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🎚 refactor: correct gpt example

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This commit is contained in:
Florian Hönicke
2023-05-24 00:36:54 +02:00
parent 7414018285
commit 60272404b6
2 changed files with 6 additions and 5 deletions
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2
dev_gpt/constants.py
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@@ -57,7 +57,7 @@ UNNECESSARY_PACKAGES = [
]
LANGUAGE_PACKAGES = [
'allennlp', 'bertopic', 'GPT-3', 'fasttext', 'flair', 'gensim', 'nltk', 'openai',
'allennlp', 'bertopic', 'gpt-3', 'fasttext', 'flair', 'gensim', 'nltk', 'openai',
'pattern', 'polyglot', 'pytorch-transformers', 'rasa', 'sentence-transformers',
'spacy', 'stanza', 'summarizer', 'sumy', 'textblob', 'textstat', 'transformers',
'vadersentiment'

9
dev_gpt/options/generate/chains/auto_refine_description.py
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@@ -38,10 +38,11 @@ Update the description of the Microservice to make it more precise without addin
Note: the output must be a list of tasks the Microservice has to perform.
Note: you can uses two tools if necessary:
{get_available_tools()}
Example for the description: "return a description of the average temperature of the 5 days weather forecast for a given location."
1. get the 5 days weather forcast from the https://openweathermap.org/ API
2. extract the temperature from the response
3. calculate the average temperature'''
Example for the description: "return an image representing the current weather for a given location."
1. get the current weather information from the https://openweathermap.org/ API
2. generate a Google search query to find the image matching the weather information and the location by using gpt-3.5-turbo
3. find the image by using the Google search API
4. return the image as a base64 encoded string'''
generate_request_schema_prompt = '''{context_string}
Generate the lean request json schema of the Microservice.