src/streamlit_app.py

import streamlit as st
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

# Load model and tokenizer
MODEL_NAME = "hamxaameer/pseudo2code"
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)

st.title("Pseudo-code to Code")

prompt = st.text_area("Enter a code:")

# Fixed maximum length
max_length = 150

if st.button("Generate Code"):
    if prompt.strip() != "":
        inputs = tokenizer(prompt, return_tensors="pt")
        outputs = model.generate(
            **inputs,
            max_length=max_length,
            do_sample=True,
            temperature=0.7
        )
        generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
        st.code(generated_code, language="python")
    else:
        st.warning("Please enter a prompt.")