Update app.py
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app.py
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import os
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#
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HF_TOKEN = os.getenv("HF_TOKEN")
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HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"}
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#
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def
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payload = {
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"inputs":
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"parameters": {"max_new_tokens": 300, "temperature": 0.7},
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"options": {"wait_for_model": True}
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}
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try:
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r = requests.post(
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data = r.json()
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if isinstance(data, list) and "generated_text" in data[0]:
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# 💬 Sohbet sistemi
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def chat(message, history):
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history = history or []
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reply = ask_model(PRIMARY_URL, message)
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if not reply:
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reply = ask_model(FALLBACK_URL, message)
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if not reply:
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reply = "⚠️ Şu anda modellerden yanıt alınamadı. Lütfen birkaç saniye sonra tekrar deneyin."
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history.append((message, reply))
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return history, history
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# 💰 Görev paneli simülasyonu
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def free_tasks():
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return """🎯 **Free Görevler (14 Görev)**
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- 4 Reklam İzle → 5₺
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- Günlük Giriş → 2₺
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- 1 Anket Doldur → 3₺
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- 1 Arkadaş Davet Et → 10₺
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- Görevleri tamamla, 500₺ olduğunda çekim yap!"""
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def premium_tasks():
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return """💎 **Premium Görevler (30 Görev)**
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- 5 Reklam İzle → 10₺
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- 2 Anket Doldur → 6₺
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- Günlük Bonus Görevi → 15₺
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- Görevleri tamamla, 500₺ olduğunda çekim yap!
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- Premium kullanıcılar 2x kazanç alır!"""
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# 🎨 Tema
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theme = gr.themes.Soft(
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body_background_fill="#0f172a",
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block_background_fill="#1e293b",
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)
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with gr.Blocks(theme=theme, title="ZenkaMind Platform v1.0") as demo:
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gr.Markdown(
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"
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)
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with gr.Column(scale=2):
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gr.Markdown("### 🤖 ZenkaMind Sohbet Asistanı")
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chat_ui = gr.Chatbot(height=460, label="ZenkaMind Chat")
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msg = gr.Textbox(placeholder="Mesajınızı yazın ve Enter’a basın…", show_label=False)
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clear = gr.Button("🧹 Temizle")
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msg.submit(chat, [msg, chat_ui], [chat_ui, chat_ui])
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clear.click(lambda: None, None, chat_ui, queue=False)
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demo.launch()
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import os
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import requests
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import gradio as gr
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# 🔐 Hugging Face API bağlantısı
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API_URL = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1"
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HF_TOKEN = os.getenv("HF_TOKEN") # Hugging Face Secret olarak ekledin ya, burada çağrılıyor
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HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"}
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# 💬 Chat fonksiyonu
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def chat(message, history):
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history = history or []
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convo = [{"role": "system", "content": "You are ZenkaMind, a helpful Turkish AI assistant."}]
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for user, bot in history:
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convo.append({"role": "user", "content": user})
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convo.append({"role": "assistant", "content": bot})
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convo.append({"role": "user", "content": message})
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payload = {
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"inputs": convo,
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"parameters": {"max_new_tokens": 300, "temperature": 0.7},
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"options": {"wait_for_model": True},
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}
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try:
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r = requests.post(API_URL, headers=HEADERS, json=payload, timeout=60)
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data = r.json()
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if isinstance(data, list) and "generated_text" in data[0]:
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reply = data[0]["generated_text"]
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elif isinstance(data, dict) and "error" in data:
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reply = f"⚠️ Hata: {data['error']}"
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else:
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reply = "⚠️ Model boş yanıt döndürdü veya bağlantı kesildi."
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except Exception as e:
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reply = f"❌ Sunucu hatası: {str(e)}"
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history.append((message, reply))
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return history, history
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# 🎨 Tema ve Arayüz
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theme = gr.themes.Soft(
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primary_hue="blue",
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neutral_hue="slate",
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).set(
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body_background_fill="#0f172a",
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block_background_fill="#1e293b",
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block_label_text_color="#38bdf8",
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)
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with gr.Blocks(theme=theme, title="ZenkaMind v12") as demo:
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gr.Markdown(
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"""
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<h1 style="text-align:center;color:#38bdf8;">🧠 ZenkaMind v12</h1>
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<p style="text-align:center;color:#94a3b8;">
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Türkçe yapay zekâ sohbet asistanı — <strong>Mixtral 8x7B</strong> modeliyle çalışır.<br>
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© 2025 ZenkaMind Bilişim & Teknoloji
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</p>
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"""
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)
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chatbot = gr.Chatbot(height=500, label="ZenkaMind Sohbet Ekranı")
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user_msg = gr.Textbox(
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placeholder="Mesajınızı yazın ve Enter’a basın...",
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show_label=False,
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autofocus=True,
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)
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send_btn = gr.Button("🚀 Gönder")
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clear_btn = gr.Button("🧹 Sohbeti Temizle")
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# Bağlantılar
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user_msg.submit(chat, [user_msg, chatbot], [chatbot, chatbot])
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send_btn.click(chat, [user_msg, chatbot], [chatbot, chatbot])
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clear_btn.click(lambda: None, None, chatbot, queue=False)
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demo.launch()
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