Update app.py

app.py

@@ -28,28 +28,6 @@ with gr.Blocks() as demo:
                     with gr.Column(min_width=30, scale=1):
                         index_refresh_btn = gr.Button("🔄").style()
 
-    with gr.Tab("Upload"):
-        with gr.Row():
-            with gr.Column():
-                index_type = gr.Dropdown(choices=["GPTVectorStoreIndex"], label="index_type", value="GPTVectorStoreIndex")
-                upload_file = gr.Files(label="upload_file .txt, .pdf, .epub")
-                new_index_name = gr.Textbox(placeholder="new_index_name: ", show_label=False).style(container=False)
-                construct_btn = gr.Button("⚒️ Index", variant="primary")
-            with gr.Row():
-                with gr.Column():
-                    with gr.Row():
-                        max_input_size = gr.Slider(256, 4096, 4096, step=1, label="max_input_size", interactive=True, show_label=True)
-                        num_outputs = gr.Slider(256, 4096, 512, step=1, label="num_outputs", interactive=True, show_label=True)
-                    with gr.Row():
-                        max_chunk_overlap = gr.Slider(0, 100, 20, step=1, label="max_chunk_overlap", interactive=True, show_label=True)
-                        chunk_size_limit = gr.Slider(0, 4096, 0, step=1, label="chunk_size_limit", interactive=True, show_label=True)
-                    with gr.Row():
-                        embedding_limit = gr.Slider(0, 100, 0, step=1, label="embedding_limit", interactive=True, show_label=True)
-                        separator = gr.Textbox(show_label=False, label="separator", placeholder=",", value="", interactive=True)
-                    with gr.Row():
-                        num_children = gr.Slider(2, 100, 10, step=1, label="num_children", interactive=False, show_label=True)
-                        max_keywords_per_chunk = gr.Slider(1, 100, 10, step=1, label="max_keywords_per_chunk", interactive=False, show_label=True)
-
     with gr.Tab("Search"):
         with gr.Row():
             with gr.Column(scale=1):
@@ -79,6 +57,29 @@ with gr.Blocks() as demo:
                 refine_tmpl = gr.Textbox(value=refine_tmpl_dict["Default"] ,lines=10, max_lines=40 ,show_label=False)
 
     
+    with gr.Tab("Upload"):
+        with gr.Row():
+            with gr.Column():
+                index_type = gr.Dropdown(choices=["GPTVectorStoreIndex"], label="index_type", value="GPTVectorStoreIndex")
+                upload_file = gr.Files(label="upload_file .txt, .pdf, .epub")
+                new_index_name = gr.Textbox(placeholder="new_index_name: ", show_label=False).style(container=False)
+                construct_btn = gr.Button("⚒️ Index", variant="primary")
+            with gr.Row():
+                with gr.Column():
+                    with gr.Row():
+                        max_input_size = gr.Slider(256, 4096, 4096, step=1, label="max_input_size", interactive=True, show_label=True)
+                        num_outputs = gr.Slider(256, 4096, 512, step=1, label="num_outputs", interactive=True, show_label=True)
+                    with gr.Row():
+                        max_chunk_overlap = gr.Slider(0, 100, 20, step=1, label="max_chunk_overlap", interactive=True, show_label=True)
+                        chunk_size_limit = gr.Slider(0, 4096, 0, step=1, label="chunk_size_limit", interactive=True, show_label=True)
+                    with gr.Row():
+                        embedding_limit = gr.Slider(0, 100, 0, step=1, label="embedding_limit", interactive=True, show_label=True)
+                        separator = gr.Textbox(show_label=False, label="separator", placeholder=",", value="", interactive=True)
+                    with gr.Row():
+                        num_children = gr.Slider(2, 100, 10, step=1, label="num_children", interactive=False, show_label=True)
+                        max_keywords_per_chunk = gr.Slider(1, 100, 10, step=1, label="max_keywords_per_chunk", interactive=False, show_label=True)
+
+    
     chat_input.submit(chat_ai, [index_select, chat_input, prompt_tmpl, refine_tmpl, sim_k, chat_tone, chat_context, chatbot, search_options_checkbox], [chat_context, chatbot])
     chat_input.submit(reset_textbox, [], [chat_input])
     chat_submit_btn.click(chat_ai, [index_select, chat_input, prompt_tmpl, refine_tmpl, sim_k, chat_tone, chat_context, chatbot, search_options_checkbox], [chat_context, chatbot])