I am using RASA forms to take information from user. I need to combine GPT3 chatbot feature for any out of scope question ask by user inside form filling. I created a custom action which uses GPT3 chatbot. I add a rule for out of scope intent, which will activate custom function and use will chat with gpt3 bot. But rule is not getting trigger when I enter out of scope query while chatting with bot. Is anybody already use combination of RASA and GPT3. Can you help me how we can create a rule for this.
Hello!
Thank you for your question, you could try this:
rules:
- rule: Handle out of scope
condition:
- active_loop: user_info_form
steps:
- intent: out_of_scope
- action: action_call_gpt3
- action: user_info_form
- active_loop: user_info_form
Also you could check my tutorial about Rasa and Blenderbot integration to see different options. I will add your case later, thank you.
hello @rupesh2306 ,
I am trying to integrate rasa with gpt3, but not getting the proper response. Can help me out to look at my code and tell me issue.
def gpt3(text):
response = openai.Completion.create(
model="code-cushman-001",
# engine="ada",
prompt="\n\n" + text,
temperature=0,
logprobs=10,
max_tokens=150,
top_p=0,
frequency_penalty=0,
presence_penalty=0,
stop=[" \n\n"]
)
return response['choices'][0]['text']
action.py
class ActionDefaultFallback(Action):
def init(self):
# self.gpt3 = gpt3()
super()._init_()
def name(self) -> Text:
return "action_default_fallback"
async def run(self, dispatcher, tracker, domain):
query = tracker.latest_message['text']
dispatcher.utter_message(text=gpt3(query))
return [UserUtteranceReverted()]
Not able to understand the issue. Help me out to solve this.
Thanks
Hello!
Could you expand the problem in “the proper response”? Action seems ok to me. I’ve never used GPT-3. Does you gpt3
function respond okay?
Thanks @artemsnegirev for your response.
If I separately run the def gpt3(text) function than getting the proper response. But using rasa server it not giving proper response, some meaning less response. I guess because of execution time of gpt-3 api in rasa server. Do you have any solution how we can solve this issue.
Do i correctly understand that if you send to gpt3
function separately some text (for example “hello how are you”), then you get a proper answer and if you send to gpt3
function using rasa the same text you don’t get proper answer?
@artemsnegirev Yes, exactly
Have you tried to check you get equal query
text as you input text to Rasa? If they are equal, i have no idea.
yes, both are equal.
Hi, wondering if you found a solution here. Thank you!