Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Carrega o modelo e o tokenizer
+model_name = "ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Cria a interface Gradio
+interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+interface.launch()