Update app.py

app.py

@@ -1,20 +1,23 @@
 import gradio as gr
 from transformers import pipeline
 
-# Zephyr-7B-Beta için doğru pipeline
-pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", device_map="auto")
+# Basitleştirilmiş pipeline (CPU dostu)
+pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta")
 
 def chat(message, history):
     # Chat formatı
-    prompt = f"<|system|>\nYou are a helpful assistant for generating song lyrics.\n<|user|>\n{message}\n<|assistant|>\n"
+    prompt = f"<|system|>\nYou are a helpful assistant for generating song lyrics in Turkish or English.\n<|user|>\n{message}\n<|assistant|>\n"
     
-    response = pipe(prompt, max_new_tokens=200, do_sample=True, temperature=0.7)[0]['generated_text']
-    
-    # Sadece assistant kısmını döndür
-    if "<|assistant|>" in response:
-        response = response.split("<|assistant|>")[1].strip()
-    
-    return response
+    try:
+        response = pipe(prompt, max_new_tokens=150, do_sample=True, temperature=0.7, pad_token_id=pipe.tokenizer.eos_token_id)[0]['generated_text']
+        
+        # Sadece assistant kısmını döndür
+        if "<|assistant|>" in response:
+            response = response.split("<|assistant|>")[1].strip()
+        
+        return response
+    except Exception as e:
+        return f"Hata: {str(e)}"
 
 # Gradio arayüzü
 with gr.Blocks() as demo: