Update app.py

app.py

@@ -68,11 +68,14 @@ def gpt3_short(question,vqa_answer,caption):
     return answer
 def gpt3_long(question,vqa_answer,caption):
     vqa_answer,vqa_score=vqa_answer
+    # prompt="prompt: This is the caption of a picture: "+caption+". Question: "+question+" VQA model predicts:"+"A: "+vqa_answer[0]+"socre:"+str(vqa_score[0])+\
+    #        " 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:"+"A: "+vqa_answer[0]+"socre:"+str(vqa_score[0])+\
            " 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."
-    
+           "Tell me the right answer."
     # prompt=caption+"\n"+question+"\n"+vqa_answer+"\n Tell me the right answer."
     response = openai.Completion.create(
     engine="text-davinci-003",