Update app.py

app.py

@@ -1,35 +1,45 @@
-import gradio as gr
 import os
-from huggingface_hub import InferenceClient
+import gradio as gr
+from openai import OpenAI
 
 HF_TOKEN = os.getenv("HF_TOKEN")
 
-client = InferenceClient(
-    provider="hf-inference",
+client = OpenAI(
+    base_url="https://router.huggingface.co/v1",
     api_key=HF_TOKEN,
 )
 
-def query_mistral(prompt):
-    response = client.text_generation(
-        model="mistralai/Mistral-7B-Instruct-v0.2",
-        prompt=prompt,
-        max_new_tokens=300,
+MODEL_ID = "HuggingFaceTB/SmolLM3-3B:hf-inference"
+
+SYSTEM = "Sen MAIND AI'sin. Kısa, net ve yardımcı cevap ver."
+
+def llm_reply(user_text: str) -> str:
+    resp = client.chat.completions.create(
+        model=MODEL_ID,
+        messages=[
+            {"role": "system", "content": SYSTEM},
+            {"role": "user", "content": user_text},
+        ],
         temperature=0.7,
+        max_tokens=350,
     )
-    return response
+    return resp.choices[0].message.content or ""
 
 def chat_fn(message, history):
     if history is None:
         history = []
-
     history.append({"role": "user", "content": message})
-    reply = query_mistral(message)
-    history.append({"role": "assistant", "content": reply})
 
+    try:
+        reply = llm_reply(message)
+    except Exception as e:
+        reply = f"Hata: {e}"
+
+    history.append({"role": "assistant", "content": reply})
     return history
 
-with gr.Blocks() as demo:
-    gr.Markdown("## Maind.ai 🤖 (Mistral)")
+with gr.Blocks(title="MaindAI") as demo:
+    gr.Markdown("## MaindAI 🤖")
     chatbot = gr.Chatbot(value=[])
     msg = gr.Textbox(placeholder="Sor...")
     msg.submit(chat_fn, [msg, chatbot], chatbot)