discontinue ora.sh api
This commit is contained in:
t.me/xtekky
parent
c7f00a9dac
commit
e341c75e5e
15 changed files with 2 additions and 371 deletions
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@ -23,7 +23,6 @@ By the way, thank you so much for `2k` stars and all the support!!
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- [`quora (poe)`](./quora/README.md)
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- [`quora (poe)`](./quora/README.md)
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- [`phind`](./phind/README.md)
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- [`phind`](./phind/README.md)
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- [`t3nsor`](./t3nsor/README.md)
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- [`t3nsor`](./t3nsor/README.md)
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- [`ora`](./ora/README.md)
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- [`writesonic`](./writesonic/README.md)
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- [`writesonic`](./writesonic/README.md)
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- [`you`](./you/README.md)
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- [`you`](./you/README.md)
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- [`sqlchat`](./sqlchat/README.md)
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- [`sqlchat`](./sqlchat/README.md)
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@ -44,7 +43,6 @@ By the way, thank you so much for `2k` stars and all the support!!
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| Website | Model(s) |
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| Website | Model(s) |
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| ---------------------------------------------------- | ------------------------------- |
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| ---------------------------------------------------- | ------------------------------- |
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| [ora.sh](https://ora.sh) | GPT-3.5 / 4 |
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| [poe.com](https://poe.com) | GPT-4/3.5 |
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| [poe.com](https://poe.com) | GPT-4/3.5 |
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| [writesonic.com](https://writesonic.com) | GPT-3.5 / Internet |
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| [writesonic.com](https://writesonic.com) | GPT-3.5 / Internet |
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| [t3nsor.com](https://t3nsor.com) | GPT-3.5 |
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| [t3nsor.com](https://t3nsor.com) | GPT-3.5 |
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@ -64,8 +62,7 @@ By the way, thank you so much for `2k` stars and all the support!!
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- why not `ora` anymore ? gpt-4 requires login + limited
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- why not `ora` anymore ? gpt-4 requires login + limited
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#### gpt-3.5
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#### gpt-3.5
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- [`/ora`](./ora/README.md)
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- looking for a stable api at the moment
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- only stable api at the moment ( for gpt-3.5, gpt-4 is dead)
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## Install <a name="install"></a>
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## Install <a name="install"></a>
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download or clone this GitHub repo
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download or clone this GitHub repo
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@ -1,49 +0,0 @@
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### Example: `ora` (use like openai pypi package) <a name="example-ora"></a>
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### load model (new)
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more gpt4 models in `/testing/ora_gpt4.py`
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find the userid by visiting https://ora.sh/api/auth/session ( must be logged in on the site )
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and session_token in the cookies, it should be: __Secure-next-auth.session-token
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```python
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# if using CompletionModel.load set these
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ora.user_id = '...'
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ora.session_token = '...'
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# normal gpt-4: b8b12eaa-5d47-44d3-92a6-4d706f2bcacf
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model = ora.CompletionModel.load(chatbot_id, 'gpt-4') # or gpt-3.5
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```
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#### create model / chatbot:
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```python
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# import ora
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import ora
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# create model
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model = ora.CompletionModel.create(
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system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
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description = 'ChatGPT Openai Language Model',
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name = 'gpt-3.5')
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# init conversation (will give you a conversationId)
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init = ora.Completion.create(
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model = model,
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prompt = 'hello world')
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print(init.completion.choices[0].text)
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while True:
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# pass in conversationId to continue conversation
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prompt = input('>>> ')
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response = ora.Completion.create(
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model = model,
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prompt = prompt,
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includeHistory = True, # remember history
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conversationId = init.id)
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print(response.completion.choices[0].text)
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```
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@ -1,62 +0,0 @@
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from ora.model import CompletionModel
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from ora.typing import OraResponse
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from requests import post
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from time import time
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from random import randint
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from ora._jwt import do_jwt
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user_id = None
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session_token = None
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class Completion:
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def create(
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model : CompletionModel,
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prompt: str,
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includeHistory: bool = True,
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conversationId: str or None = None) -> OraResponse:
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extra = {
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'conversationId': conversationId} if conversationId else {}
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cookies = {
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"cookie" : f"__Secure-next-auth.session-token={session_token}"} if session_token else {}
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json_data = extra | {
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'chatbotId': model.id,
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'input' : prompt,
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'userId' : user_id if user_id else model.createdBy,
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'model' : model.modelName,
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'provider' : 'OPEN_AI',
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'includeHistory': includeHistory}
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response = post('https://ora.sh/api/conversation',
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headers = cookies | {
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"host" : "ora.sh",
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"authorization" : f"Bearer AY0{randint(1111, 9999)}",
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"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",
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"origin" : "https://ora.sh",
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"referer" : "https://ora.sh/chat/",
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"x-signed-token": do_jwt(json_data)
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},
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json = json_data).json()
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if response.get('error'):
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raise Exception('''set ora.user_id and ora.session_token\napi response: %s''' % response['error'])
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return OraResponse({
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'id' : response['conversationId'],
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'object' : 'text_completion',
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'created': int(time()),
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'model' : model.slug,
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'choices': [{
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'text' : response['response'],
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'index' : 0,
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'logprobs' : None,
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'finish_reason' : 'stop'
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}],
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'usage': {
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'prompt_tokens' : len(prompt),
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'completion_tokens' : len(response['response']),
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'total_tokens' : len(prompt) + len(response['response'])
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}
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})
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75
ora/_jwt.py
75
ora/_jwt.py
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@ -1,75 +0,0 @@
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import jwt
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from datetime import datetime, timedelta
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# from cryptography.hazmat.primitives import serialization
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# from cryptography.hazmat.primitives.serialization import load_pem_private_key
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# from cryptography.hazmat.backends import default_backend
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def do_jwt(json_data: dict):
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private_key = b'''-----BEGIN RSA PRIVATE KEY-----
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MIIJKAIBAAKCAgEAxv9TLZP2TnsR512LqzT52N6Z9ixKmUA11jy0IXH0dEbdbfBw
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eeWrXoTuIYcY8Dkg/+q33ppfujYfb0z22bs/CZ63+jBL2UmxG/0XIzmsQlHSgJd/
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rnbERwIt7/ZjOHAcNrAzI0N11AI8AT0+M3XFOGRoIKzoc3Juxl7eyyPPEkNZMkEv
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lYfDN5AMD/+4pZ+7SCEzUCyGtBejW2P+NwTvjBxhLjIoG+m7yh81RoIBnO+Z1o5X
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ZtospuWZe1L6GNh+zezeHIyBGYgGgYbPboQ8QeHhoh+n0PuZB0GQqorqfxHjB38t
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yB4qsRGi10UNcohvFhglZk8kdMYBTd0M5ik5t4sx/ujjF57gX7dCKipHimDy7McY
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ElVLTDoSkwD/Lg3tV0utky42dL/iIMePlHfMrw/m2oAm33/dCaiAW8grNkJPjcwo
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Y8pnqpFGgAZX+6WalQCfoSStV4kYYlaq11DB6dZjDYoKLRIyH7MCAmMxms9569qe
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5gFuyQWTZgXlKoj2Zd7XIaIs5s/A6PFt7sxk8mOY/DspSbygZZCnMH3+or/8trH2
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p0fGEkqpzMKAY6TYtdYhOyTbup3VOKQwhk8b5CPuEWZutE6pT0O2O81MkuEEl/Zw
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/M1MJERTIjGAThsL0yvEn1Gi5HXl7s/5E61Yvc0ItORqio70PZcToRII27ECAwEA
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AQKCAgEAle0H3e78Q2S1uHriH7tqAdq0ZKQ6D/wwk5honkocwv4hFhNwqmY/FpdQ
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UjJWt6ZTFnzgyvXD6aedR13VHXXVqInMUtLQUoUSyuOD6yYogk7jKb76k5cnidg6
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g/A+EOdmWk2mOYs52uFUFBrwIhU44aPET9n1yAUPMKWJdcMk372eFh7GmwIOMm50
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qBkiJKaTk2RwJJdnZYfpq5FKlmlBkW5QSV3AmkcfFMkuelC4pmReoyfa8cKuoY+a
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cy+w/ccewkcTkK7LFVFGlY/b+IfoXjqwpFT1Op5UTQM420SOJ+5x/dPzyjHwODfx
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V/7OgtwH1b2bb9lwvgnwMZm5fi7RLAOC5BaSrZUb8WtVaaKURzXgdE+5LO/xXYCy
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JECbRQ5o4H4CwOc3mvJZL0O/dwPKoTccjELc8HOcogdy+hrJPXFl+oXy3yKUmf5L
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+4ZS+COJEM+A7UgFacxdQ9C4bL5ZgjgLxMEsCIjwBN1i/bMEKpj46ulH23I57F1S
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DQLEaColCbh3ziogoANYMKiqaJUacnH5S5e1/aW3jgVK85NsMJT9hsODXyHup/CF
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RT3jeJA5cRj+04KI33cH2F5X9MhPB0a2Zo0Io813l95d2Wuk9rnadNCr8+h3b/nM
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liO8Pzt0ELjxwxUWB9kPKLNZwVa0hq4snJThZQBrlMQcuH8BmitS5vZDVwiRLGVR
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7jBlOEe2xOVbCsBLfCW7tmeKCv4cc8digITGemig4NgCs6W03gJPnvnvvHMnuF3u
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8YjD9kWWEpQr37pT6QSdhwzKMAOeHbhh/CQO/sl+fBLbcYikQa0HIuvj+29w0/jv
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whVfsJxCvs6fCTMYjQE7GdTcGmCbvs+x7TrXuqeT8ycCggEAWr4Un/KAUjGd57Vm
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N2Sv6+OrloC0qdExM6UHA7roHqIwJg++G8nCDNYxaLGYiurCki3Ime1vORy+XuMc
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RMIpnoC2kcDGtZ7XTqJ1RXlnBZdz0zt2AoRT7JYid3EUYyRJTlCEceNI7bQKsRNL
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xKe3Mc/ao1dJEWN/FRDAmeg6nEOuG+G/voC3d4YO5HPTf6/Uj5GS6CQfYtUR12A3
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8fZ90f4Jer6+9ePEXWTftiqoDL9T8qPzLU+kMuRF8VzZcS472Ix3h1iWCoZjBJv/
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zQZHbgEcTtXHbfrvxkjSRopDTprljCi5AoIBAGc6M8/FH1pLgxOgS6oEGJAtErxv
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EnmELzKvfwBryphx8f0S5sHoiqli+5dqFtw5h5yy/pXrNzLi0LfpmFzxbChfO8ai
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omC/oqxU0FKqY2msFYdnfwM3PZeZ3c7LALLhWG56/fIYMtV78+cfqkRPM8nRJXaF
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Aza2YTTZGfh3x10KnSLWUmhIWUEj8VzCNW7SR0Ecqa+ordAYio4wBsq7sO3sCw8G
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Oi0/98ondhGJWL3M6FDGai8dXewt+8o0dlq95mHkNNopCWbPI71pM7u4ABPL50Yd
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spd4eADxTm2m0GR7bhVEIbYfc0aAzIoWDpVs4V3vmx+bdRbppFxV1aS/r0g=
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-----END RSA PRIVATE KEY-----'''
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header = {
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'alg': 'RS256',
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'typ': 'JWT',
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'kid': '1c8a5da7-527e-4bee-aa8d-aabda16c59ce'
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}
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payload = {
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**json_data,
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'iat': int(datetime.now().timestamp()),
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'exp': int((datetime.now() + timedelta(minutes=10)).timestamp()),
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'iss': 'https://rick.roll'
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}
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return jwt.encode(payload, private_key, algorithm='RS256', headers=header)
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57
ora/model.py
57
ora/model.py
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@ -1,57 +0,0 @@
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from uuid import uuid4
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from requests import post
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class CompletionModel:
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system_prompt = None
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description = None
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createdBy = None
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createdAt = None
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slug = None
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id = None
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modelName = None
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model = 'gpt-3.5-turbo'
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def create(
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system_prompt: str = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
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description : str = 'ChatGPT Openai Language Model',
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name : str = 'gpt-3.5'):
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CompletionModel.system_prompt = system_prompt
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CompletionModel.description = description
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CompletionModel.slug = name
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json_data = {
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'prompt' : system_prompt,
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'userId' : f'auto:{uuid4()}',
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'name' : name,
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'description': description}
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headers = {
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'Origin' : 'https://ora.sh',
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.4 Safari/605.1.15',
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'Referer' : 'https://ora.sh/',
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'Host' : 'ora.sh',
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}
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response = post('https://ora.sh/api/assistant', headers = headers, json = json_data)
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print(response.json())
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CompletionModel.id = response.json()['id']
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CompletionModel.createdBy = response.json()['createdBy']
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CompletionModel.createdAt = response.json()['createdAt']
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return CompletionModel
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def load(chatbotId: str, modelName: str = 'gpt-3.5-turbo', userId: str = None):
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if userId is None: userId = f'{uuid4()}'
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CompletionModel.system_prompt = None
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CompletionModel.description = None
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CompletionModel.slug = None
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CompletionModel.id = chatbotId
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CompletionModel.createdBy = userId
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CompletionModel.createdAt = None
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CompletionModel.modelName = modelName
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return CompletionModel
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||||||
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@ -1,39 +0,0 @@
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||||||
class OraResponse:
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||||||
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||||||
class Completion:
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||||||
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||||||
class Choices:
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||||||
def __init__(self, choice: dict) -> None:
|
|
||||||
self.text = choice['text']
|
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||||||
self.content = self.text.encode()
|
|
||||||
self.index = choice['index']
|
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||||||
self.logprobs = choice['logprobs']
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||||||
self.finish_reason = choice['finish_reason']
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||||||
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||||||
def __repr__(self) -> str:
|
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||||||
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>'''
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||||||
|
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||||||
def __init__(self, choices: dict) -> None:
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self.choices = [self.Choices(choice) for choice in choices]
|
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||||||
|
|
||||||
class Usage:
|
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||||||
def __init__(self, usage_dict: dict) -> None:
|
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||||||
self.prompt_tokens = usage_dict['prompt_tokens']
|
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||||||
self.completion_tokens = usage_dict['completion_tokens']
|
|
||||||
self.total_tokens = usage_dict['total_tokens']
|
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||||||
|
|
||||||
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
|
|
||||||
15
ora_test.py
15
ora_test.py
|
|
@ -1,15 +0,0 @@
|
||||||
import ora
|
|
||||||
|
|
||||||
|
|
||||||
# create model
|
|
||||||
model = ora.CompletionModel.create(
|
|
||||||
system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
|
|
||||||
description = 'ChatGPT Openai Language Model',
|
|
||||||
name = 'gpt-3.5')
|
|
||||||
|
|
||||||
# init conversation (will give you a conversationId)
|
|
||||||
init = ora.Completion.create(
|
|
||||||
model = model,
|
|
||||||
prompt = 'hello world')
|
|
||||||
|
|
||||||
print(init.completion.choices[0].text)
|
|
||||||
|
|
@ -1,45 +0,0 @@
|
||||||
import ora
|
|
||||||
|
|
||||||
ora.user_id = '...'
|
|
||||||
ora.session_token = '...'
|
|
||||||
|
|
||||||
gpt4_chatbot_ids = ['b8b12eaa-5d47-44d3-92a6-4d706f2bcacf', 'fbe53266-673c-4b70-9d2d-d247785ccd91', 'bd5781cf-727a-45e9-80fd-a3cfce1350c6', '993a0102-d397-47f6-98c3-2587f2c9ec3a', 'ae5c524e-d025-478b-ad46-8843a5745261', 'cc510743-e4ab-485e-9191-76960ecb6040', 'a5cd2481-8e24-4938-aa25-8e26d6233390', '6bca5930-2aa1-4bf4-96a7-bea4d32dcdac', '884a5f2b-47a2-47a5-9e0f-851bbe76b57c', 'd5f3c491-0e74-4ef7-bdca-b7d27c59e6b3', 'd72e83f6-ef4e-4702-844f-cf4bd432eef7', '6e80b170-11ed-4f1a-b992-fd04d7a9e78c', '8ef52d68-1b01-466f-bfbf-f25c13ff4a72', 'd0674e11-f22e-406b-98bc-c1ba8564f749', 'a051381d-6530-463f-be68-020afddf6a8f', '99c0afa1-9e32-4566-8909-f4ef9ac06226', '1be65282-9c59-4a96-99f8-d225059d9001', 'dba16bd8-5785-4248-a8e9-b5d1ecbfdd60', '1731450d-3226-42d0-b41c-4129fe009524', '8e74635d-000e-4819-ab2c-4e986b7a0f48', 'afe7ed01-c1ac-4129-9c71-2ca7f3800b30', 'e374c37a-8c44-4f0e-9e9f-1ad4609f24f5']
|
|
||||||
chatbot_id = gpt4_chatbot_ids[0]
|
|
||||||
|
|
||||||
model = ora.CompletionModel.load(chatbot_id, 'gpt-4')
|
|
||||||
response = ora.Completion.create(model, 'hello')
|
|
||||||
|
|
||||||
print(response.completion.choices[0].text)
|
|
||||||
conversation_id = response.id
|
|
||||||
|
|
||||||
while True:
|
|
||||||
# pass in conversationId to continue conversation
|
|
||||||
|
|
||||||
prompt = input('>>> ')
|
|
||||||
response = ora.Completion.create(
|
|
||||||
model = model,
|
|
||||||
prompt = prompt,
|
|
||||||
includeHistory = True, # remember history
|
|
||||||
conversationId = conversation_id)
|
|
||||||
|
|
||||||
print(response.completion.choices[0].text)
|
|
||||||
|
|
||||||
|
|
||||||
# bots :
|
|
||||||
# 1 normal
|
|
||||||
# 2 solidity contract helper
|
|
||||||
# 3 swift project helper
|
|
||||||
# 4 developer gpt
|
|
||||||
# 5 lawsuit bot for spam call
|
|
||||||
# 6 p5.js code help bot
|
|
||||||
# 8 AI professor, for controversial topics
|
|
||||||
# 9 HustleGPT, your entrepreneurial AI
|
|
||||||
# 10 midjourney prompts bot
|
|
||||||
# 11 AI philosophy professor
|
|
||||||
# 12 TypeScript and JavaScript code review bot
|
|
||||||
# 13 credit card transaction details to merchant and location bot
|
|
||||||
# 15 Chemical Compound Similarity and Purchase Tool bot
|
|
||||||
# 16 expert full-stack developer AI
|
|
||||||
# 17 Solana development bot
|
|
||||||
# 18 price guessing game bot
|
|
||||||
# 19 AI Ethicist and Philosopher
|
|
||||||
|
|
@ -1,24 +0,0 @@
|
||||||
import ora
|
|
||||||
|
|
||||||
complex_question = '''
|
|
||||||
James is talking to two people, his father, and his friend.
|
|
||||||
|
|
||||||
Douglas asks him, "What did you do today James?"
|
|
||||||
James replies, "I went on a fishing trip."
|
|
||||||
Josh then asks, "Did you catch anything?"
|
|
||||||
James replies, "Yes, I caught a couple of nice rainbow trout. It was a lot of fun."
|
|
||||||
Josh replies, "Good job son, tell your mother we should eat them tonight, she'll be very happy."
|
|
||||||
Douglas then says, "I wish my family would eat fish tonight, my father is making pancakes."
|
|
||||||
|
|
||||||
Question: Who is James' father?
|
|
||||||
'''
|
|
||||||
|
|
||||||
# right answer is josh
|
|
||||||
|
|
||||||
model = ora.CompletionModel.load('b8b12eaa-5d47-44d3-92a6-4d706f2bcacf', 'gpt-4')
|
|
||||||
# init conversation (will give you a conversationId)
|
|
||||||
init = ora.Completion.create(
|
|
||||||
model = model,
|
|
||||||
prompt = complex_question)
|
|
||||||
|
|
||||||
print(init.completion.choices[0].text) # James' father is Josh.
|
|
||||||
0
v2.py
Normal file
0
v2.py
Normal file
|
|
@ -4,7 +4,7 @@ import you
|
||||||
response = you.Completion.create(
|
response = you.Completion.create(
|
||||||
prompt = "hello world",
|
prompt = "hello world",
|
||||||
detailed = True,
|
detailed = True,
|
||||||
includelinks = True,)
|
includelinks = True)
|
||||||
|
|
||||||
print(response)
|
print(response)
|
||||||
|
|
||||||
Loading…
Reference in a new issue