wehub-resource-sync
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
import openai
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import json
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openai.api_key = "EMPTY"
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openai.api_base = "http://luigi.millennium.berkeley.edu:8000/v1"
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# Example dummy function hard coded to return the same weather
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# In production, this could be your backend API or an external API
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def get_current_weather(location, unit="fahrenheit"):
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"""Get the current weather in a given location"""
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weather_info = {
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"location": location,
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"temperature": "72",
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"unit": unit,
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"forecast": ["sunny", "windy"],
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}
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return json.dumps(weather_info)
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def run_conversation():
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# Step 1: send the conversation and available functions to GPT
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messages = [{"role": "user", "content": "What's the weather like in the two cities of Boston and San Francisco?"}]
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functions = [
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{
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"name": "get_current_weather",
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"description": "Get the current weather in a given location",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state, e.g. San Francisco, CA",
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},
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"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
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},
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"required": ["location"],
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},
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}
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]
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completion = openai.ChatCompletion.create(
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model='gorilla-openfunctions-v2',
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messages=messages,
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functions=functions,
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function_call="auto", # auto is default, but we'll be explicit
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)
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print("--------------------")
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print(f"Function call strings(s): {completion.choices[0].message.content}")
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print("--------------------")
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print(f"OpenAI compatible `function_call`: {completion.choices[0].message.function_call}")
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run_conversation()
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