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import requests | |
from dotenv import load_dotenv | |
from typing import Optional | |
import os | |
# Load environment variables from .env file | |
load_dotenv() | |
# Get API keys from environment variables | |
YOU_COM_API_KEY = os.getenv("YOU_API_KEY") | |
TAVILY_API_KEY = os.getenv("TAVILY_API_KEY") | |
PERPLEXITY_API_KEY = os.getenv("PPLX_API_KEY") | |
BRAVE_API_KEY = os.getenv("BRAVE_AI_API_KEY") | |
def query_you_com(query): | |
headers = {"X-API-Key": YOU_COM_API_KEY} | |
params = {"query": query} | |
try: | |
response = requests.get( | |
"https://api.ydc-index.io/rag", # Verify the correctness of the API endpoint | |
params=params, | |
headers=headers, | |
) | |
response.raise_for_status() # Raises an HTTPError if the response code was unsuccessful | |
resp = response.json() | |
return resp["answer"] | |
except requests.exceptions.HTTPError as http_err: | |
return f"HTTP error occurred: {http_err}" | |
except Exception as err: | |
return f"An error occurred: {err}" | |
def query_tavily(query): | |
payload = { | |
"api_key": TAVILY_API_KEY, | |
"query": query, | |
"search_depth": "basic", | |
"include_answer": True, | |
"include_images": False, | |
"include_raw_content": False, | |
"max_results": 1, | |
"include_domains": [], | |
"exclude_domains": [], | |
} | |
response = requests.post("https://api.tavily.com/search", json=payload) | |
if response.status_code == 200: | |
resp = response.json() | |
return resp["answer"] | |
else: | |
return f"Request failed with status code: {response.status_code}" | |
def query_perplexity(query): | |
url = "https://api.perplexity.ai/chat/completions" | |
headers = { | |
"Accept": "application/json", | |
"Content-Type": "application/json", | |
"Authorization": f"Bearer {PERPLEXITY_API_KEY}", | |
} | |
data = { | |
"model": "llama-3-sonar-large-32k-online", | |
"stream": False, | |
"max_tokens": 1024, | |
"frequency_penalty": 1, | |
"temperature": 0.0, | |
"messages": [ | |
{"role": "system", "content": "Be precise and concise in your responses."}, | |
{"role": "user", "content": query}, | |
], | |
} | |
response = requests.post(url, headers=headers, json=data) | |
if response.status_code == 200: | |
result = response.json() | |
return result["choices"][0]["message"]["content"] | |
else: | |
return f"Request failed with status code: {response.status_code}" | |
def ProcessQuestion(question, model): | |
if model == "You.com": | |
return query_you_com(question) | |
elif model == "Tavily.com": | |
return query_tavily(question) | |
elif model == "Perplexity.ai": | |
return query_perplexity(question) | |
elif model == "Brave.com": | |
return query_brave(question) | |
else: | |
return "Model not supported" | |
from brave_ai import BraveAIWrapper | |
def query_brave(query: str) -> Optional[str]: | |
""" | |
Get a summary for the given query using BraveAIWrapper. | |
Args: | |
query (str): The search query. | |
api_key (str): The API key for Brave Search. | |
Returns: | |
Optional[str]: Summarized result or None if an error occurs. | |
""" | |
brave_ai = BraveAIWrapper(api_key=BRAVE_API_KEY) | |
summary = brave_ai.get_and_summarize(query) | |
return summary |