Update app.py

app.py

@@ -791,7 +791,7 @@ chain.memory.load_memory_variables({})
 
 follow_up_question = "plaese give more details about it, including its use cases and implementation."
 
-chain.invoke({"question":follow_up_question})['answer']
+chain.invoke({"question":follow_up_question})['answer'])
 """
 
 def submit_message(prompt, prompt_template, temperature, max_tokens, context_length, state):
@@ -799,15 +799,19 @@ def submit_message(prompt, prompt_template, temperature, max_tokens, context_len
     
     history = state['messages']
 
-    if not prompt:
-        return gr.update(value=''), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], state
+    #if not prompt:
+    #    return gr.update(value=''), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], state
     
     prompt_template = prompt_templates[prompt_template]
 
     completion = chain.invoke({"question":prompt})
+    print("completion")
+    print(completiion)
     #chain = load_qa_chain(ChatOpenAI(temperature=temperature, max_tokens=max_tokens, model_name="gpt-3.5-turbo"), chain_type="stuff")
     #completion = chain.run(input_documents=docs, question=query)
-  
+
+    
+    chain.memory.load_memory_variables({})
 
     
     get_empty_state()
@@ -815,11 +819,6 @@ def submit_message(prompt, prompt_template, temperature, max_tokens, context_len
     #state.append(completion.copy())
     
     completion = { "content": completion }
-    print("completion2")
-    print(completion['content']['answer'])
-    print(completion['content']['answer'])
-
-
 
     #chat_messages = [(prompt_msg['content'], completion['content'])]    
     chat_messages = [(prompt, completion['content']['answer'])]