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import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
checkpoint = "dleemiller/Penny-1.7B"
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = AutoModelForCausalLM.from_pretrained(checkpoint)
def generate_response(prompt):
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
gr.Interface(fn=generate_response, inputs="text", outputs="text").launch()
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