Update app.py

app.py

@@ -147,7 +147,7 @@ def generate_answer(question, openAI_key):
     for c in topn_chunks:
         prompt += c + '\n\n'
         
-    prompt += "Instructions: Compose a comprehensive reply to the query using the search results given. "\
+    '''prompt += "Instructions: Compose a comprehensive reply to the query using the search results given. "\
               "Cite each reference using [PDF FILE NAME, PAGE NUMBER:] notation (every result has this number at the beginning). "\
               "Citation should be done at the end of each sentence. If the search results mention multiple subjects "\
               "with the same name, create separate answers for each. Only include information found in the results and "\
@@ -155,7 +155,8 @@ def generate_answer(question, openAI_key):
               "If the text does not relate to the query, simply state 'Text Not Found in PDF'. Ignore outlier "\
               "search results which have nothing to do with the question. Only answer what is asked. The "\
               "answer should be short and concise. Answer step-by-step. \n\nQuery: {question}\nAnswer: "
-    
+              '''
+    prompt += ``Instruct:Composcomprehensrepliqueriusesearchresultgiven.``\``Citereferuse[PDFFILENAME,PAGENUMBER:]notat(everiresultnumberbegin).``\``Citatdoneendsentenc.searchresultmentionmultiplsubject``\``name,creatseparanswer.includinformfoundresult``\``dontaddadditinform.Makesureanswercorrectdontoutputfalscontent.``\``textnotrelatqueri,simplistateTextNotFoundPDF.Ignoroutlier``\``searchresultnothquestion.answerask.``\``answershortconcis.Answerstep-by-step.\n\nqueri:{question}\nanswer:``
     prompt += f"Query: {question}\nAnswer:"
     answer = generate_text(openAI_key, prompt, "text-davinci-003")
     return answer