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Update app.py
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app.py
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import os
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import requests
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import gradio as gr
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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’ta HF_TOKEN olarak ekledin
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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 = [
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{"role": "system", "content": "You are ZenkaMind, a helpful and emotional Turkish AI assistant. Speak fluently and naturally."}
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]
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for human, ai in history:
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convo.append({"role": "user", "content": human})
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convo.append({"role": "assistant", "content": ai})
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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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else:
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reply = "⚠️
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except Exception as e:
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reply = f"❌
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history.append((message, reply))
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return history, history
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theme = gr.themes.Soft(primary_hue="blue", neutral_hue="slate").set(
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body_background_fill="#0f172a",
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block_background_fill="#1e293b",
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block_title_text_color="#38bdf8"
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)
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with gr.Blocks(theme=theme, title="ZenkaMind v11 - Stable") as demo:
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gr.Markdown("<h1 style='text-align:center;color:#38bdf8'>🧠 ZenkaMind v11</h1>"
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"<p style='text-align:center;color:#94a3b8'>Türkçe yapay zekâ sohbet asistanı — Mixtral 8x7B</p>")
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msg.submit(chat, [msg, chatbot], [chatbot, chatbot])
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clear.click(lambda: None, None, chatbot, queue=False)
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import gradio as gr
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import requests
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import os
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HF_TOKEN = os.getenv("HF_TOKEN")
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API_URL = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1"
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HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"}
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def chat(message, history):
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try:
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history = history or []
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payload = {
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"inputs": f"Kullanıcı: {message}\nAsistan:",
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"parameters": {"max_new_tokens": 400, "temperature": 0.7},
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"options": {"wait_for_model": True}
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}
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response = requests.post(API_URL, headers=HEADERS, json=payload, timeout=60)
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if response.status_code != 200:
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return [(message, f"⚠️ Sunucu hatası ({response.status_code})")]
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data = response.json()
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if isinstance(data, list) and len(data) > 0 and "generated_text" in data[0]:
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reply = data[0]["generated_text"].split("Asistan:")[-1].strip()
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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"❌ Hata: {e}"
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history.append((message, reply))
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return history, history
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theme = gr.themes.Soft(primary_hue="blue", neutral_hue="slate").set(
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body_background_fill="#0f172a",
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block_background_fill="#1e293b",
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block_title_text_color="#38bdf8"
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)
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with gr.Blocks(theme=theme, title="ZenkaMind v11") as demo:
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gr.Markdown("<h1 style='text-align:center;color:#38bdf8'>🧠 ZenkaMind v11</h1>"
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"<p style='text-align:center;color:#94a3b8'>Türkçe yapay zekâ sohbet asistanı — Mixtral 8x7B</p>")
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chatbot = gr.Chatbot(height=460, label="ZenkaMind Sohbeti")
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msg = gr.Textbox(placeholder="Bir şey yazın ve Enter’a basın...", show_label=False)
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clear = gr.Button("🧹 Temizle")
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msg.submit(chat, [msg, chatbot], [chatbot, chatbot])
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clear.click(lambda: None, None, chatbot, queue=False)
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