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# .gitignore | ||
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# Python files | ||
__pycache__/ | ||
*.pyc | ||
*.pyo | ||
*.pyd | ||
*.pyc | ||
*.pyo | ||
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# Virtual environment | ||
venv/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
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# Pytest | ||
.cache | ||
.pytest_cache | ||
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# MyPy | ||
.mypy_cache | ||
.dmypy.json | ||
dmypy.json | ||
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# PyCharm | ||
.idea/ | ||
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# VSCode | ||
.vscode/ | ||
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# Miscellaneous | ||
*.log | ||
*.bak | ||
*.swp | ||
*.swo | ||
*.swn | ||
*.sqlite3 | ||
*.env | ||
*.env.local | ||
*.env.development | ||
*.env.production | ||
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build/ | ||
dist/ | ||
*.egg-info/ | ||
.pypirc | ||
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# OS generated files | ||
.DS_Store | ||
.DS_Store? | ||
._* | ||
.Spotlight-V100 | ||
.Trashes | ||
ehthumbs.db | ||
Thumbs.db | ||
desktop.ini | ||
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.env |
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from typing import Optional, List, Mapping, Any | ||
import traceback | ||
from time import sleep | ||
from typing import Dict, Callable | ||
from langchain.llms.base import LLM | ||
import requests | ||
from .driver import ChatGptDriver | ||
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class GPT4OpenAI(LLM): | ||
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history_data: Optional[List] = [] | ||
token : Optional[str] | ||
chatbot : Optional[ChatGptDriver] = None | ||
call : int = 0 | ||
conversation : Optional[str] = "" | ||
headless : bool = True | ||
__file__ = __file__ | ||
model: str = "gpt-4" | ||
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#### WARNING : for each api call this library will create a new chat on chat.openai.com | ||
@property | ||
def _llm_type(self) -> str: | ||
return "custom" | ||
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def _create_chatbot(self): | ||
if self.chatbot is None: | ||
if self.token is None: | ||
raise ValueError("Need a token , check https://chat.openai.com/api/auth/session for get your token") | ||
else: | ||
if self.conversation == "": | ||
self.chatbot = ChatGptDriver(self.token, headless=self.headless, model=self.model) | ||
elif self.conversation != "" : | ||
self.chatbot = ChatGptDriver(self.token, headless=self.headless, model=self.model, conversation_id=self.conversation) | ||
else: | ||
raise ValueError("Something went wrong") | ||
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def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str: | ||
if stop is not None: | ||
pass | ||
#raise ValueError("stop kwargs are not permitted.") | ||
#token is a must check | ||
self._create_chatbot() | ||
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response = "" | ||
# OpenAI: 50 requests / hour for each account | ||
if self.call >= 45: | ||
raise ValueError("You have reached the maximum number of requests per hour ! Help me to Improve. Abusing this tool is at your own risk") | ||
else: | ||
sleep(2) | ||
try: | ||
data = self.chatbot.chat(prompt) | ||
except Exception as e: | ||
self.chatbot.driver.save_screenshot("error.png") | ||
sleep(1) | ||
self.chatbot.driver.save_screenshot("error2.png") | ||
print('Error:') | ||
print(e) | ||
print(traceback.print_exc()) | ||
sleep(300) # So user can debug the issue | ||
#print(data) | ||
response = data["message"] | ||
self.conversation = data["conversation_id"] | ||
FullResponse = data | ||
self.call += 1 | ||
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#add to history | ||
self.history_data.append({"prompt":prompt,"response":response}) | ||
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return response | ||
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@property | ||
def _identifying_params(self) -> Mapping[str, Any]: | ||
"""Get the identifying parameters.""" | ||
return {"model": self.model, "token": self.token} | ||
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def generate_image(self, prompt: str, image_path: Optional[str] = None) -> bytes: | ||
""" | ||
Generate an image from a prompt. If image_path is passed, the image will be saved to that path. | ||
Return: | ||
bytes: image bytes | ||
""" | ||
self._create_chatbot() | ||
img_url = self.chatbot.generate_image(prompt) | ||
# Download an image to a local file path | ||
img_data = requests.get(img_url).content | ||
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if image_path is not None: | ||
with open(image_path, 'wb') as file: | ||
file.write(img_data) | ||
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return img_data | ||
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def close(self): | ||
""" | ||
Close the Chrome browser | ||
""" | ||
self.chatbot.driver.quit() |
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