Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import torch
+from duckduckgo_search import DDGS
+
+# Modeli yükle (Hugging Face sunucularında çalışacak)
+model_id = "unsloth/gemma-2-9b-it-bnb-4bit"
+pipe = pipeline("text-generation", model=model_id, device_map="auto", model_kwargs={"torch_dtype": torch.bfloat16})
+
+def internetten_ara(soru):
+    with DDGS() as ddgs:
+        results = [r for r in ddgs.text(soru, max_results=3)]
+        return "\n".join([r['body'] for r in results])
+
+def turkbot_cevap(mesaj, history):
+    bilgi = internetten_ara(mesaj)
+    prompt = f"<start_of_turn>user\nBilgi: {bilgi}\nSoru: {mesaj}<end_of_turn>\n<start_of_turn>model\n"
+    
+    cevap = pipe(prompt, max_new_tokens=300)[0]['generated_text']
+    return cevap.split("<start_of_turn>model\n")[-1]
+
+# Harika bir kullanıcı arayüzü
+demo = gr.ChatInterface(fn=turkbot_cevap, title="TURKBOT v1.0", description="İnternete bağlı, canlı Turkbot!")
+
+if __name__ == "__main__":
+    demo.launch()