Update app.py

app.py

@@ -685,24 +685,6 @@ def launch_interface(share=True):
             query_optimization_model_input = gr.Textbox(label="Query Optimization Model", value="google/flan-t5-base")
             use_reranking_input = gr.Checkbox(label="Use Reranking", value=False)
 
-        results_output = gr.Dataframe(label="Results", interactive=False)
-        stats_output = gr.Dataframe(label="Statistics", interactive=False)
-        plot_output = gr.Plot(label="Visualizations")
-
-        submit_button = gr.Button("Compare Embeddings")
-        submit_button.click(
-            fn=compare_embeddings,
-            inputs=[
-                file_input, query_input, embedding_models_input, custom_embedding_model_input,
-                split_strategy_input, chunk_size_input, overlap_size_input, custom_separators_input,
-                vector_store_type_input, search_type_input, top_k_input, lang_input,
-                apply_preprocessing_input, optimize_vocab_input, apply_phonetic_input,
-                phonetic_weight_input, custom_tokenizer_file_input, custom_tokenizer_model_input,
-                custom_tokenizer_vocab_size_input, custom_tokenizer_special_tokens_input,
-                use_query_optimization_input, query_optimization_model_input, use_reranking_input
-            ],
-            outputs=[results_output, stats_output, plot_output]
-        )
         ####
         with gr.Tab("Automated"):
             auto_file_input = gr.File(label="Upload File (Optional)")
@@ -731,6 +713,25 @@ def launch_interface(share=True):
             auto_use_query_optimization = gr.Checkbox(label="Test Query Optimization", value=True)
             auto_use_reranking = gr.Checkbox(label="Test Reranking", value=True)
 
+        results_output = gr.Dataframe(label="Results", interactive=False)
+        stats_output = gr.Dataframe(label="Statistics", interactive=False)
+        plot_output = gr.Plot(label="Visualizations")
+
+        submit_button = gr.Button("Compare Embeddings")
+        submit_button.click(
+            fn=compare_embeddings,
+            inputs=[
+                file_input, query_input, embedding_models_input, custom_embedding_model_input,
+                split_strategy_input, chunk_size_input, overlap_size_input, custom_separators_input,
+                vector_store_type_input, search_type_input, top_k_input, lang_input,
+                apply_preprocessing_input, optimize_vocab_input, apply_phonetic_input,
+                phonetic_weight_input, custom_tokenizer_file_input, custom_tokenizer_model_input,
+                custom_tokenizer_vocab_size_input, custom_tokenizer_special_tokens_input,
+                use_query_optimization_input, query_optimization_model_input, use_reranking_input
+            ],
+            outputs=[results_output, stats_output, plot_output]
+        )
+
         auto_results_output = gr.Dataframe(label="Automated Test Results", interactive=False)
         auto_stats_output = gr.Dataframe(label="Automated Test Statistics", interactive=False)
         recommendations_output = gr.JSON(label="Recommendations")