Bug fix

app.py

@@ -123,18 +123,18 @@ examples = [
     'Causes bad breath and frightens blood-suckers \\n (A) tuna (B) iron (C) trash (D) garlic (E) pubs',
 ]
 
-input_question = gr.inputs.Dropdown(
+input_question = gr.Dropdown(
     choices=examples,
     label='Question:',
-    # info='A multiple-choice commonsense question. Please follow the UnifiedQA input format: "{question} \\n (A) ... (B) ... (C) ..."',
+    info='A multiple-choice commonsense question. Please follow the UnifiedQA input format: "{question} \\n (A) ... (B) ... (C) ..."',
 )
-input_kg_model = gr.inputs.Textbox(label='Knowledge generation model:', value='liujch1998/rainier-large', interactive=False)
-input_qa_model = gr.inputs.Textbox(label='QA model:', value='allenai/unifiedqa-t5-large', interactive=False)
-input_max_input_len = gr.inputs.Number(label='Max question length:', value=256, precision=0)
-input_max_output_len = gr.inputs.Number(label='Max knowledge length:', value=32, precision=0)
-input_m = gr.inputs.Slider(label='Number of generated knowledges:', value=10, mininum=1, maximum=20, step=1)
-input_top_p = gr.inputs.Slider(label='Top_p for knowledge generation:', value=0.5, mininum=0.0, maximum=1.0, step=0.05)
-output_text = gr.outputs.Textbox(label='Output')
+input_kg_model = gr.Textbox(label='Knowledge generation model:', value='liujch1998/rainier-large', interactive=False)
+input_qa_model = gr.Textbox(label='QA model:', value='allenai/unifiedqa-t5-large', interactive=False)
+input_max_input_len = gr.Number(label='Max question length:', value=256, precision=0)
+input_max_output_len = gr.Number(label='Max knowledge length:', value=32, precision=0)
+input_m = gr.Slider(label='Number of generated knowledges:', value=10, mininum=1, maximum=20, step=1)
+input_top_p = gr.Slider(label='Top_p for knowledge generation:', value=0.5, mininum=0.0, maximum=1.0, step=0.05)
+output_text = gr.Textbox(label='Output', interactive=False)
 
 gr.Interface(
     fn=predict,