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March 21, 2023 17:27
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# This code is Apache 2 licensed: | |
# https://www.apache.org/licenses/LICENSE-2.0 | |
import openai | |
import re | |
import httpx | |
import os | |
from dotenv import load_dotenv | |
load_dotenv() | |
openai.api_key = os.getenv("OPENAI_API_KEY") | |
class ChatBot: | |
def __init__(self, system=""): | |
self.system = system | |
self.messages = [] | |
if self.system: | |
self.messages.append({"role": "system", "content": system}) | |
def __call__(self, message): | |
self.messages.append({"role": "user", "content": message}) | |
result = self.execute() | |
self.messages.append({"role": "assistant", "content": result}) | |
return result | |
def execute(self): | |
completion = openai.ChatCompletion.create(model="gpt-4", messages=self.messages) | |
# Uncomment this to print out token usage each time, e.g. | |
# {"completion_tokens": 86, "prompt_tokens": 26, "total_tokens": 112} | |
# print(completion.usage) | |
return completion.choices[0].message.content | |
prompt = """ | |
You run in a loop of Thought, Action, PAUSE, Observation. | |
At the end of the loop you output an Answer | |
Use Thought to describe your thoughts about the question you have been asked. | |
Use Action to run one of the actions available to you - then return PAUSE. | |
Observation will be the result of running those actions. | |
If the answer to the question is not in the Observation, always loop again. | |
Your available actions are: | |
calculate: | |
e.g. calculate: 4 * 7 / 3 | |
Runs a calculation and returns the number - uses Python so be sure to use floating point syntax if necessary | |
wikipedia: | |
e.g. wikipedia: Django | |
Returns a summary from searching Wikipedia | |
Always look things up on Wikipedia if you have the opportunity to do so. | |
Example session: | |
Question: What is the capital of France? | |
Thought: I should look up France on Wikipedia | |
Action: wikipedia: France | |
PAUSE | |
You will be called again with this: | |
Observation: France is a country. The capital is Paris. | |
You then output: | |
Answer: The capital of France is Paris | |
""".strip() | |
action_re = re.compile('^Action: (\w+): (.*)$') | |
def query(question, max_turns=5): | |
i = 0 | |
bot = ChatBot(prompt) | |
next_prompt = question | |
while i < max_turns: | |
i += 1 | |
result = bot(next_prompt) | |
print(result) | |
actions = [action_re.match(a) for a in result.split('\n') if action_re.match(a)] | |
if actions: | |
# There is an action to run | |
action, action_input = actions[0].groups() | |
if action not in known_actions: | |
raise Exception("Unknown action: {}: {}".format(action, action_input)) | |
print(" -- running {} {}".format(action, action_input)) | |
observation = known_actions[action](action_input) | |
print("Observation:", observation) | |
next_prompt = "Observation: {}".format(observation) | |
else: | |
return | |
def wikipedia(q): | |
results = httpx.get("https://en.wikipedia.org/w/api.php", params={ | |
"action": "query", | |
"list": "search", | |
"srsearch": q, | |
"format": "json" | |
}).json()["query"]["search"] | |
print(results) | |
return results[0]["snippet"] | |
def calculate(what): | |
return eval(what) | |
known_actions = { | |
"wikipedia": wikipedia, | |
"calculate": calculate, | |
} |
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