Update app.py
Browse files
app.py
CHANGED
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@@ -1,36 +1,29 @@
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from fastapi import FastAPI, Request
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from fastapi.responses import JSONResponse, StreamingResponse
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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from threading import Thread
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from collections import defaultdict
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app = FastAPI(title="Mariza
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print("Carregando
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load_in_4bit=True,
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bnb_4bit_quant_type="nf4",
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bnb_4bit_compute_dtype="float16",
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bnb_4bit_use_double_quant=True,
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)
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-1.5B-Instruct", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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"Qwen/
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device_map="cpu",
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quantization_config=quantization_config,
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trust_remote_code=True,
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low_cpu_mem_usage=True
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)
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history_db = defaultdict(list)
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MAX_CONTEXT_TOKENS =
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@app.get("/")
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async def root():
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return {"message": "
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@app.post("/chat")
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async def chat(request: Request):
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@@ -42,8 +35,9 @@ async def chat(request: Request):
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stream = data.get("stream", False)
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if not prompt:
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return JSONResponse({"error": "prompt vazio, safado"})
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messages = history_db[user_id]
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full_prompt = ""
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for role, content in messages:
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@@ -88,4 +82,4 @@ async def chat(request: Request):
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return JSONResponse({"response": resposta})
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print("
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from fastapi import FastAPI, Request
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from fastapi.responses import JSONResponse, StreamingResponse
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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from threading import Thread
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from collections import defaultdict
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app = FastAPI(title="Mariza + Qwen3-0.6B CPU Free")
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print("Carregando Qwen3-0.6B em fp16 puro na CPU... (2-4 min na primeira vez)")
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-0.6B", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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"Qwen/Qwen3-0.6B",
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torch_dtype="auto", # deixa o transformers escolher fp16/float16
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device_map="cpu",
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trust_remote_code=True,
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low_cpu_mem_usage=True
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)
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history_db = defaultdict(list)
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MAX_CONTEXT_TOKENS = 3800
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@app.get("/")
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async def root():
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return {"message": "Qwen3-0.6B tá vivo e quente na CPU free, chefe! Sem quantização, sem dor de cabeça 😈"}
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@app.post("/chat")
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async def chat(request: Request):
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stream = data.get("stream", False)
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if not prompt:
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return JSONResponse({"error": "prompt vazio, seu safado"})
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# Monta histórico
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messages = history_db[user_id]
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full_prompt = ""
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for role, content in messages:
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return JSONResponse({"response": resposta})
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print("Qwen3-0.6B carregado! Pode mandar o zap que Mariza tá pronta pra responder 24/7 😏")
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