Update app.py

app.py

@@ -31,6 +31,7 @@ model = BartForConditionalGeneration.from_pretrained("microsoft/tapex-large-fine
 
 #new
 pipe_tapas = pipeline(task="table-question-answering", model="google/tapas-large-finetuned-wtq")
+pipe_tapas2 = pipeline(task="table-question-answering", model="google/tapas-large-finetuned-wikisql-supervised")
 
 
 
@@ -45,18 +46,21 @@ def process2(query, csv_dataStr):
     result_tapex=tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
     #google
     result_tapas = pipe_tapas(table=table, query=query)['cells'][0]
-    return result_tapex, result_tapas
+    #google2
+    result_tapas2 = pipe_tapas2(table=table, query=query)['cells'][0]
+    return result_tapex, result_tapas, result_tapas2
 
 
 # Inputs
-query_text = gr.Text(label="Enter a question")
+query_text = gr.Text(label="")
 # input_file = gr.File(label="Upload a CSV file", type="file")
-input_data = gr.Text(label="Input table json data")
+input_data = gr.Text(label="")
 # rows_slider = gr.Slider(label="Number of rows")
 
 # Output
 answer_text_tapex = gr.Text(label="TAPEX answer")
 answer_text_tapas = gr.Text(label="TAPAS answer")
+answer_text_tapas2 = gr.Text(label="TAPAS wikisql answer")
 
 description = "This Space lets you ask questions on CSV documents with Microsoft [TAPEX-Large](https://huggingface.co/microsoft/tapex-large-finetuned-wtq) and Google [TAPAS-Large](https://huggingface.co/google/tapas-large-finetuned-wtq). \
 Both have been fine-tuned on the [WikiTableQuestions](https://huggingface.co/datasets/wikitablequestions) dataset. \n\n\
@@ -74,7 +78,7 @@ iface = gr.Interface(
     layout="vertical",
     fn=process2,
     inputs=[query_text, input_data],
-    outputs=[answer_text_tapex, answer_text_tapas],
+    outputs=[answer_text_tapex, answer_text_tapas, answer_text_tapas2],
     examples=[
         
     ],