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import os |
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import threading |
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import uvicorn |
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from fastapi import FastAPI |
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from fastapi.responses import HTMLResponse |
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from pydantic import BaseModel |
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline |
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from datasets import load_dataset |
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from peft import PeftModel |
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import torch |
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from huggingface_hub import hf_hub_download |
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import zipfile |
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from datetime import datetime |
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def log(message): |
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timestamp = datetime.now().strftime("%H:%M:%S") |
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print(f"[{timestamp}] {message}") |
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os.sys.stdout.flush() |
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HF_TOKEN = os.environ.get("HF_TOKEN") |
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MODEL_BASE = "UcsTurkey/kanarya-750m-fixed" |
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FINE_TUNE_ZIP = "trained_model_000_100.zip" |
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FINE_TUNE_REPO = "UcsTurkey/trained-zips" |
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RAG_DATA_FILE = "merged_dataset_000_100.parquet" |
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RAG_DATA_REPO = "UcsTurkey/turkish-general-culture-tokenized" |
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app = FastAPI() |
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chat_history = [] |
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pipe = None |
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class Message(BaseModel): |
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user_input: str |
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@app.get("/", response_class=HTMLResponse) |
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def root(): |
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return """ |
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<html> |
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<head><title>Fine-Tune Chat</title></head> |
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<body> |
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<h2>📘 Fine-tune Chat Test</h2> |
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<textarea id="input" rows="4" cols="60" placeholder="Bir şeyler yaz..."></textarea><br><br> |
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<button onclick="send()">Gönder</button> |
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<pre id="output"></pre> |
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<script> |
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async function send() { |
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const input = document.getElementById("input").value; |
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const res = await fetch("/chat", { |
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method: "POST", |
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headers: { "Content-Type": "application/json" }, |
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body: JSON.stringify({ user_input: input }) |
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}); |
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const data = await res.json(); |
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document.getElementById("output").innerText = data.answer || data.error || "Hata oluştu."; |
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} |
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</script> |
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</body> |
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</html> |
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""" |
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@app.post("/chat") |
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def chat(msg: Message): |
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try: |
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global pipe |
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if pipe is None: |
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log("🚫 Hata: Model henüz yüklenmedi.") |
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return {"error": "Model yüklenmedi. Lütfen birkaç saniye sonra tekrar deneyin."} |
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user_input = msg.user_input.strip() |
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if not user_input: |
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return {"error": "Boş giriş"} |
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full_prompt = "" |
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for turn in chat_history: |
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full_prompt += f"Kullanıcı: {turn['user']}\nAsistan: {turn['bot]()_ |
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