Jurassic-AI21Labs / source_code.py
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import ai21
import os
ai21.api_key = os.getenv("HF_KEY")
def text_completion(model, prompt, numResults, maxTokens, temperature, topKReturn, topP):
response = ai21.Completion.execute(
model=model,
prompt=prompt,
numResults=numResults,
maxTokens=maxTokens,
temperature=temperature,
topKReturn=topKReturn,
topP=topP,
presencePenalty={
"scale": 1,
"applyToNumbers": True,
"applyToPunctuations": True,
"applyToStopwords": True,
"applyToWhitespaces": True,
"applyToEmojis": True
},
countPenalty={
"scale": 1,
"applyToNumbers": True,
"applyToPunctuations": True,
"applyToStopwords": True,
"applyToWhitespaces": True,
"applyToEmojis": True
},
frequencyPenalty={
"scale": 1,
"applyToNumbers": True,
"applyToPunctuations": True,
"applyToStopwords": True,
"applyToWhitespaces": True,
"applyToEmojis": True
},
stopSequences=[]
)
return response.suggestions[0].text
def chat(model, messages, numResults, maxTokens, temperature, topKReturn, topP):
response = ai21.Chat.execute(
model=model,
messages=messages,
numResults=numResults,
maxTokens=maxTokens,
temperature=temperature,
topKReturn=topKReturn,
topP=topP,
presencePenalty={
"scale": 1,
"applyToNumbers": True,
"applyToPunctuations": True,
"applyToStopwords": True,
"applyToWhitespaces": True,
"applyToEmojis": True
},
countPenalty={
"scale": 1,
"applyToNumbers": True,
"applyToPunctuations": True,
"applyToStopwords": True,
"applyToWhitespaces": True,
"applyToEmojis": True
},
frequencyPenalty={
"scale": 1,
"applyToNumbers": True,
"applyToPunctuations": True,
"applyToStopwords": True,
"applyToWhitespaces": True,
"applyToEmojis": True
},
stopSequences=[]
)
return response.suggestions[0].text
def GEC(text):
response = ai21.GEC.execute(text=text)
l = len(response.corrections)
for i in range(l):
sug = response.corrections[i].suggestion
start = response.corrections[i].startIndex
end = response.corrections[i].endIndex
text = text.replace(
text[start:end],
sug
)
return text
def summarize(text):
response = ai21.Summarize.execute(source=text, sourceType="TEXT")
return response.summary
def improvements(text):
response = ai21.Improvements.execute(
text=text,
types=[
'fluency',
'vocabulary/specificity',
'vocabulary/variety',
'clarity/short-sentences',
'clarity/conciseness'
]
)
l = len(response.improvements)
for i in range(l):
sug = response.improvements[i].suggestions[0]
start = response.improvements[i].startIndex
end = response.improvements[i].endIndex
text = text.replace(
text[start:end],
sug
)
return text
def paraphrase(text):
response = ai21.Paraphrase.execute(text=text, style="general")
return response.suggestions[0].text
def contextual_answer(context, question):
response = ai21.Answer.execute(context=context, question=question)
return response.suggestions[0].text