app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = 'deepseek-ai/deepseek-coder-33b-instruct'

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)


input_ids = tokenizer.encode(input_text, return_tensors="pt")

kwargs = {
    "max_length": 500,
    "num_return_sequences": 1,
    "temperature": 0.7,
    "top_k": 50
}

# Generate text
output_ids = model.generate(input_ids, **kwargs)

# Decode and print the output
output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)
print(output_text)