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app.py

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+import os, requests, gradio as gr
+
+# Hugging Face API bağlantısı
+API_URL = "https://api-inference.huggingface.co/models/tiiuae/falcon-7b-instruct"
+HF_TOKEN = os.getenv("HF_TOKEN")
+HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"}
+
+# Ana sohbet fonksiyonu
+def chat(message, history):
+    if not message:
+        return history, history
+
+    history = history or []
+    prompt = "Kullanıcı: " + message + "\nZenkaMind:"
+    
+    try:
+        response = requests.post(API_URL,
+            headers=HEADERS,
+            json={"inputs": prompt, "parameters": {"max_new_tokens": 256, "temperature": 0.7}},
+            timeout=60
+        )
+        if response.status_code != 200:
+            reply = f"⚠️ Model hatası ({response.status_code})"
+        else:
+            result = response.json()
+            reply = result[0]["generated_text"].split("ZenkaMind:")[-1].strip()
+    except Exception as e:
+        reply = f"❌ Sunucu hatası: {e}"
+
+    history.append((message, reply))
+    return history, history
+
+
+# Tema ve arayüz
+theme = gr.themes.Soft(
+    primary_hue="cyan",
+    secondary_hue="indigo"
+).set(
+    body_background_fill="#0f172a",
+    block_background_fill="#1e293b",
+    block_label_text_color="#f8fafc"
+)
+
+with gr.Blocks(theme=theme, title="ZenkaMind v16") as demo:
+    gr.Markdown("<h1 style='text-align:center;color:#06b6d4'>🧠 ZenkaMind AI</h1><p style='text-align:center;color:#94a3b8'>Falcon 7B Türkçe modeliyle akıllı sohbet</p>")
+    chatbot = gr.Chatbot(label="ZenkaMind Sohbet")
+    msg = gr.Textbox(placeholder="Mesajınızı yazın...", show_label=False)
+    clear = gr.Button("🧹 Sohbeti Temizle")
+
+    msg.submit(chat, [msg, chatbot], [chatbot, chatbot])
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+    gr.Markdown("<p style='text-align:center;font-size:12px;color:#64748b'>© 2025 ZenkaMind Bilişim & Teknoloji — Manisa</p>")
+
+demo.launch()

requirements.txt.txt

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+gradio
+requests