import streamlit as st
import ast
import base64
import streamlit.components.v1 as components
from transformers import pipeline
# --- Load summarizer model ---
@st.cache_resource
def load_model():
summarizer = pipeline("summarization", model="philschmid/bart-large-cnn-samsum")
return summarizer
summarizer = load_model()
st.set_page_config(page_title="AR/VR Code Visualizer", layout="wide")
st.title("👓 AR/VR Enhanced Code Visualizer")
# --- Upload Python file ---
uploaded_file = st.file_uploader("📁 Upload your Python file", type=["py"])
# --- Parse code and show output ---
if uploaded_file is not None:
code = uploaded_file.read().decode('utf-8')
st.subheader("📄 Uploaded Code")
st.code(code, language='python')
# Parse AST
tree = ast.parse(code)
functions = [node.name for node in ast.walk(tree) if isinstance(node, ast.FunctionDef)]
classes = [node.name for node in ast.walk(tree) if isinstance(node, ast.ClassDef)]
st.subheader("🔍 Code Structure")
st.write(f"**Functions:** {functions or 'None'}")
st.write(f"**Classes:** {classes or 'None'}")
# Hugging Face Summarization
st.subheader("🧠 Code Explanation (AI)")
prompt = f"This code contains functions: {functions} and classes: {classes}. Explain what this code does."
try:
summary = summarizer(prompt, max_length=60, min_length=15, do_sample=False)
st.success(summary[0]['summary_text'])
except Exception as e:
st.error(f"Summarization failed: {e}")
# Build dynamic A-Frame HTML
def generate_aframe_html(functions, classes):
elements = []
x_pos = -3
for fn in functions:
elements.append(f"""