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import requests
import json
class BingChatAPI:
def __init__(self, base_url="https://devsdocode-bing.hf.space"):
self.base_url = base_url
def generate(self, conversation_history, realtime=False, md_format=True, convo_tone="Balanced"):
"""
Generate a response using the Bing Chat API.
Args:
conversation_history (list or str): A list of message objects or a string query.
realtime (bool): Whether to stream the response in real-time.
convo_tone (str): The desired conversational style or tone.
- Balanced
- Creative
- Precise
md_format (bool): Whether to format the response in Markdown.
Returns:
dict: The API response.
"""
endpoint = f"{self.base_url}/generate"
if isinstance(conversation_history, str):
conversation_history = [{"role": "user", "content": conversation_history}]
params = {
"conversation_history": json.dumps(conversation_history),
"realtime": str(realtime).lower(),
"md_format": str(md_format).lower(),
"convo_tone": convo_tone
}
response = requests.get(endpoint, params=params)
response.raise_for_status() # Raise an exception for bad status codes
return response.json()
def get_available_models(self):
"""Get the list of available models."""
endpoint = f"{self.base_url}/available_models"
response = requests.get(endpoint)
response.raise_for_status()
return response.json()
def get_endpoints(self):
"""Get the list of available endpoints."""
endpoint = f"{self.base_url}/endpoints"
response = requests.get(endpoint)
response.raise_for_status()
return response.json()
def get_developer_info(self):
"""Get the developer information."""
endpoint = f"{self.base_url}/developer_info"
response = requests.get(endpoint)
response.raise_for_status()
return response.json()
# Example usage
if __name__ == "__main__":
api = BingChatAPI()
# Generate a response
conversation = [
{"role": "user", "content": "My name is Devs Do Code"},
{"role": "assistant", "content": "**Devs Do Code** is a platform dedicated to providing resources and tutorials on AI and Python programming. His Owner is Sreejan. They have a YouTube channel where they share unique Python projects, tutorials, and showcases of their AI developments[^1^]. One of their notable projects is **AI4Free**, a Python library that offers free access to various large language models without requiring API keys or fees[^2^].\n\nYou can explore their content on their [YouTube channel](https://www.youtube.com/@DevsDoCode) and check out their projects on [GitHub](https://github.com/Devs-Do-Code)[^1^][^2^]. If you're interested in AI and Python, their resources could be quite valuable!"},
{"role": "user", "content": "What is the Owner?"}
]
response = api.generate(conversation)
print("Generated Response:", response)
# Get available models
models = api.get_available_models()
print("Available Models:", models)
# Get endpoints
endpoints = api.get_endpoints()
print("Endpoints:", endpoints)
# Get developer info
dev_info = api.get_developer_info()
print("Developer Info:", dev_info) |