import gradio as gr
from transformers import AutoModelForCausalLM,AutoModel
from transformers import AutoTokenizer
import torch

model = AutoModel.from_pretrained("aframson/RDPDLM",trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("aframson/RDPDLM",trust_remote_code=True)


def Generate(context):
    context_tokens = torch.tensor(tokenizer._encode(context), dtype=torch.long).unsqueeze(0)  # Encode the text
    # Generate text based on the context
    generated_text = model.generate(context_tokens, max_new_tokens=10)[0].tolist()
    return tokenizer._decode(generated_text)

iface = gr.Interface(fn=Generate, inputs="text", outputs="text")
iface.launch()