Update app.py

app.py

@@ -4,11 +4,12 @@ import pandas as pd
 from haystack.schema import Answer
 from haystack.document_stores import InMemoryDocumentStore
 from haystack.pipelines import FAQPipeline, ExtractiveQAPipeline
-from haystack.nodes import EmbeddingRetriever, TfidfRetriever, FARMReader 
+from haystack.nodes import EmbeddingRetriever, TfidfRetriever, FARMReader, PDFToTextConverter
 from haystack.utils import print_answers
+from haystack.utils import convert_files_to_docs
 import logging
 
-#Haystack function calls 
+# FAQ Haystack function calls 
 
 def start_haystack():
     document_store = InMemoryDocumentStore(index="document", embedding_field='embedding', embedding_dim=384, similarity='cosine')
@@ -34,7 +35,16 @@ def predict_faq(question):
     answer =  prediction["answers"][0].meta
     faq_response = "FAQ Question: " + answer["query"] + "\n"+"Answer: " + answer["answer"]
     return faq_response
+    
+# Extractive QA functions
+
+def_start_ex_haystack():
+    return true
+    
+
  
+  
+# Gradio App section 
 input_question =gr.inputs.Textbox(label="enter your monopoly question here")
 response = "text"
 examples = ["how much cash do we get to start with?", "at what point can I buy houses?", "what happens when I land on free parking?"]
@@ -46,7 +56,5 @@ mon_faq = gr.Interface(
             examples=examples,
             title="Monopoly FAQ Semantic Search")
 
-feedback_answer = 
-
-def return_feedback(input_question,feedback_answer):
+# def return_feedback(input_question,feedback_answer):