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Update main.py
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main.py
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@@ -1,17 +1,27 @@
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from fastapi import FastAPI, HTTPException, Request
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from fastapi.responses import StreamingResponse, HTMLResponse
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from pydantic import BaseModel
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import requests
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import time
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from functools import lru_cache
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app = FastAPI()
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# Create a session for reusing the HTTP connection
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session = requests.Session()
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#
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class Payload(BaseModel):
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model: str
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@@ -27,9 +37,9 @@ async def root():
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Loki.AI API</title>
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<style>
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body { font-family: Arial, sans-serif; text-align: center; margin-top: 50px; }
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h1 { color: #4CAF50; }
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a { color: #
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a:hover { text-decoration: underline; }
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</style>
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</head>
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@@ -47,7 +57,7 @@ async def root():
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@lru_cache(maxsize=1)
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def get_cached_models():
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try:
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response = session.get("
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response.raise_for_status()
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return response.json()
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except requests.exceptions.RequestException as e:
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@@ -65,16 +75,13 @@ async def get_completion(payload: Payload, request: Request):
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if api_key not in valid_api_keys:
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raise HTTPException(status_code=403, detail="Forbidden: Invalid API key. Join dsc.gg/chadgang and DM @mr_leaderyt on Discord for a free API key :)")
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# Set the URL for all requests
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url = "https://gpt.tiptopuni.com/api/openai/v1/chat/completions"
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# Prepare the payload for streaming
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payload_dict = {**payload.dict(), "stream": True}
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# Define a generator to stream the response
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def stream_generator():
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try:
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with session.post(
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response.raise_for_status()
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for chunk in response.iter_content(chunk_size=1024):
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if chunk: # Only yield non-empty chunks
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import os
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from dotenv import load_dotenv
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from fastapi import FastAPI, HTTPException, Request
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from fastapi.responses import StreamingResponse, HTMLResponse
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from pydantic import BaseModel
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import requests
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from functools import lru_cache
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# Load environment variables from .env file
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load_dotenv()
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app = FastAPI()
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# Create a session for reusing the HTTP connection
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session = requests.Session()
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# Get API keys and secret endpoint from environment variables
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api_keys_str = os.getenv('API_KEYS')
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valid_api_keys = api_keys_str.split(',') if api_keys_str else []
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secret_api_endpoint = os.getenv('SECRET_API_ENDPOINT')
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# Check if the endpoint is set in the environment
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if not secret_api_endpoint:
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raise HTTPException(status_code=500, detail="Secret API endpoint is not configured in environment variables.")
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class Payload(BaseModel):
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model: str
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Loki.AI API</title>
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<style>
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body { font-family: Arial, sans-serif; text-align: center; margin-top: 50px; background-color: #121212; color: white; }
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h1 { color: #4CAF50; }
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a { color: #BB86FC; text-decoration: none; }
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a:hover { text-decoration: underline; }
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</style>
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</head>
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@lru_cache(maxsize=1)
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def get_cached_models():
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try:
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response = session.get(f"{secret_api_endpoint}/api/v1/models", timeout=3)
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response.raise_for_status()
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return response.json()
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except requests.exceptions.RequestException as e:
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if api_key not in valid_api_keys:
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raise HTTPException(status_code=403, detail="Forbidden: Invalid API key. Join dsc.gg/chadgang and DM @mr_leaderyt on Discord for a free API key :)")
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# Prepare the payload for streaming
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payload_dict = {**payload.dict(), "stream": True}
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# Define a generator to stream the response
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def stream_generator():
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try:
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with session.post(secret_api_endpoint, json=payload_dict, stream=True, timeout=15) as response:
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response.raise_for_status()
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for chunk in response.iter_content(chunk_size=1024):
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if chunk: # Only yield non-empty chunks
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