Update app.py

app.py

@@ -649,10 +649,10 @@ Chat History:\n{chat_history}\n
 Follow Up Input: {question}\n
 Standalone question: {question}"""
 
-standalone_question_prompt = PromptTemplate(
-    input_variables=['chat_history', 'question'], 
-    template=standalone_question_template
-)
+#standalone_question_prompt = PromptTemplate(
+#    input_variables=['chat_history', 'question'], 
+#    template=standalone_question_template
+#)
 
 
 def answer_template(language="english"):
@@ -683,7 +683,9 @@ def answer_template(language="english"):
 
 
 chain = ConversationalRetrievalChain.from_llm(
-    condense_question_prompt=standalone_question_prompt,
+    condense_question_prompt=PromptTemplate(
+        input_variables=['chat_history', 'question'], 
+        template=standalone_question_template),
     combine_docs_chain_kwargs={'prompt': ChatPromptTemplate.from_template(answer_template())},
     condense_question_llm=instantiate_LLM(
         LLM_provider="Google",api_key=google_api_key,temperature=0.1,
@@ -779,8 +781,8 @@ def submit_message(prompt, prompt_template, temperature, max_tokens, context_len
     history = state['messages']
 
 
-    global prompt_template_name
-    prompt_template_name = prompt_template
+    #global prompt_template_name
+    #prompt_template_name = prompt_template
     #print(prompt_template)  # prints who is responding if I move to multiple experts
     #print(prompt_templates[prompt_template])