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import openai | |
import gradio as gr | |
def gpt3(texts): | |
openai.api_key = apikeycode | |
response = openai.Completion.create( | |
engine="code-davinci-002", | |
prompt= texts, | |
temperature=0, | |
max_tokens=750, | |
top_p=1, | |
frequency_penalty=0.0, | |
presence_penalty=0.0, | |
stop = (";", "/*") | |
) | |
x = response.choices[0].text | |
return x | |
# create a UI using gradio that takes in a text name and a text prompt, which then is displayed back to the user | |
def greet( prompt): | |
txt= (f'''/*Prompt: {prompt}*/ \n --SQL Code:''') | |
sql = gpt3(txt) | |
return sql | |
#the scrip variable is a string of python code with a sql query in it. execute the code keep the result in a variable | |
iface = gr.Interface(greet, inputs = ["text"], outputs = "text") | |
iface.launch() | |