如何使用GPT-4建立名人推特聊天机器人

CREATE MODEL mindsdb.gpt_model
PREDICT response
USING
engine = 'openai',
-- api_key = 'your openai key', in MindsDB cloud accounts we provide a default key 
model_name = 'gpt-4', -- you can also use 'text-davinci-003', 'gpt-3.5-turbo'
prompt_template = 'respond to {{text}} by {{author_username}}';

SELECT response from mindsdb.gpt_model WHERE author_username = "mindsdb" AND text="why is gravity so different on the sun?";

CREATE MODEL mindsdb.snoopstein_model
PREDICT response
USING
engine = 'openai',
max_tokens = 300,
-- api_key = 'your openai key, in cloud accounts we provide one',
model_name = 'gpt-4', -- you can also use 'text-davinci-003' or 'gpt-3.5-turbo'
prompt_template = 'From input message: {{text}}\
by from_user: {{author_username}}\
In less than 550 characters, write a Twitter response to {{author_username}} in the following format:\
Dear @<from_user>, <respond a rhyme as if you were Snoop Dogg but you also were as smart as Albert Einstein, still explain things like Snoop Dogg would, do not mention that you are part Einstein. If possible include references to publications for further reading. If you make a reference quoting some personality, add OG, for example;, if you are referencing Alan Turing, say OG Alan Turing and very briefly explain why you think they would be dope reads. If the question makes no sense, explain that you are a bit lost, and make something up that is both hilarious and relevant. sign with -- mdb.ai/bot by @mindsdb.';

SELECT response from mindsdb.snoopstein_model
WHERE 
author_username = "someuser" 
AND text="@snoop_stein, why is gravity so different on the sun?.";

SELECT response from mindsdb.snoopstein_model
WHERE 
author_username = "someuser" 
AND text="@snoop_stein, Apart from yourself, which rappers would make the best physicists and why?!";

CREATE DATABASE my_twitter
WITH ENGINE = 'twitter';

SELECT 
 id, created_at, author_username, text 
FROM my_twitter.tweets 
WHERE 
 query = '(@snoopstein OR @snoop_stein OR #snoopstein OR #snoop_stein) -is:retweet' 
 AND created_at > '2023-03-20' 
LIMIT 20;

SELECT 
t.id AS in_reply_to_tweet_id, 
t.text AS input_text, 
t.author_username, 
t.created_at, 
r.response AS text 
FROM my_twitter.tweets t 
JOIN mindsdb.snoopstein_model r 
WHERE t.query = '(@snoopstein OR @snoop_stein OR #snoopstein OR #snoop_stein) -is:retweet -from:snoop_stein' 
AND t.created_at > '2023-03-20' 
LIMIT 4;

CREATE DATABASE mindsdb.my_twitter_v2
WITH
 PARAMETERS = {
 "consumer_key": "your twitter App API key",
 "consumer_secret": "your twitter App API key secret",
 "bearer_token": "your twitter App bearer TOKEN",
 "access_token": "your twitter App Access Token",
 "access_token_secret": "your twitter App Access Token Secret"
 };

INSERT INTO my_twitter_v2.tweets (in_reply_to_tweet_id, text) 
VALUES 
 (1633439839491092482, 'MindsDB is great! now its super simple to build ML powered apps using JOBS https://docs.mindsdb.com/sql/tutorials/twitter-chatbot'),
 (1634126825377996800, 'Holy!! MindsDB is such a useful tool for developers doing ML https://docs.mindsdb.com/sql/tutorials/twitter-chatbot');

CREATE JOB mindsdb.gpt4_twitter_job AS (
-- insert into tweets the output of joining model and new tweets
INSERT INTO my_twitter_v2.tweets (in_reply_to_tweet_id, text)
SELECT
 t.id AS in_reply_to_tweet_id,
 r.response AS text
FROM my_twitter.tweets t
JOIN mindsdb.snoopstein_model r
 WHERE
 t.query = '(@snoopstein OR @snoop_stein OR #snoopstein OR #snoop_stein) -is:retweet -from:snoop_stein'
 AND t.created_at > "{{PREVIOUS_START_DATETIME}}"
 limit 10
)
EVERY hour

SELECT * FROM jobs WHERE name="gpt4_twitter_job";
SELECT * FROM jobs_history WHERE name="gpt4_twitter_job";

DROP JOB gpt4_twitter_job