Added checks on incomplete term entry

app.py

@@ -334,6 +334,25 @@ def retrieveSentences(gr1, gr2, att1, att2, progress=gr.Progress()):
         prog_vis = [False]
 
         #raise gr.Error(NO_TERMS_ENTERED_ERROR)
+    elif len(g1) == 0 or len(g2) == 0 or len(a1) == 0 or len(a2) == 0:
+        print("Missing terms for some attributes or groups!")
+        err_msg = SOME_TERMS_NOT_ENTERED_ERROR
+        print(f"Lengths - G1: {len(g1)}, G2: {len(g2)}, A1: {len(a1)}, A2: {len(a2)}")
+        if len(g1) == 0:
+            err_msg = err_msg.replace("<MISSING>", "words describing both Social Groups")
+        elif len(g2) == 0:
+            err_msg = err_msg.replace("<MISSING>", "words describing both Social Groups")
+        elif len(a1) == 0:
+            err_msg = err_msg.replace("<MISSING>", "Stereotype words for both Social Groups")
+        elif len(a2) == 0:
+            err_msg = err_msg.replace("<MISSING>", "Stereotype words for both Social Groups")
+
+        err_update = updateErrorMsg(True, err_msg) 
+        variants = ["primary","secondary","secondary"]
+        inter = [True, False, False]
+        tabs = [True, False]
+        prog_vis = [False]
+
     else:
         tabs = [False, True]
         progress(0, desc="Fetching saved sentences...")
@@ -832,11 +851,11 @@ with gr.Blocks(theme=soft, title="Social Bias Testing in Language Models",
                     ], label="Example Biases", #info="Select a predefied bias specification to fill-out the terms below."
                 )
             with gr.Row(elem_id="group_row"):
-                group1 = gr.Textbox(label="Words describing Social Group 1", max_lines=1, elem_id="group1_words", elem_classes="input_words", placeholder="brother, father")
-                group2 = gr.Textbox(label="Words describing Social Group 2", max_lines=1, elem_id="group2_words", elem_classes="input_words", placeholder="sister, mother")
+                group1 = gr.Textbox(label="Words describing Social Group 1", max_lines=1, elem_id="group1_words", elem_classes="input_words", placeholder="he, brother, father, ...")
+                group2 = gr.Textbox(label="Words describing Social Group 2", max_lines=1, elem_id="group2_words", elem_classes="input_words", placeholder="she, sister, mother, ...")
             with gr.Row(elem_id="attribute_row"):
-                att1 = gr.Textbox(label='Stereotype words for Social Group 1', max_lines=1, elem_id="att1_words", elem_classes="input_words", placeholder="science, technology")
-                att2 = gr.Textbox(label='Stereotype words for Social Group 2', max_lines=1, elem_id="att2_words", elem_classes="input_words", placeholder="poetry, art")
+                att1 = gr.Textbox(label='Stereotype words for Social Group 1', max_lines=1, elem_id="att1_words", elem_classes="input_words", placeholder="science, technology, physics, ...")
+                att2 = gr.Textbox(label='Stereotype words for Social Group 2', max_lines=1, elem_id="att2_words", elem_classes="input_words", placeholder="poetry, art, dance, ...")
             with gr.Row():
                 gr.Markdown("    ")
                 get_sent_btn = gr.Button(value="Get Sentences", variant="primary", visible=True)

error_messages.py

@@ -5,5 +5,6 @@ OPENAI_INIT_ERROR = "Incorrect OpenAI key, got error from API: <ERR>."
 OPENAI_KEY_WRONG = "The OpenAI key appears incorrect."
 OPENAI_KEY_EMPTY = "You need to provide a valid OpenAI key to enable generation. Rest assured, we do not store the key you provide."
 NO_TERMS_ENTERED_ERROR = "Please first enter some terms to specify social bias to test."
+SOME_TERMS_NOT_ENTERED_ERROR = "Please first enter some <MISSING>."
 BIAS_SENTENCES_MISMATCH_ERROR = "Terms from bias specification don't correspond to test sentences. Please make sure to find/regenerate test sentences after changing bias specification!"
 MODEL_NOT_LOADED_ERROR = "Tested Model [M] did not lead correctly. Please try reploading the space."