Merge pull request #307 from ezerinz/main

add ai.usesless.com
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t.me/xtekky 2023-04-30 12:12:40 +01:00 committed by GitHub
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testing/usesless_test.py Normal file
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import usesless
question1 = "Who won the world series in 2020?"
req = usesless.Completion.create(prompt=question1)
answer = req["text"]
message_id = req["parentMessageId"]
question2 = "Where was it played?"
req2 = usesless.Completion.create(prompt=question2, parentMessageId=message_id)
answer2 = req2["text"]
print(answer)
print(answer2)

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ai.usesless.com
to do:
- use random user agent in header
- make the code better I guess (?)
### Example: `usesless` <a name="example-usesless"></a>
```python
import usesless
message_id = ""
while True:
prompt = input("Question: ")
if prompt == "!stop":
break
req = usesless.Completion.create(prompt=prompt, parentMessageId=message_id)
print(f"Answer: {req['text']}")
message_id = req["id"]
```

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import requests
import json
class Completion:
headers = {
"authority": "ai.usesless.com",
"accept": "application/json, text/plain, */*",
"accept-language": "en-US,en;q=0.5",
"cache-control": "no-cache",
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/112.0",
}
@staticmethod
def create(
systemMessage: str = "You are a helpful assistant",
prompt: str = "",
parentMessageId: str = "",
presence_penalty: float = 1,
temperature: float = 1,
model: str = "gpt-3.5-turbo",
):
json_data = {
"openaiKey": "",
"prompt": prompt,
"options": {
"parentMessageId": parentMessageId,
"systemMessage": systemMessage,
"completionParams": {
"presence_penalty": presence_penalty,
"temperature": temperature,
"model": model,
},
},
}
url = "https://ai.usesless.com/api/chat-process"
request = requests.post(url, headers=Completion.headers, json=json_data)
content = request.content
response = Completion.__response_to_json(content)
return response
@classmethod
def __response_to_json(cls, text) -> dict:
text = str(text.decode("utf-8"))
split_text = text.rsplit("\n", 1)[1]
to_json = json.loads(split_text)
return to_json