Update app.py

app.py

@@ -1849,9 +1849,13 @@ higher identities usually lead to greater confidence in the predictions.<br>
                             "If you upload a target library containing proteins all in the same family, "
                             "you may manually select a Target Family."
                         )
+                        # target_identify_target_family = gr.Dropdown(
+                        #     choices=['Family-Specific Auto-Recommendation'] + list(TARGET_FAMILY_MAP.keys()),
+                        #     value='Family-Specific Auto-Recommendation',
+                        #     label='Step 2. Select Target Family')
                         target_identify_target_family = gr.Dropdown(
-                            choices=['Family-Specific Auto-Recommendation'] + list(TARGET_FAMILY_MAP.keys()),
-                            value='Family-Specific Auto-Recommendation',
+                            choices=['General'],
+                            value='General',
                             label='Step 2. Select Target Family')
                     with gr.Column():
                         HelpTip(
@@ -1872,9 +1876,13 @@ higher identities usually lead to greater confidence in the predictions.<br>
                             "model is used for Target Protein Identification. "
                             "Please refer to the documentation for detailed benchmark results."
                         )
+                        # target_identify_preset = gr.Dropdown(
+                        #     choices=['Family-Specific Auto-Recommendation'] + list(PRESET_MAP.keys()),
+                        #     value='Family-Specific Auto-Recommendation',
+                        #     label='Step 4. Select a Preset Model')
                         target_identify_preset = gr.Dropdown(
-                            choices=['Family-Specific Auto-Recommendation'] + list(PRESET_MAP.keys()),
-                            value='Family-Specific Auto-Recommendation',
+                            choices=['DeepConvDTI', 'DrugBAN', 'HyperAttentionDTI'],
+                            value='DrugBAN',
                             label='Step 4. Select a Preset Model')
                         identify_preset_recommend_btn = gr.Button(value='OR Let Us Recommend for You',
                                                                   variant='primary')
@@ -2088,7 +2096,7 @@ higher similarities usually correspond to greater prediction confidence.<br>
                                               value='Compound-Protein Interaction',
                                               label='Specify the Task Labels in the Uploaded Dataset')
                 with gr.Column(scale=2):
-                    with gr.Row():
+                    with gr.Column():
                         with gr.Row():
                             scores = gr.CheckboxGroup(list(SCORE_MAP.keys()), label='Compound Scores')
                             filters = gr.CheckboxGroup(list(FILTER_MAP.keys()), label='Compound Filters')