Update app2.py

app2.py

@@ -22,7 +22,7 @@ pipe_tapas = pipeline(
 )
 
 
-def process(query, file, correct_answer, rows=20):
+def process(query, data, correct_answer, rows=20):
     # table = pd.read_csv(file.name, header=0).astype(str)
     # table = table[:rows]
     data = {"Actors": ["Brad Pitt", "Leonardo Di Caprio", "George Clooney"], "Number of movies": ["87", "53", "69"]}
@@ -60,14 +60,10 @@ iface = gr.Interface(
     inputs=[query_text, input_data, rows_slider],
     outputs=[answer_text_tapex, answer_text_tapas],
     examples=[
-        ["Which team has the most wins?", "default_file.csv", 20],
-        [
-            "Which team has the most wins: Chelsea, Liverpool or Everton?",
-            "default_file.csv",
-            20,
-        ],
-        ["Which teams have scored less than 40 goals?", "default_file.csv", 20],
-        ["What is the average number of wins?", "default_file.csv", 20],
+        ["how many movies does Leonardo Di Caprio have?", {"Actors": ["Brad Pitt", "Leonardo Di Caprio", "George Clooney"], "Number of movies": ["87", "53", "69"]}, 20],
+        ["how many movies does Leonardo Di Caprio have?", "{"Actors": ["Brad Pitt", "Leonardo Di Caprio", "George Clooney"], "Number of movies": ["87", "53", "69"]}", 20],
+        ["how many movies does Leonardo Di Caprio have?", "{"Rank": ["1", "2", "3"], "Number of movies": ["87", "53", "69"]}", 20],
+        
     ],
     allow_flagging="never",
 )