discontinue ora.sh api

README.md

@@ -23,7 +23,6 @@ By the way, thank you so much for `2k` stars and all the support!!
   - [`quora (poe)`](./quora/README.md)
   - [`phind`](./phind/README.md)
   - [`t3nsor`](./t3nsor/README.md)
-  - [`ora`](./ora/README.md)
   - [`writesonic`](./writesonic/README.md)
   - [`you`](./you/README.md)
   - [`sqlchat`](./sqlchat/README.md)
@@ -44,7 +43,6 @@ By the way, thank you so much for `2k` stars and all the support!!
 
 | Website                                              | Model(s)                        |
 | ---------------------------------------------------- | ------------------------------- |
-| [ora.sh](https://ora.sh)                             | GPT-3.5 / 4                     |
 | [poe.com](https://poe.com)                           | GPT-4/3.5                       |
 | [writesonic.com](https://writesonic.com)             | GPT-3.5 / Internet              |
 | [t3nsor.com](https://t3nsor.com)                     | GPT-3.5                         |
@@ -64,8 +62,7 @@ By the way, thank you so much for `2k` stars and all the support!!
 - why not `ora` anymore ? gpt-4 requires login + limited
 
 #### gpt-3.5
-- [`/ora`](./ora/README.md) 
-- only stable api at the moment ( for gpt-3.5, gpt-4 is dead)
+- looking for a stable api at the moment
 
 ## Install  <a name="install"></a>
 download or clone this GitHub repo  

ora/README.md

@@ -1,49 +0,0 @@
-### Example: `ora` (use like openai pypi package) <a name="example-ora"></a>
-
-### load model (new)
-
-more gpt4 models in `/testing/ora_gpt4.py`
-
-find the userid by visiting https://ora.sh/api/auth/session ( must be logged in on the site )   
-and session_token in the cookies, it should be: __Secure-next-auth.session-token
-
-```python
-# if using CompletionModel.load set these
-ora.user_id = '...'
-ora.session_token = '...'
-
-# normal gpt-4: b8b12eaa-5d47-44d3-92a6-4d706f2bcacf
-model = ora.CompletionModel.load(chatbot_id, 'gpt-4') # or gpt-3.5
-```
-
-#### create model / chatbot: 
-```python
-# import ora
-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)
-
-while True:
-    # pass in conversationId to continue conversation
-    
-    prompt = input('>>> ')
-    response = ora.Completion.create(
-        model  = model,
-        prompt = prompt,
-        includeHistory = True, # remember history
-        conversationId = init.id)
-    
-    print(response.completion.choices[0].text)
-```

ora/__init__.py

@@ -1,62 +0,0 @@
-from ora.model  import CompletionModel
-from ora.typing import OraResponse
-from requests   import post
-from time       import time
-from random     import randint
-from ora._jwt   import do_jwt
-
-user_id = None
-session_token = None
-
-class Completion:
-    def create(
-        model : CompletionModel,
-        prompt: str,
-        includeHistory: bool = True,
-        conversationId: str or None = None) -> OraResponse:
-        extra = {
-            'conversationId': conversationId} if conversationId else {}
-        
-        cookies = {
-            "cookie"        : f"__Secure-next-auth.session-token={session_token}"} if session_token else {}
-        
-        json_data = extra | {
-                'chatbotId': model.id,
-                'input'    : prompt,
-                'userId'   : user_id if user_id else model.createdBy, 
-                'model'    : model.modelName,
-                'provider' : 'OPEN_AI',
-                'includeHistory': includeHistory}
-        
-
-        response = post('https://ora.sh/api/conversation',
-            headers = cookies | {
-                "host"          : "ora.sh",
-                "authorization" : f"Bearer AY0{randint(1111, 9999)}",
-                "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",
-                "origin"        : "https://ora.sh",
-                "referer"       : "https://ora.sh/chat/",
-                "x-signed-token": do_jwt(json_data)
-            },
-            json = json_data).json()
-        
-        if response.get('error'):
-            raise Exception('''set ora.user_id and ora.session_token\napi response: %s''' % response['error'])
-
-        return OraResponse({
-            'id'     : response['conversationId'], 
-            'object' : 'text_completion', 
-            'created': int(time()),
-            'model'  : model.slug, 
-            'choices': [{
-                    'text'          : response['response'], 
-                    'index'         : 0, 
-                    'logprobs'      : None, 
-                    'finish_reason' : 'stop'
-            }],
-            'usage': {
-                'prompt_tokens'     : len(prompt), 
-                'completion_tokens' : len(response['response']), 
-                'total_tokens'      : len(prompt) + len(response['response'])
-            }
-        })

ora/_jwt.py

@@ -1,75 +0,0 @@
-import jwt
-from   datetime import datetime, timedelta
-# from   cryptography.hazmat.primitives import serialization
-# from   cryptography.hazmat.primitives.serialization import load_pem_private_key
-# from   cryptography.hazmat.backends import default_backend
-
-
-def do_jwt(json_data: dict):
-
-    private_key = b'''-----BEGIN RSA PRIVATE KEY-----
-MIIJKAIBAAKCAgEAxv9TLZP2TnsR512LqzT52N6Z9ixKmUA11jy0IXH0dEbdbfBw
-eeWrXoTuIYcY8Dkg/+q33ppfujYfb0z22bs/CZ63+jBL2UmxG/0XIzmsQlHSgJd/
-rnbERwIt7/ZjOHAcNrAzI0N11AI8AT0+M3XFOGRoIKzoc3Juxl7eyyPPEkNZMkEv
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-spd4eADxTm2m0GR7bhVEIbYfc0aAzIoWDpVs4V3vmx+bdRbppFxV1aS/r0g=
------END RSA PRIVATE KEY-----'''
-
-    header = {
-        'alg': 'RS256',
-        'typ': 'JWT',
-        'kid': '1c8a5da7-527e-4bee-aa8d-aabda16c59ce'
-    }
-
-    payload = {
-        **json_data,
-        'iat': int(datetime.now().timestamp()),
-        'exp': int((datetime.now() + timedelta(minutes=10)).timestamp()),
-        'iss': 'https://rick.roll'
-    }
-
-    return jwt.encode(payload, private_key, algorithm='RS256', headers=header)

ora/model.py

@@ -1,57 +0,0 @@
-from uuid     import uuid4
-from requests import post
-
-class CompletionModel:
-    system_prompt = None
-    description   = None
-    createdBy     = None
-    createdAt     = None
-    slug          = None
-    id            = None
-    modelName     = None
-    model         = 'gpt-3.5-turbo'
-    
-    def create(
-        system_prompt: str = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible', 
-        description  : str = 'ChatGPT Openai Language Model',
-        name         : str = 'gpt-3.5'):
-
-        CompletionModel.system_prompt = system_prompt
-        CompletionModel.description   = description
-        CompletionModel.slug          = name
-        
-        json_data = {
-            'prompt'     : system_prompt,
-            'userId'     : f'auto:{uuid4()}',
-            'name'       : name,
-            'description': description}
-        
-        headers = {
-            'Origin'    : 'https://ora.sh',
-            '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',
-            'Referer'   : 'https://ora.sh/',
-            'Host'      : 'ora.sh',
-        }
-        
-        response = post('https://ora.sh/api/assistant', headers = headers, json = json_data)
-        
-        print(response.json())
-        
-        CompletionModel.id        = response.json()['id']
-        CompletionModel.createdBy = response.json()['createdBy']
-        CompletionModel.createdAt = response.json()['createdAt']
-        
-        return CompletionModel
-    
-    def load(chatbotId: str, modelName: str = 'gpt-3.5-turbo', userId: str = None):
-        if userId is None: userId = f'{uuid4()}'
-
-        CompletionModel.system_prompt = None
-        CompletionModel.description   = None
-        CompletionModel.slug          = None
-        CompletionModel.id        = chatbotId
-        CompletionModel.createdBy = userId
-        CompletionModel.createdAt = None
-        CompletionModel.modelName = modelName
-        
-        return CompletionModel

ora/typing.py

@@ -1,39 +0,0 @@
-class OraResponse:
-    
-    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_tokens']
-            self.completion_tokens  = usage_dict['completion_tokens']
-            self.total_tokens       = usage_dict['total_tokens']
-
-        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

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)

testing/ora_gpt4.py

@@ -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

testing/ora_gpt4_proof.py

@@ -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.

testing/you_test.py → you_test.py

@@ -4,7 +4,7 @@ import you
 response = you.Completion.create(
     prompt       = "hello world",
     detailed     = True,
-    includelinks = True,)
+    includelinks = True)
 
 print(response)