Update app.py

app.py

@@ -185,7 +185,9 @@ def evaluate(
         s = generation_output.sequences[0]
         output = tokenizer.decode(s)
     elif llm == "flan-ul2":
-        output = query({"inputs": prompt_0shot})[0]["generated_text"]
+        res = query({"inputs": prompt_0shot})
+        print (res)
+        output = res[0]["generated_text"]
     elif llm == "gpt-3.5-turbo":
         try:
             output = get_response_from_openai(prompt_0shot)
@@ -256,9 +258,10 @@ with gr.Blocks(theme="gradio/soft") as demo:
 
     gr.Examples(
         examples=[
-            ["deplot_case_study_6.png", "Rank the four methods according to average model performances. By how much does deplot outperform the second strongest approach on average across the two sets?  Show the computation.", "gpt-3.5-turbo"],
-            ["deplot_case_study_4.png", "What are the acceptance rates? And how does the acceptance change over the years?", "gpt-3.5-turbo"],
-            ["deplot_case_study_m1.png", "Summarise the chart for me please.", "gpt-3.5-turbo"],
+            #["deplot_case_study_6.png", "Rank the four methods according to average model performances. By how much does deplot outperform the second strongest approach on average across the two sets?  Show the computation.", "gpt-3.5-turbo"],
+            #["deplot_case_study_4.png", "What are the acceptance rates? And how does the acceptance change over the years?", "gpt-3.5-turbo"],
+            #["deplot_case_study_m1.png", "Summarise the chart for me please.", "gpt-3.5-turbo"],
+            
             #["deplot_case_study_m1.png", "What is the sum of numbers of Indonesia and Ireland? Remember to think step by step.", "alpaca-lora"],
             #["deplot_case_study_3.png", "By how much did China's growth rate drop? Think step by step.", "alpaca-lora"],
             #["deplot_case_study_4.png", "How many papers are submitted in 2020?", "flan-ul2"],