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| from flask import Flask, request, jsonify | |
| import requests | |
| import os | |
| import re | |
| app = Flask(__name__) | |
| # Hugging Face Ayarları | |
| HF_TOKEN = os.getenv("HF_TOKEN") | |
| API_URL = "https://router.huggingface.co/v1/chat/completions" | |
| # ÇALIŞAN ELİT 50 MODEL | |
| MODELLER = [ | |
| "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", "deepcogito/cogito-671b-v2.1-FP8", | |
| "deepseek-ai/DeepSeek-V3.2-Exp", "Qwen/Qwen3.5-397B-A17B", "Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8", | |
| "meta-llama/Llama-3.3-70B-Instruct", "deepseek-ai/DeepSeek-R1", "google/gemma-3-27b-it", | |
| "openai/gpt-oss-120b", "Qwen/QwQ-32B", "meta-llama/Llama-4-Scout-17B-16E-Instruct", | |
| "baidu/ERNIE-4.5-300B-A47B-Base-PT", "moonshotai/Kimi-K2.5", "deepseek-ai/DeepSeek-V3", | |
| "mistralai/Mistral-Small-2409", "Qwen/Qwen2.5-72B-Instruct", "meta-llama/Llama-3.1-70B-Instruct", | |
| "CohereLabs/c4ai-command-a-03-2025", "meta-llama/Llama-3.2-3B-Instruct", "google/gemma-3n-E4B-it", | |
| "Qwen/Qwen3-235B-A22B-Thinking-2507", "CohereLabs/aya-expanse-32b", "meta-llama/Meta-Llama-3-70B-Instruct", | |
| "allenai/Olmo-3.1-32B-Instruct", "Qwen/Qwen2.5-Coder-32B-Instruct", "mistralai/Mistral-7B-Instruct-v0.2", | |
| "meta-llama/Llama-3.1-8B-Instruct", "nvidia/NVIDIA-Nemotron-Nano-9B-v2", "Qwen/Qwen3-8B", | |
| "allenai/Olmo-3.1-32B-Think", "CohereLabs/c4ai-command-r-08-2024", "meta-llama/Llama-3.2-1B-Instruct", | |
| "Qwen/Qwen3-32B", "google/gemma-2-9b-it", "mistralai/Mistral-Nemo-Instruct-2407", | |
| "microsoft/Phi-3.5-mini-instruct", "meta-llama/Llama-Guard-3-8B", "Qwen/Qwen2.5-7B-Instruct", | |
| "allenai/Olmo-3-7B-Instruct", "CohereLabs/c4ai-command-r7b-12-2024", "Qwen/Qwen3-14B", | |
| "google/gemma-2-2b-it", "meta-llama/Llama-3-8B-Instruct", "Qwen/Qwen2.5-Coder-7B-Instruct", | |
| "mistralai/Pixtral-12B-2409", "Qwen/Qwen3-Next-80B-A3B-Instruct", "google/gemma-3-4b-it", | |
| "meta-llama/Llama-3.1-405B-Instruct-FP8", "deepseek-ai/DeepSeek-V2.5", "Qwen/Qwen2.5-1.5B-Instruct" | |
| ] | |
| model_sayaci = 0 | |
| def handle_request(): | |
| global model_sayaci | |
| secilen_model = MODELLER[model_sayaci % len(MODELLER)] | |
| model_sayaci += 1 | |
| try: | |
| data = request.get_json() | |
| istatistikler = data.get("istatistikler", "") | |
| headers = {"Authorization": f"Bearer {HF_TOKEN}"} | |
| payload = { | |
| "model": secilen_model, | |
| "messages": [ | |
| {"role": "system", "content": "SADECE 'İsim: Puan' formatında cevap ver. 4.0-10.0 arası."}, | |
| {"role": "user", "content": istatistikler} | |
| ], | |
| "max_tokens": 80, | |
| "temperature": 0.0 | |
| } | |
| response = requests.post(API_URL, headers=headers, json=payload, timeout=25) | |
| if response.status_code == 200: | |
| cevap = response.json()['choices'][0]['message']['content'] | |
| if "</think>" in cevap: cevap = cevap.split("</think>")[-1] | |
| cevap = re.sub(r'(?i)(okay|let|here|rating|score|analysis|sure|certainly).*', '', cevap).strip() | |
| return jsonify({ | |
| "model": secilen_model, | |
| "puanlar": cevap.replace(".", ","), | |
| "sayac": model_sayaci | |
| }) | |
| return jsonify({"error": f"Model Hatası: {response.status_code}"}), response.status_code | |
| except Exception as e: | |
| return jsonify({"error": str(e)}), 500 | |
| if __name__ == "__main__": | |
| # HF için PORT 7860 şarttır! | |
| app.run(host="0.0.0.0", port=7860) |