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13
testing/usesless_test.py
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13
testing/usesless_test.py
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import usesless
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question1 = "Who won the world series in 2020?"
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req = usesless.Completion.create(prompt=question1)
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answer = req["text"]
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message_id = req["parentMessageId"]
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question2 = "Where was it played?"
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req2 = usesless.Completion.create(prompt=question2, parentMessageId=message_id)
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answer2 = req2["text"]
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print(answer)
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print(answer2)
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23
unfinished/usesless/README.md
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unfinished/usesless/README.md
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ai.usesless.com
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to do:
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- use random user agent in header
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- make the code better I guess (?)
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### Example: `usesless` <a name="example-usesless"></a>
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```python
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import usesless
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message_id = ""
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while True:
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prompt = input("Question: ")
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if prompt == "!stop":
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break
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req = usesless.Completion.create(prompt=prompt, parentMessageId=message_id)
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print(f"Answer: {req['text']}")
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message_id = req["id"]
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```
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51
unfinished/usesless/__init__.py
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unfinished/usesless/__init__.py
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import requests
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import json
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class Completion:
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headers = {
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"authority": "ai.usesless.com",
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"accept": "application/json, text/plain, */*",
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"accept-language": "en-US,en;q=0.5",
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"cache-control": "no-cache",
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-origin",
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"user-agent": "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/112.0",
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}
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@staticmethod
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def create(
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systemMessage: str = "You are a helpful assistant",
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prompt: str = "",
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parentMessageId: str = "",
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presence_penalty: float = 1,
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temperature: float = 1,
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model: str = "gpt-3.5-turbo",
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):
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json_data = {
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"openaiKey": "",
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"prompt": prompt,
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"options": {
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"parentMessageId": parentMessageId,
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"systemMessage": systemMessage,
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"completionParams": {
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"presence_penalty": presence_penalty,
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"temperature": temperature,
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"model": model,
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},
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},
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}
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url = "https://ai.usesless.com/api/chat-process"
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request = requests.post(url, headers=Completion.headers, json=json_data)
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content = request.content
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response = Completion.__response_to_json(content)
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return response
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@classmethod
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def __response_to_json(cls, text) -> dict:
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text = str(text.decode("utf-8"))
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split_text = text.rsplit("\n", 1)[1]
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to_json = json.loads(split_text)
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return to_json
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