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-rw-r--r--t3nsor/__init__.py137
1 files changed, 0 insertions, 137 deletions
diff --git a/t3nsor/__init__.py b/t3nsor/__init__.py
deleted file mode 100644
index aec45dcf..00000000
--- a/t3nsor/__init__.py
+++ /dev/null
@@ -1,137 +0,0 @@
-from requests import post
-from time import time
-
-headers = {
- 'authority': 'www.t3nsor.tech',
- 'accept': '*/*',
- 'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
- 'cache-control': 'no-cache',
- 'content-type': 'application/json',
- 'origin': 'https://www.t3nsor.tech',
- 'pragma': 'no-cache',
- 'referer': 'https://www.t3nsor.tech/',
- 'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
- 'sec-ch-ua-mobile': '?0',
- 'sec-ch-ua-platform': '"macOS"',
- 'sec-fetch-dest': 'empty',
- 'sec-fetch-mode': 'cors',
- 'sec-fetch-site': 'same-origin',
- 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
-}
-
-class T3nsorResponse:
-
- class Completion:
-
- class Choices:
- def __init__(self, choice: dict) -> None:
- self.text = choice['text']
- self.content = self.text.encode()
- self.index = choice['index']
- self.logprobs = choice['logprobs']
- self.finish_reason = choice['finish_reason']
-
- def __repr__(self) -> str:
- return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
-
- def __init__(self, choices: dict) -> None:
- self.choices = [self.Choices(choice) for choice in choices]
-
- class Usage:
- def __init__(self, usage_dict: dict) -> None:
- self.prompt_tokens = usage_dict['prompt_chars']
- self.completion_tokens = usage_dict['completion_chars']
- self.total_tokens = usage_dict['total_chars']
-
- def __repr__(self):
- return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
-
- def __init__(self, response_dict: dict) -> None:
-
- self.response_dict = response_dict
- self.id = response_dict['id']
- self.object = response_dict['object']
- self.created = response_dict['created']
- self.model = response_dict['model']
- self.completion = self.Completion(response_dict['choices'])
- self.usage = self.Usage(response_dict['usage'])
-
- def json(self) -> dict:
- return self.response_dict
-
-class Completion:
- model = {
- 'model': {
- 'id' : 'gpt-3.5-turbo',
- 'name' : 'Default (GPT-3.5)'
- }
- }
-
- def create(
- prompt: str = 'hello world',
- messages: list = []) -> T3nsorResponse:
-
- response = post('https://www.t3nsor.tech/api/chat', headers = headers, json = Completion.model | {
- 'messages' : messages,
- 'key' : '',
- 'prompt' : prompt
- })
-
- return T3nsorResponse({
- 'id' : f'cmpl-1337-{int(time())}',
- 'object' : 'text_completion',
- 'created': int(time()),
- 'model' : Completion.model,
- 'choices': [{
- 'text' : response.text,
- 'index' : 0,
- 'logprobs' : None,
- 'finish_reason' : 'stop'
- }],
- 'usage': {
- 'prompt_chars' : len(prompt),
- 'completion_chars' : len(response.text),
- 'total_chars' : len(prompt) + len(response.text)
- }
- })
-
-class StreamCompletion:
- model = {
- 'model': {
- 'id' : 'gpt-3.5-turbo',
- 'name' : 'Default (GPT-3.5)'
- }
- }
-
- def create(
- prompt: str = 'hello world',
- messages: list = []) -> T3nsorResponse:
-
- print('t3nsor api is down, this may not work, refer to another module')
-
- response = post('https://www.t3nsor.tech/api/chat', headers = headers, stream = True, json = Completion.model | {
- 'messages' : messages,
- 'key' : '',
- 'prompt' : prompt
- })
-
- for chunk in response.iter_content(chunk_size = 2046):
- yield T3nsorResponse({
- 'id' : f'cmpl-1337-{int(time())}',
- 'object' : 'text_completion',
- 'created': int(time()),
- 'model' : Completion.model,
-
- 'choices': [{
- 'text' : chunk.decode(),
- 'index' : 0,
- 'logprobs' : None,
- 'finish_reason' : 'stop'
- }],
-
- 'usage': {
- 'prompt_chars' : len(prompt),
- 'completion_chars' : len(chunk.decode()),
- 'total_chars' : len(prompt) + len(chunk.decode())
- }
- })