返回提交历史
Modified
README.md
+2
-7
Modified
gui/README.md
+5
-3
Modified
gui/streamlit_app.py
+6
-15
Deleted
phind/README.md
+0
-34
Deleted
phind/__init__.py
+0
-289
Deleted
phind/__pycache__/__init__.cpython-311.pyc
+0
-0
Deleted
testing/phind_test.py
+0
-34
Deleted
unfinished/easyai/main.py
+0
-42
Modified
you/__init__.py
+2
-3
XFEstudio/gpt4free
remove phind
011d0bab
代码差异
9 个文件
+15
-427
@@ -40,7 +40,6 @@ Please note the following:
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| **Usage Examples** | | | |
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| `forefront` | Example usage for forefront (gpt-4) | [](./forefront/README.md) |  | | |
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| `quora (poe)` | Example usage for quora | [](./quora/README.md) |  | |
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| `phind` | Example usage for phind | [](./phind/README.md) |  |
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| `you` | Example usage for you | [](./you/README.md) |  |
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| **Try it Out** | | | |
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| Google Colab Jupyter Notebook | Example usage for gpt4free | [](https://colab.research.google.com/github/DanielShemesh/gpt4free-colab/blob/main/gpt4free.ipynb) | - |
@@ -65,7 +64,6 @@ Please note the following:
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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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| [you.com](https://you.com) | GPT-3.5 / Internet / good search|
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| [phind.com](https://phind.com) | GPT-4 / Internet / good search |
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| [sqlchat.ai](https://sqlchat.ai) | GPT-3.5 |
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| [chat.openai.com/chat](https://chat.openai.com/chat) | GPT-3.5 |
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| [bard.google.com](https://bard.google.com) | custom / search |
@@ -75,13 +73,10 @@ Please note the following:
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## Best sites <a name="best-sites"></a>
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#### gpt-4
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- [`/phind`](./phind/README.md)
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- pro: only stable gpt-4 with streaming ( no limit )
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- contra: weird backend prompting
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- why not `ora` anymore ? gpt-4 requires login + limited
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- [`/forefront`](./forefront/README.md)
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#### gpt-3.5
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- looking for a stable api at the moment
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- [`/you`](./you/README.md)
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## Install <a name="install"></a>
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download or clone this GitHub repo
@@ -1,9 +1,11 @@
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# gpt4free gui
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preview:
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mode `streamlit_app.py` into base folder to run
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preview:
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<img width="1125" alt="image" src="https://user-images.githubusercontent.com/98614666/234232398-09e9d3c5-08e6-4b8a-b4f2-0666e9790c7d.png">
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run:
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run:
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<img width="724" alt="image" src="https://user-images.githubusercontent.com/98614666/234232449-0d5cd092-a29d-4759-8197-e00ba712cb1a.png">
@@ -4,25 +4,16 @@ import sys
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sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
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import streamlit as st
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import phind
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# Set cloudflare clearance and user agent
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phind.cloudflare_clearance = ''
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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'
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import you
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def get_answer(question: str) -> str:
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# Set cloudflare clearance cookie and get answer from GPT-4 model
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try:
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result = phind.Completion.create(
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model='gpt-4',
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prompt=question,
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results=phind.Search.create(question, actualSearch=True),
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creative=False,
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detailed=False,
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codeContext=''
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)
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return result.completion.choices[0].text
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result = you.Completion.create(
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prompt = question)
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return result['response']
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except Exception as e:
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# Return error message if an exception occurs
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return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
@@ -1,34 +0,0 @@
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### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
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```python
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import phind
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# set cf_clearance cookie (needed again)
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phind.cf_clearance = 'xx.xx-1682166681-0-160'
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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
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prompt = 'who won the quatar world cup'
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# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
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# stream completion
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for result in phind.StreamingCompletion.create(
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model = 'gpt-4',
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prompt = prompt,
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results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
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creative = False,
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detailed = False,
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codeContext = ''): # up to 3000 chars of code
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print(result.completion.choices[0].text, end='', flush=True)
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# normal completion
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result = phind.Completion.create(
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model = 'gpt-4',
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prompt = prompt,
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results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
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creative = False,
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detailed = False,
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codeContext = '') # up to 3000 chars of code
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print(result.completion.choices[0].text)
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```
@@ -1,289 +0,0 @@
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from datetime import datetime
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from queue import Queue, Empty
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from threading import Thread
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from time import time
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from urllib.parse import quote
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from curl_cffi.requests import post
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cf_clearance = ''
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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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class PhindResponse:
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class Completion:
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class Choices:
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def __init__(self, choice: dict) -> None:
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self.text = choice['text']
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self.content = self.text.encode()
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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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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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def __init__(self, choices: dict) -> None:
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self.choices = list(map(self.Choices, 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']
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self.total_tokens = usage_dict['total_tokens']
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def __repr__(self):
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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>'''
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def __init__(self, response_dict: dict) -> None:
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self.response_dict = response_dict
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self.id = response_dict['id']
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self.object = response_dict['object']
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self.created = response_dict['created']
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self.model = response_dict['model']
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self.completion = self.Completion(response_dict['choices'])
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self.usage = self.Usage(response_dict['usage'])
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def json(self) -> dict:
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return self.response_dict
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class Search:
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def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict: # None = no search
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if user_agent == '':
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raise ValueError('user_agent must be set, refer to documentation')
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if cf_clearance == '':
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raise ValueError('cf_clearance must be set, refer to documentation')
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if not actualSearch:
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return {
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'_type': 'SearchResponse',
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'queryContext': {
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'originalQuery': prompt
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},
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'webPages': {
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'webSearchUrl': f'https://www.bing.com/search?q={quote(prompt)}',
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'totalEstimatedMatches': 0,
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'value': []
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},
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'rankingResponse': {
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'mainline': {
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'items': []
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}
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}
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}
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headers = {
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'authority': 'www.phind.com',
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'accept': '*/*',
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'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',
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'cookie': f'cf_clearance={cf_clearance}',
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'origin': 'https://www.phind.com',
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'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
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'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': user_agent
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}
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return post('https://www.phind.com/api/bing/search', headers=headers, json={
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'q': prompt,
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'userRankList': {},
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'browserLanguage': language}).json()['rawBingResults']
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class Completion:
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def create(
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model='gpt-4',
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prompt: str = '',
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results: dict = None,
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creative: bool = False,
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detailed: bool = False,
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codeContext: str = '',
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language: str = 'en') -> PhindResponse:
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if user_agent == '':
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raise ValueError('user_agent must be set, refer to documentation')
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if cf_clearance == '':
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raise ValueError('cf_clearance must be set, refer to documentation')
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if results is None:
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results = Search.create(prompt, actualSearch=True)
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if len(codeContext) > 2999:
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raise ValueError('codeContext must be less than 3000 characters')
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models = {
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'gpt-4': 'expert',
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'gpt-3.5-turbo': 'intermediate',
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'gpt-3.5': 'intermediate',
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}
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json_data = {
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'question': prompt,
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'bingResults': results, # response.json()['rawBingResults'],
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'codeContext': codeContext,
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'options': {
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'skill': models[model],
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'date': datetime.now().strftime("%d/%m/%Y"),
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'language': language,
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'detailed': detailed,
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'creative': creative
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}
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}
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headers = {
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'authority': 'www.phind.com',
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'accept': '*/*',
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'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',
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'content-type': 'application/json',
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'cookie': f'cf_clearance={cf_clearance}',
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'origin': 'https://www.phind.com',
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'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
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'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': user_agent
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}
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completion = ''
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response = post('https://www.phind.com/api/infer/answer', headers=headers, json=json_data, timeout=99999,
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impersonate='chrome110')
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for line in response.text.split('\r\n\r\n'):
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completion += (line.replace('data: ', ''))
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return PhindResponse({
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'id': f'cmpl-1337-{int(time())}',
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'object': 'text_completion',
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'created': int(time()),
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'model': models[model],
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'choices': [{
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'text': completion,
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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(completion),
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'total_tokens': len(prompt) + len(completion)
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}
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})
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class StreamingCompletion:
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message_queue = Queue()
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stream_completed = False
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def request(model, prompt, results, creative, detailed, codeContext, language) -> None:
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models = {
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'gpt-4': 'expert',
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'gpt-3.5-turbo': 'intermediate',
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'gpt-3.5': 'intermediate',
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}
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json_data = {
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'question': prompt,
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'bingResults': results,
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'codeContext': codeContext,
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'options': {
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'skill': models[model],
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'date': datetime.now().strftime("%d/%m/%Y"),
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'language': language,
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'detailed': detailed,
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'creative': creative
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}
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}
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headers = {
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'authority': 'www.phind.com',
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'accept': '*/*',
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'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',
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'content-type': 'application/json',
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'cookie': f'cf_clearance={cf_clearance}',
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'origin': 'https://www.phind.com',
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'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
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'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': user_agent
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}
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response = post('https://www.phind.com/api/infer/answer',
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headers=headers, json=json_data, timeout=99999, impersonate='chrome110',
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content_callback=StreamingCompletion.handle_stream_response)
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StreamingCompletion.stream_completed = True
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@staticmethod
230
def create(
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model: str = 'gpt-4',
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prompt: str = '',
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results: dict = None,
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creative: bool = False,
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detailed: bool = False,
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codeContext: str = '',
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language: str = 'en'):
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if user_agent == '':
240
raise ValueError('user_agent must be set, refer to documentation')
241
if cf_clearance == '':
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raise ValueError('cf_clearance must be set, refer to documentation')
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if results is None:
245
results = Search.create(prompt, actualSearch=True)
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if len(codeContext) > 2999:
248
raise ValueError('codeContext must be less than 3000 characters')
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Thread(target=StreamingCompletion.request, args=[
251
model, prompt, results, creative, detailed, codeContext, language]).start()
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while StreamingCompletion.stream_completed != True or not StreamingCompletion.message_queue.empty():
254
try:
255
chunk = StreamingCompletion.message_queue.get(timeout=0)
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if chunk == b'data: \r\ndata: \r\ndata: \r\n\r\n':
258
chunk = b'data: \n\n\r\n\r\n'
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chunk = chunk.decode()
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chunk = chunk.replace('data: \r\n\r\ndata: ', 'data: \n')
263
chunk = chunk.replace('\r\ndata: \r\ndata: \r\n\r\n', '\n\n\r\n\r\n')
264
chunk = chunk.replace('data: ', '').replace('\r\n\r\n', '')
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yield PhindResponse({
267
'id': f'cmpl-1337-{int(time())}',
268
'object': 'text_completion',
269
'created': int(time()),
270
'model': model,
271
'choices': [{
272
'text': chunk,
273
'index': 0,
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'logprobs': None,
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'finish_reason': 'stop'
276
}],
277
'usage': {
278
'prompt_tokens': len(prompt),
279
'completion_tokens': len(chunk),
280
'total_tokens': len(prompt) + len(chunk)
281
}
282
})
283
284
except Empty:
285
pass
286
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@staticmethod
288
def handle_stream_response(response):
289
StreamingCompletion.message_queue.put(response)
二进制文件已变更，无法进行逐行预览。
@@ -1,34 +0,0 @@
1
import phind
2
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# set cf_clearance cookie ( not needed at the moment)
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phind.cf_clearance = 'MDzwnr3ZWk_ap8u.iwwMR5F3WccfOkhUy_zGNDpcF3s-1682497341-0-160'
5
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'
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prompt = 'hello world'
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# normal completion
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result = phind.Completion.create(
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model='gpt-4',
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prompt=prompt,
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results=phind.Search.create(prompt, actualSearch=False),
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# create search (set actualSearch to False to disable internet)
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creative=False,
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detailed=False,
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codeContext='') # up to 3000 chars of code
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print(result.completion.choices[0].text)
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prompt = 'who won the quatar world cup'
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23
# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
24
# stream completion
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for result in phind.StreamingCompletion.create(
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model='gpt-4',
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prompt=prompt,
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results=phind.Search.create(prompt, actualSearch=True),
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# create search (set actualSearch to False to disable internet)
30
creative=False,
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detailed=False,
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codeContext=''): # up to 3000 chars of code
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print(result.completion.choices[0].text, end='', flush=True)
@@ -1,42 +0,0 @@
1
# Import necessary libraries
2
from json import loads
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from os import urandom
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from requests import get
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# Generate a random session ID
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sessionId = urandom(10).hex()
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# Set up headers for the API request
11
headers = {
12
'Accept': 'text/event-stream',
13
'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',
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'Cache-Control': 'no-cache',
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'Connection': 'keep-alive',
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'Pragma': 'no-cache',
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'Referer': 'http://easy-ai.ink/chat',
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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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'token': 'null',
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}
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# Main loop to interact with the AI
23
while True:
24
# Get user input
25
prompt = input('you: ')
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# Set up parameters for the API request
28
params = {
29
'message': prompt,
30
'sessionId': sessionId
31
}
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33
# Send request to the API and process the response
34
for chunk in get('http://easy-ai.ink/easyapi/v1/chat/completions', params=params,
35
headers=headers, verify=False, stream=True).iter_lines():
36
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# Check if the chunk contains the 'content' field
38
if b'content' in chunk:
39
# Parse the JSON data and print the content
40
data = loads(chunk.decode('utf-8').split('data:')[1])
41
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print(data['content'], end='')
@@ -57,8 +57,7 @@ class Completion:
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57
r'(?<=event: youChatSerpResults\ndata:)(.*\n)*?(?=event: )', response.text
58
58
).group()
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59
third_party_search_results = re.search(
60
r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text
61
).group()
60
r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text).group()
62
61
# slots = findall(r"slots\ndata: (.*)\n\nevent", response.text)[0]
63
62
64
63
text = ''.join(re.findall(r'{\"youChatToken\": \"(.*?)\"}', response.text))
@@ -69,7 +68,7 @@ class Completion:
69
68
}
70
69
71
70
return {
72
'response': text.replace('\\n', '\n').replace('\\\\', '\\'),
71
'response': text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'),
73
72
'links': loads(third_party_search_results)['search']['third_party_search_results']
74
73
if include_links
75
74
else None,