mirror of https://github.com/ashikslab/smartsh.git
add support for text-davinci-003
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48
smartsh.py
48
smartsh.py
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@ -4,17 +4,51 @@ import sys
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#Get the OpenAI API key from environment variable
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#Get the OpenAI API key from environment variable
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openai.api_key = os.environ.get("OPENAI_API_KEY")
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openai.api_key = os.environ.get("OPENAI_API_KEY")
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# check if the API key is set
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if openai.api_key is None:
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print("Please set the OPENAI_API_KEY environment variable")
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sys.exit(1)
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api_model = os.environ.get("OPENAI_MODEL_ID")
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if api_model is None:
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api_model = "gpt-3.5-turbo"
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print("Warning: OPENAI_MODEL_ID not set. Supported models are text-davinci-003, gpt-3.5-turbo")
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print("Using default model " + api_model)
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smarsh_debug_mode = os.environ.get("SMARTSH_DEBUG")
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if smarsh_debug_mode == "1" or smarsh_debug_mode == "true":
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print("Debug mode enabled")
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print("OpenAI API key: " + openai.api_key)
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print("OpenAI model: " + api_model)
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# argcmd contains the entire command line arguments as a space separated string
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# argcmd contains the entire command line arguments as a space separated string
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argcmd = " ".join(sys.argv)
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argcmd = " ".join(sys.argv)
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prompt = "Suggest a linux shell command to accomplish the following: " + argcmd
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prompttxt = "Suggest a linux shell command to accomplish the following: " + argcmd
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completion = openai.ChatCompletion.create(
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completion = None
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model = 'gpt-3.5-turbo',
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if api_model == "text-davinci-003":
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print("Using model " + api_model)
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# Get the completion from OpenAI
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completion = openai.Completion.create(
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model="text-davinci-003",
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prompt=prompttxt,
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temperature=0,
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max_tokens=50,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0,
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)
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# print the output from davinci model to stdout
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print(completion['choices'][0]['text'].strip())
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elif api_model == "gpt-3.5-turbo":
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completion = openai.ChatCompletion.create(
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model = api_model,
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messages = [
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messages = [
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{'role': 'user', 'content': prompt}
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{'role': 'user', 'content': prompttxt}
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],
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],
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temperature = 0
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temperature = 0
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)
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)
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# print the response to stdout
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print(completion['choices'][0]['message']['content'])
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# print the response to stdout
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print(completion['choices'][0]['message']['content'])
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