remove phind

README.md

@@ -40,7 +40,6 @@ Please note the following:
 | **Usage Examples** | | | |
 | `forefront` | Example usage for forefront (gpt-4) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./forefront/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | | |
 | `quora (poe)` | Example usage for quora | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./quora/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | |
-| `phind` | Example usage for phind | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./phind/README.md) | ![Inactive](https://img.shields.io/badge/Active-brightgreen) |
 | `you` | Example usage for you | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./you/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
 | **Try it Out** | | | |
 | Google Colab Jupyter Notebook | Example usage for gpt4free | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DanielShemesh/gpt4free-colab/blob/main/gpt4free.ipynb) | - |
@@ -65,7 +64,6 @@ Please note the following:
 | [writesonic.com](https://writesonic.com)             | GPT-3.5 / Internet              |
 | [t3nsor.com](https://t3nsor.com)                     | GPT-3.5                         |
 | [you.com](https://you.com)                           | GPT-3.5 / Internet / good search|
-| [phind.com](https://phind.com)                       | GPT-4 / Internet / good search  |
 | [sqlchat.ai](https://sqlchat.ai)                     | GPT-3.5                         |
 | [chat.openai.com/chat](https://chat.openai.com/chat) | GPT-3.5                         |
 | [bard.google.com](https://bard.google.com)           | custom / search                 |
@@ -75,13 +73,10 @@ Please note the following:
 ## Best sites  <a name="best-sites"></a>
 
 #### gpt-4
-- [`/phind`](./phind/README.md) 
+- [`/forefront`](./forefront/README.md)
-- pro: only stable gpt-4 with streaming ( no limit )
-- contra: weird backend prompting 
-- why not `ora` anymore ? gpt-4 requires login + limited
 
 #### gpt-3.5
-- looking for a stable api at the moment
+- [`/you`](./you/README.md)
 
 ## Install  <a name="install"></a>
 download or clone this GitHub repo  

gui/README.md

@@ -1,9 +1,11 @@
 # gpt4free gui
 
+mode `streamlit_app.py` into base folder to run
+
+
 preview:  
-
 <img width="1125" alt="image" src="https://user-images.githubusercontent.com/98614666/234232398-09e9d3c5-08e6-4b8a-b4f2-0666e9790c7d.png">    
-      
-run:    
 
+
+run:    
 <img width="724" alt="image" src="https://user-images.githubusercontent.com/98614666/234232449-0d5cd092-a29d-4759-8197-e00ba712cb1a.png">   

gui/streamlit_app.py

@@ -4,25 +4,16 @@ import sys
 sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
 
 import streamlit as st
-import phind
+import you
-
-# Set cloudflare clearance and user agent
-phind.cloudflare_clearance = ''
-phind.phind_api = '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'
-
 
 def get_answer(question: str) -> str:
     # Set cloudflare clearance cookie and get answer from GPT-4 model
     try:
-        result = phind.Completion.create(
+        result = you.Completion.create(
-            model='gpt-4',
+            prompt = question)
-            prompt=question,
+        
-            results=phind.Search.create(question, actualSearch=True),
+        return result['response']
-            creative=False,
+    
-            detailed=False,
-            codeContext=''
-        )
-        return result.completion.choices[0].text
     except Exception as e:
         # Return error message if an exception occurs
         return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'

phind/README.md

@@ -1,34 +0,0 @@
-### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
-
-```python
-import phind
-
-# set cf_clearance cookie (needed again)
-phind.cf_clearance = 'xx.xx-1682166681-0-160'
-phind.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' # same as the one from browser you got cf_clearance from
-
-prompt = 'who won the quatar world cup'
-
-# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
-# stream completion
-for result in phind.StreamingCompletion.create(
-    model  = 'gpt-4',
-    prompt = prompt,
-    results     = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
-    creative    = False,
-    detailed    = False,
-    codeContext = ''):  # up to 3000 chars of code
-
-    print(result.completion.choices[0].text, end='', flush=True)
-
-# normal completion
-result = phind.Completion.create(
-    model  = 'gpt-4',
-    prompt = prompt,
-    results     = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
-    creative    = False,
-    detailed    = False,
-    codeContext = '') # up to 3000 chars of code
-
-print(result.completion.choices[0].text)
-```

phind/__init__.py

@@ -1,289 +0,0 @@
-from datetime import datetime
-from queue import Queue, Empty
-from threading import Thread
-from time import time
-from urllib.parse import quote
-
-from curl_cffi.requests import post
-
-cf_clearance = ''
-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 PhindResponse:
-    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 = list(map(self.Choices, 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
-
-
-class Search:
-    def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict:  # None = no search
-        if user_agent == '':
-            raise ValueError('user_agent must be set, refer to documentation')
-        if cf_clearance == '':
-            raise ValueError('cf_clearance must be set, refer to documentation')
-
-        if not actualSearch:
-            return {
-                '_type': 'SearchResponse',
-                'queryContext': {
-                    'originalQuery': prompt
-                },
-                'webPages': {
-                    'webSearchUrl': f'https://www.bing.com/search?q={quote(prompt)}',
-                    'totalEstimatedMatches': 0,
-                    'value': []
-                },
-                'rankingResponse': {
-                    'mainline': {
-                        'items': []
-                    }
-                }
-            }
-
-        headers = {
-            'authority': 'www.phind.com',
-            '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',
-            'cookie': f'cf_clearance={cf_clearance}',
-            'origin': 'https://www.phind.com',
-            'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
-            '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': user_agent
-        }
-
-        return post('https://www.phind.com/api/bing/search', headers=headers, json={
-            'q': prompt,
-            'userRankList': {},
-            'browserLanguage': language}).json()['rawBingResults']
-
-
-class Completion:
-    def create(
-            model='gpt-4',
-            prompt: str = '',
-            results: dict = None,
-            creative: bool = False,
-            detailed: bool = False,
-            codeContext: str = '',
-            language: str = 'en') -> PhindResponse:
-
-        if user_agent == '':
-            raise ValueError('user_agent must be set, refer to documentation')
-
-        if cf_clearance == '':
-            raise ValueError('cf_clearance must be set, refer to documentation')
-
-        if results is None:
-            results = Search.create(prompt, actualSearch=True)
-
-        if len(codeContext) > 2999:
-            raise ValueError('codeContext must be less than 3000 characters')
-
-        models = {
-            'gpt-4': 'expert',
-            'gpt-3.5-turbo': 'intermediate',
-            'gpt-3.5': 'intermediate',
-        }
-
-        json_data = {
-            'question': prompt,
-            'bingResults': results,  # response.json()['rawBingResults'],
-            'codeContext': codeContext,
-            'options': {
-                'skill': models[model],
-                'date': datetime.now().strftime("%d/%m/%Y"),
-                'language': language,
-                'detailed': detailed,
-                'creative': creative
-            }
-        }
-
-        headers = {
-            'authority': 'www.phind.com',
-            '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',
-            'content-type': 'application/json',
-            'cookie': f'cf_clearance={cf_clearance}',
-            'origin': 'https://www.phind.com',
-            'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
-            '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': user_agent
-        }
-
-        completion = ''
-        response = post('https://www.phind.com/api/infer/answer', headers=headers, json=json_data, timeout=99999,
-                        impersonate='chrome110')
-        for line in response.text.split('\r\n\r\n'):
-            completion += (line.replace('data: ', ''))
-
-        return PhindResponse({
-            'id': f'cmpl-1337-{int(time())}',
-            'object': 'text_completion',
-            'created': int(time()),
-            'model': models[model],
-            'choices': [{
-                'text': completion,
-                'index': 0,
-                'logprobs': None,
-                'finish_reason': 'stop'
-            }],
-            'usage': {
-                'prompt_tokens': len(prompt),
-                'completion_tokens': len(completion),
-                'total_tokens': len(prompt) + len(completion)
-            }
-        })
-
-
-class StreamingCompletion:
-    message_queue = Queue()
-    stream_completed = False
-
-    def request(model, prompt, results, creative, detailed, codeContext, language) -> None:
-
-        models = {
-            'gpt-4': 'expert',
-            'gpt-3.5-turbo': 'intermediate',
-            'gpt-3.5': 'intermediate',
-        }
-
-        json_data = {
-            'question': prompt,
-            'bingResults': results,
-            'codeContext': codeContext,
-            'options': {
-                'skill': models[model],
-                'date': datetime.now().strftime("%d/%m/%Y"),
-                'language': language,
-                'detailed': detailed,
-                'creative': creative
-            }
-        }
-
-        headers = {
-            'authority': 'www.phind.com',
-            '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',
-            'content-type': 'application/json',
-            'cookie': f'cf_clearance={cf_clearance}',
-            'origin': 'https://www.phind.com',
-            'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
-            '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': user_agent
-        }
-
-        response = post('https://www.phind.com/api/infer/answer',
-                        headers=headers, json=json_data, timeout=99999, impersonate='chrome110',
-                        content_callback=StreamingCompletion.handle_stream_response)
-
-        StreamingCompletion.stream_completed = True
-
-    @staticmethod
-    def create(
-            model: str = 'gpt-4',
-            prompt: str = '',
-            results: dict = None,
-            creative: bool = False,
-            detailed: bool = False,
-            codeContext: str = '',
-            language: str = 'en'):
-
-        if user_agent == '':
-            raise ValueError('user_agent must be set, refer to documentation')
-        if cf_clearance == '':
-            raise ValueError('cf_clearance must be set, refer to documentation')
-
-        if results is None:
-            results = Search.create(prompt, actualSearch=True)
-
-        if len(codeContext) > 2999:
-            raise ValueError('codeContext must be less than 3000 characters')
-
-        Thread(target=StreamingCompletion.request, args=[
-            model, prompt, results, creative, detailed, codeContext, language]).start()
-
-        while StreamingCompletion.stream_completed != True or not StreamingCompletion.message_queue.empty():
-            try:
-                chunk = StreamingCompletion.message_queue.get(timeout=0)
-
-                if chunk == b'data:  \r\ndata: \r\ndata: \r\n\r\n':
-                    chunk = b'data:  \n\n\r\n\r\n'
-
-                chunk = chunk.decode()
-
-                chunk = chunk.replace('data: \r\n\r\ndata: ', 'data: \n')
-                chunk = chunk.replace('\r\ndata: \r\ndata: \r\n\r\n', '\n\n\r\n\r\n')
-                chunk = chunk.replace('data: ', '').replace('\r\n\r\n', '')
-
-                yield PhindResponse({
-                    'id': f'cmpl-1337-{int(time())}',
-                    'object': 'text_completion',
-                    'created': int(time()),
-                    'model': model,
-                    'choices': [{
-                        'text': chunk,
-                        'index': 0,
-                        'logprobs': None,
-                        'finish_reason': 'stop'
-                    }],
-                    'usage': {
-                        'prompt_tokens': len(prompt),
-                        'completion_tokens': len(chunk),
-                        'total_tokens': len(prompt) + len(chunk)
-                    }
-                })
-
-            except Empty:
-                pass
-
-    @staticmethod
-    def handle_stream_response(response):
-        StreamingCompletion.message_queue.put(response)

testing/phind_test.py

@@ -1,34 +0,0 @@
-import phind
-
-# set cf_clearance cookie ( not needed at the moment)
-phind.cf_clearance = 'MDzwnr3ZWk_ap8u.iwwMR5F3WccfOkhUy_zGNDpcF3s-1682497341-0-160'
-phind.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'
-
-prompt = 'hello world'
-
-# normal completion
-result = phind.Completion.create(
-    model='gpt-4',
-    prompt=prompt,
-    results=phind.Search.create(prompt, actualSearch=False),
-    # create search (set actualSearch to False to disable internet)
-    creative=False,
-    detailed=False,
-    codeContext='')  # up to 3000 chars of code
-
-print(result.completion.choices[0].text)
-
-prompt = 'who won the quatar world cup'
-
-# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
-# stream completion
-for result in phind.StreamingCompletion.create(
-        model='gpt-4',
-        prompt=prompt,
-        results=phind.Search.create(prompt, actualSearch=True),
-        # create search (set actualSearch to False to disable internet)
-        creative=False,
-        detailed=False,
-        codeContext=''):  # up to 3000 chars of code
-
-    print(result.completion.choices[0].text, end='', flush=True)

unfinished/easyai/main.py

@@ -1,42 +0,0 @@
-# Import necessary libraries
-from json import loads
-from os import urandom
-
-from requests import get
-
-# Generate a random session ID
-sessionId = urandom(10).hex()
-
-# Set up headers for the API request
-headers = {
-    'Accept': 'text/event-stream',
-    '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',
-    'Connection': 'keep-alive',
-    'Pragma': 'no-cache',
-    'Referer': 'http://easy-ai.ink/chat',
-    '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',
-    'token': 'null',
-}
-
-# Main loop to interact with the AI
-while True:
-    # Get user input
-    prompt = input('you: ')
-
-    # Set up parameters for the API request
-    params = {
-        'message': prompt,
-        'sessionId': sessionId
-    }
-
-    # Send request to the API and process the response
-    for chunk in get('http://easy-ai.ink/easyapi/v1/chat/completions', params=params,
-                     headers=headers, verify=False, stream=True).iter_lines():
-
-        # Check if the chunk contains the 'content' field
-        if b'content' in chunk:
-            # Parse the JSON data and print the content
-            data = loads(chunk.decode('utf-8').split('data:')[1])
-
-            print(data['content'], end='')

you/__init__.py

@@ -57,8 +57,7 @@ class Completion:
             r'(?<=event: youChatSerpResults\ndata:)(.*\n)*?(?=event: )', response.text
         ).group()
         third_party_search_results = re.search(
-            r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text
+            r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text).group()
-        ).group()
         # slots                   = findall(r"slots\ndata: (.*)\n\nevent", response.text)[0]
 
         text = ''.join(re.findall(r'{\"youChatToken\": \"(.*?)\"}', response.text))
@@ -69,7 +68,7 @@ class Completion:
         }
 
         return {
-            'response': text.replace('\\n', '\n').replace('\\\\', '\\'),
+            'response': text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'),
             'links': loads(third_party_search_results)['search']['third_party_search_results']
             if include_links
             else None,