Update app.py

app.py

@@ -61,8 +61,8 @@ def calculate_accuracy(flood_selections, fire_selections, none_selections, num_p
     data_df.to_csv("output.csv")
     return incorrect, correct, accuracy, data_df, gr.DownloadButton(label=f"Download CSV", value="output.csv", visible=True) 
     
-def get_queries():
-    queries = [
+def get_queries(to_add, history):
+    history = history or [
     "What areas are being evacuated?",
     "What areas are predicted to be impacted?",
     "What areas are without power?",
@@ -84,7 +84,34 @@ def get_queries():
     "Where has road damage occured?",
     "What area has the wildfire burned?",
     "Where have homes been damaged or destroyed?"]
-    return gr.CheckboxGroup(choices=queries)
+
+    
+    # queries = [
+    # "What areas are being evacuated?",
+    # "What areas are predicted to be impacted?",
+    # "What areas are without power?",
+    # "What barriers are hindering response efforts?",
+    # "What events have been canceled?",
+    # "What preparations are being made?",
+    # "What regions have announced a state of emergency?",
+    # "What roads are blocked / closed?",
+    # "What services have been closed?",
+    # "What warnings are currently in effect?",
+    # "Where are emergency services deployed?",
+    # "Where are emergency services needed?",
+    # "Where are evacuations needed?",
+    # "Where are people needing rescued?",
+    # "Where are recovery efforts taking place?",
+    # "Where has building or infrastructure damage occurred?",
+    # "Where has flooding occured?"
+    # "Where are volunteers being requested?",
+    # "Where has road damage occured?",
+    # "What area has the wildfire burned?",
+    # "Where have homes been damaged or destroyed?"]
+    if to_add != "dummy":
+        history.append(to_add)
+    
+    return gr.CheckboxGroup(choices=history), history
             
 with gr.Blocks() as demo:
     event_models = ["jayebaku/distilbert-base-multilingual-cased-crexdata-relevance-classifier"]
@@ -177,13 +204,17 @@ with gr.Blocks() as demo:
             - Parameters for QA can be editted in sidebar\n
         """)
         selected_queries = gr.CheckboxGroup(label="Select at least one query using the checkboxes", interactive=True)
-        qa_tab.select(get_queries, None, selected_queries)
+        dummy_arg = gr.Textbox(visible=False, value="dummy")
+        qa_tab.select(get_queries, inputs=[dummy_arg, "state"], outputs=selected_queries)
+        
         qa_button = gr.Button("Start QA")
+
+        
         analysis_output = gr.DataFrame(headers=["Selected Text", "Analysis"])
-        qa_button.click(qa_process, inputs=selected_queries, outputs=analysis_output)
+
+
         
-        # analysis_button = gr.Button("Analyze Selected Texts")
-        # analysis_output = gr.DataFrame(headers=["Selected Text", "Analysis"])
-        # analysis_button.click(analyze_selected_texts, inputs=flood_checkbox_output, outputs=analysis_output)
+        qa_button.click(qa_process, inputs=selected_queries, outputs=analysis_output)
+    
 
 demo.launch()