Update app.py

app.py

@@ -8,6 +8,7 @@ from transformers import (
     BartForConditionalGeneration
 )
 import pandas as pd
+import json
 
 # model_tapex = "microsoft/tapex-large-finetuned-wtq"
 # tokenizer_tapex = AutoTokenizer.from_pretrained(model_tapex)
@@ -34,8 +35,9 @@ pipe_tapas = pipeline(task="table-question-answering", model="google/tapas-large
 
 
 
-def process2(query, csv_data):
+def process2(query, csv_dataStr):
     # csv_data={"Actors": ["Brad Pitt", "Leonardo Di Caprio", "George Clooney"], "Number of movies": ["87", "53", "69"]}
+    csv_data = json.loads(csv_dataStr)
     table = pd.DataFrame.from_dict(csv_data)
     #microsoft
     encoding = tokenizer(table=table, query=query, return_tensors="pt")