import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

# Küçük bir model seçiyoruz
model_name = "PygmalionAI/pygmalion-1.3b"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def chat(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_new_tokens=200)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

demo = gr.Interface(fn=chat, inputs="text", outputs="text")
demo.launch()