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app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Modeli yükle
+pipe = pipeline("text-generation", model="Zenkad/zenkaMind-1.1B", device_map="auto")
+
+def sohbet(message, history):
+    prompt = f"<|system|>\nSen ZenkaMind'sin. Türk genci gibi konuş.</s>\n<|user|>\n{message}</s>\n<|assistant|>\n"
+    result = pipe(prompt, max_new_tokens=60, temperature=0.9)[0]["generated_text"]
+    cevap = result.split("<|assistant|>\n")[-1].strip()
+    history.append([message, cevap])
+    return history, ""
+
+# Arayüz
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# zenkaMind 1.1B\n**senin gibi konuşur, 1 saniyede cevap verir!**")
+    chatbot = gr.Chatbot(height=500)
+    msg = gr.Textbox(placeholder="selam canımm...", label="Sen:")
+    msg.submit(sohbet, [msg, chatbot], [chatbot, msg])
+
+demo.launch()

requirements.txt.txt

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+gradio
+transformers
+torch
+accelerate