Update app.py

app.py

@@ -1,8 +1,12 @@
-# Use a pipeline as a high-level helper
-from transformers import pipeline
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-messages = [
-    {"role": "user", "content": "Who are you?"},
-]
-pipe = pipeline("text-generation", model="Omartificial-Intelligence-Space/Arabic-QWQ-32B-Preview")
-pipe(messages)
+# Load tokenizer and model manually
+tokenizer = AutoTokenizer.from_pretrained("Omartificial-Intelligence-Space/Arabic-QWQ-32B-Preview")
+model = AutoModelForCausalLM.from_pretrained("Omartificial-Intelligence-Space/Arabic-QWQ-32B-Preview")
+
+# Manually perform text generation
+inputs = tokenizer("Generate text example:", return_tensors="pt")
+outputs = model.generate(**inputs, max_length=50)
+
+# Decode the output
+print(tokenizer.decode(outputs[0]))