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import streamlit as st
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
# Load model and tokenizer
MODEL_NAME = "Johannes/code-generation-model-fine-tuned"
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.")
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