Create main.py

main.py

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+import uuid
+import time
+import logging
+from flask import Flask, request, jsonify
+import requests
+
+# === Конфигурация ===
+AI_MODEL = "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO"
+HF_API_URL = "https://nymbo-serverless-textgen-hub.hf.space/gradio_api/call/bot"
+
+# === Логгер ===
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# === Инициализация Flask ===
+app = Flask(__name__)
+
+# === Корневой маршрут для проверки работоспособности ===
+@app.route("/", methods=["GET"])
+def index():
+    return "Proxy free test", 200
+
+# === Основной OpenAI-совместимый endpoint ===
+@app.route("/use", methods=["POST"])
+def chat_completion():
+    # Логируем входной запрос
+    logger.info(f"📥 Запрос от клиента: {request.remote_addr}")
+    logger.info(f"Headers:\n{dict(request.headers)}")
+    logger.info(f"Body:\n{request.get_data(as_text=True)}")
+
+    try:
+        payload = request.get_json()
+        messages = payload.get("messages", [])
+
+        # Извлекаем последнее сообщение пользователя
+        user_msg = next((m["content"] for m in reversed(messages) if m["role"] == "user"), None)
+        system_msg = next((m["content"] for m in messages if m["role"] == "system"), "You are a helpful AI assistant.")
+
+        if not user_msg:
+            return jsonify({"error": "Missing user message"}), 400
+
+        # Подготавливаем запрос к Hugging Face Space
+        hf_payload = {
+            "data": [
+                [[user_msg, None]],     # history
+                system_msg,             # system_msg
+                512,                    # max_tokens
+                0.7,                    # temperature
+                0.95,                   # top_p
+                0,                      # freq_penalty
+                -1,                     # seed
+                AI_MODEL,               # custom_model
+                "",                     # search_term
+                AI_MODEL                # selected_model
+            ]
+        }
+
+        # Выполняем запрос
+        hf_response = requests.post(HF_API_URL, json=hf_payload, timeout=60)
+        hf_response.raise_for_status()
+        result = hf_response.json()
+
+        output_text = result["data"][0] if "data" in result else "❌ Unexpected response format"
+        print(f"\n🧠 Ответ модели:\n{output_text}\n")  # ⬅️ Вывод в консоль
+
+        return jsonify({
+            "id": f"chatcmpl-{uuid.uuid4().hex[:12]}",
+            "object": "chat.completion",
+            "created": int(time.time()),
+            "model": AI_MODEL,
+            "choices": [
+                {
+                    "index": 0,
+                    "message": {
+                        "role": "assistant",
+                        "content": output_text
+                    },
+                    "finish_reason": "stop"
+                }
+            ],
+            "usage": {
+                "prompt_tokens": 0,
+                "completion_tokens": 0,
+                "total_tokens": 0
+            }
+        })
+
+    except Exception as e:
+        logger.exception("❌ Ошибка обработки запроса:")
+        return jsonify({"error": str(e)}), 500
+
+# === Запуск сервера ===
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860, debug=True)