Update app.py

app.py

@@ -72,10 +72,14 @@ def gpt3_long(question,vqa_answer,caption):
     #        " B: "+vqa_answer[1]+" score:"+str(vqa_score[1])+" C: "+vqa_answer[2]+" score:"+str(vqa_score[2])+\
     #         " D: "+vqa_answer[3]+'score:'+str(vqa_score[3])+\
     #        "Tell me the right answer with a long sentence."
+    # prompt="prompt: This is the caption of a picture: "+caption+". Question: "+question+" VQA model predicts:"+" "+vqa_answer[0]+" socre:"+str(vqa_score[0])+\
+    #        "   "+vqa_answer[1]+" score:"+str(vqa_score[1])+"  "+vqa_answer[2]+" score:"+str(vqa_score[2])+\
+    #         "  "+vqa_answer[3]+'score:'+str(vqa_score[3])+\
+    #        "Tell me the right answer with a sentence."
     prompt="prompt: This is the caption of a picture: "+caption+". Question: "+question+" VQA model predicts:"+" "+vqa_answer[0]+" socre:"+str(vqa_score[0])+\
            "   "+vqa_answer[1]+" score:"+str(vqa_score[1])+"  "+vqa_answer[2]+" score:"+str(vqa_score[2])+\
             "  "+vqa_answer[3]+'score:'+str(vqa_score[3])+\
-           "Tell me the right answer with a sentence."
+           "Tell me the right answer with a long sentence."
     # prompt=caption+"\n"+question+"\n"+vqa_answer+"\n Tell me the right answer."
     response = openai.Completion.create(
     engine="text-davinci-003",