Created
December 15, 2022 19:23
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Using OpenAI to tag user feedback. You can use this as starting block to build an app iterating over user feedback items and tagging them.
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| import openai | |
| openai.api_key = 'sk-****' # Get your own API key from OpenAI, I ain't sharing mine! | |
| prompt = """ | |
| Decide whether to tag the following review with one or more of the following themes: | |
| Pricing, Efficiency, Reliability, Food, Service, Positive, Negative | |
| Review: Great authentic Indian food. Good prices and childrens menu too (seems quite rare in Indian restaurants). I would definitely recommend going. The waiter service was good and waiting Tim's for food was minimal. We visited based on the good reviews on here and they seemed justified. | |
| The only reason it isn't a 5 star was because me and my family found the lady who greeted us quite abrupt and rude and didn't allow me yo point out we had a table booked instead sent us to wait for a table to be ready in the waiting area. | |
| Theme: | |
| """ | |
| # create a completion | |
| completion = openai.Completion.create(engine="text-davinci-003", prompt= prompt, temperature=0,max_tokens=60, top_p=1,frequency_penalty=0.5,presence_penalty=0) | |
| # print the completion | |
| print(completion.choices[0].text) |
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