co/spaces/MongoDB/aws-bedrock-celeb-matcher/raw/main/app.py'))
-        
     with gr.Tab("Chat RAG Demo"):
         with gr.Tab("Demo"):
             gr.ChatInterface(get_movies, examples=["What movies are scary?", "Find me a comedy", "Movies for kids"], title="Movies Atlas Vector Search",description="This small chat uses a similarity search to find relevant movies, it uses MongoDB Atlas Vector Search read more here: https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-tutorial",submit_btn="Search").queue()