Update app.py

app.py

@@ -1,21 +1,96 @@
+import os
+import time
+from typing import List, Dict, Any
+
+import gradio as gr
 from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
+from huggingface_hub import InferenceClient
+
+# =============================
+# MODEL
+# =============================
+REPO_ID = "Qwen/Qwen2.5-7B-Instruct"
+HF_TOKEN = os.getenv("HF_TOKEN")
+
+client = InferenceClient(
+    model=REPO_ID,
+    token=HF_TOKEN
+)
 
+# =============================
+# FASTAPI
+# =============================
 app = FastAPI()
 
-class Chat(BaseModel):
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# =============================
+# REQUEST MODEL
+# =============================
+class ChatRequest(BaseModel):
     message: str
+    history: List[Any] | None = []
 
-@app.get("/")
-def root():
-    return {"status": "ZenkaMind test API çalışıyor"}
+# =============================
+# API ENDPOINT
+# =============================
+@app.post("/api/chat")
+async def chat(req: ChatRequest):
+    messages = [
+        {
+            "role": "system",
+            "content": "Sen ZenkaMind isimli bir yapay zekasın. Sadece Türkçe konuş."
+        }
+    ]
 
-@app.get("/health")
-def health():
-    return {"ok": True}
+    for h in req.history or []:
+        if isinstance(h, list) and len(h) == 2:
+            messages.append({"role": "user", "content": h[0]})
+            messages.append({"role": "assistant", "content": h[1]})
 
-@app.post("/api/chat")
-def chat(data: Chat):
-    return {
-        "response": f"Mesaj alındı: {data.message}"
-    }
+    messages.append({"role": "user", "content": req.message})
+
+    try:
+        out = client.chat_completion(
+            messages=messages,
+            max_tokens=300,
+            temperature=0.7,
+        )
+
+        reply = out.choices[0].message.content
+        return {"response": reply}
+
+    except Exception as e:
+        return {"response": f"Model hatası: {str(e)}"}
+
+# =============================
+# GRADIO UI (HF İÇİN ŞART)
+# =============================
+def demo_chat(msg, history):
+    history = history or []
+    r = client.chat_completion(
+        messages=[
+            {"role": "system", "content": "Türkçe konuş."},
+            {"role": "user", "content": msg},
+        ],
+        max_tokens=200,
+    )
+    answer = r.choices[0].message.content
+    history.append((msg, answer))
+    return history, history
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 ZenkaMind – Test Sunucusu")
+    chatbot = gr.Chatbot()
+    inp = gr.Textbox(placeholder="Mesaj yaz...")
+    inp.submit(demo_chat, [inp, chatbot], [chatbot, chatbot])
+
+# ⚠️ HF BURAYI ÇALIŞTIRIR
+app = gr.mount_gradio_app(app, demo, path="/")