Update app.py
Browse files
app.py
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@@ -1,10 +1,13 @@
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from fastapi import FastAPI
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from pydantic import BaseModel
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from typing import List
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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app = FastAPI()
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# Load model
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quant_config = BitsAndBytesConfig(
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@@ -20,6 +23,14 @@ model = AutoModelForCausalLM.from_pretrained(
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quantization_config=quant_config,
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device_map="auto" # Use 'auto' to let it balance between GPU/CPU
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)
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class Message(BaseModel):
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role: str
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content: str
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@@ -30,7 +41,7 @@ class ChatRequest(BaseModel):
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temperature: float = 0.7
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@app.post("/v1/chat/completions")
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async def chat_endpoint(request: ChatRequest):
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# Get the last user message
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prompt = request.messages[-1].content
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from fastapi import FastAPI, Depends, HTTPException, status
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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from pydantic import BaseModel
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from typing import List, Optional
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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HF_TOKEN = os.getenv('HF_TOKEN')
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API_KEY = os.getenv('API_KEY')
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app = FastAPI()
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security = HTTPBearer()
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# Load model
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quant_config = BitsAndBytesConfig(
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quantization_config=quant_config,
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device_map="auto" # Use 'auto' to let it balance between GPU/CPU
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)
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def validate_api_key(auth: HTTPAuthorizationCredentials = Depends(security)):
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if auth.credentials != API_KEY:
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raise HTTPException(
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status_code=status.HTTP_401_UNAUTHORIZED,
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detail="Invalid or missing API Key",
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headers={"WWW-Authenticate": "Bearer"},
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)
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return auth.credentials
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class Message(BaseModel):
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role: str
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content: str
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temperature: float = 0.7
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@app.post("/v1/chat/completions")
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async def chat_endpoint(request: ChatRequest, token: str = Depends(validate_api_key)):
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# Get the last user message
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prompt = request.messages[-1].content
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