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VQA_CAP_GPT

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xxx1 commited on Mar 7, 2023

Commit

a8a7509

1 Parent(s): a8e0a88

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -72,9 +72,9 @@ 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:"+"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 sentence."
     # prompt=caption+"\n"+question+"\n"+vqa_answer+"\n Tell me the right answer."
     response = openai.Completion.create(

     #        " 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=caption+"\n"+question+"\n"+vqa_answer+"\n Tell me the right answer."
     response = openai.Completion.create(