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import streamlit as st
import ast
import base64
import streamlit.components.v1 as components
from transformers import pipeline
from gtts import gTTS
import qrcode
from io import BytesIO
st.set_page_config(page_title="AR/VR Code Visualizer", layout="wide")
st.title("π AR/VR Code Visualizer with Interaction, Narration, and AR View")
@st.cache_resource
def load_model():
return pipeline("summarization", model="philschmid/bart-large-cnn-samsum")
summarizer = load_model()
st.subheader("π Write or Paste Your Python Code")
code = st.text_area("Enter your Python code here", height=300)
if code.strip():
st.code(code, language="python")
# AST parsing to get function call relationships
tree = ast.parse(code)
class FunctionCallVisitor(ast.NodeVisitor):
def __init__(self):
self.calls = {}
def visit_FunctionDef(self, node):
caller = node.name
self.calls[caller] = []
for child in ast.walk(node):
if isinstance(child, ast.Call) and isinstance(child.func, ast.Name):
self.calls[caller].append(child.func.id)
self.generic_visit(node)
visitor = FunctionCallVisitor()
visitor.visit(tree)
call_graph = visitor.calls
st.subheader("π Function Calls")
for fn, callees in call_graph.items():
st.write(f"πΉ `{fn}` calls: {', '.join(callees) if callees else 'None'}")
# AI summary
prompt = f"Explain this call graph structure: {call_graph}"
summary = summarizer(prompt, max_length=60, min_length=15, do_sample=False)
summary_text = summary[0]['summary_text']
st.success(summary_text)
# Voice narration
st.subheader("π Voice Narration")
tts = gTTS(text=summary_text)
tts.save("summary.mp3")
st.audio("summary.mp3", format="audio/mp3")
# A-Frame 3D HTML generator
def generate_aframe(call_graph):
function_data = {
"functions": [],
"relationships": []
}
function_positions = {}
spacing = 3
for i, fn in enumerate(call_graph):
x = i * spacing
function_positions[fn] = (x, 1, -3)
function_data["functions"].append({"name": fn, "position": [x, 1, -3]})
for caller, callees in call_graph.items():
for callee in callees:
if callee in function_positions:
x1, y1, z1 = function_positions[caller]
x2, y2, z2 = function_positions[callee]
function_data["relationships"].append({"start": [x1, y1, z1], "end": [x2, y2, z2]})
js = f"""
<script>
const functionData = {str(function_data).replace("'", '"')};
function say(text) {{
const utter = new SpeechSynthesisUtterance(text);
speechSynthesis.speak(utter);
}}
document.addEventListener('DOMContentLoaded', () => {{
functionData.functions.forEach(function(fn) {{
const box = document.createElement('a-box');
box.setAttribute('position', fn.position.join(' '));
box.setAttribute('depth', '0.5');
box.setAttribute('height', '0.5');
box.setAttribute('width', '2');
box.setAttribute('color', '#FFC65D');
box.setAttribute('class', 'clickable');
box.setAttribute('event-set__enter', '_event: mouseenter; color: #00CED1');
box.setAttribute('event-set__leave', '_event: mouseleave; color: #FFC65D');
box.setAttribute('onclick', 'say(\"' + fn.name + '\")');
document.querySelector('a-scene').appendChild(box);
const text = document.createElement('a-text');
text.setAttribute('value', fn.name);
text.setAttribute('position', `${{fn.position[0]}} ${{fn.position[1] + 1}} ${{fn.position[2]}}`);
text.setAttribute('align', 'center');
text.setAttribute('color', '#000');
document.querySelector('a-scene').appendChild(text);
}});
functionData.relationships.forEach(function(rel) {{
const el = document.createElement('a-entity');
el.setAttribute('line', `start: ${{rel.start.join(' ')}}; end: ${{rel.end.join(' ')}}; color: red`);
document.querySelector('a-scene').appendChild(el);
}});
}});
</script>
"""
html = f"""
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script src="https://aframe.io/releases/1.3.0/aframe.min.js"></script>
<script src="https://cdn.jsdelivr.net/gh/donmccurdy/[email protected]/dist/aframe-extras.min.js"></script>
<script src="https://unpkg.com/[email protected]/dist/aframe-screenshot-component.min.js"></script>
{js}
</head>
<body>
<a-scene screenshot>
<a-entity position="0 1.6 3">
<a-camera wasd-controls-enabled="true" look-controls-enabled="true"></a-camera>
</a-entity>
<a-light type="ambient" color="#FFF"></a-light>
<a-plane rotation="-90 0 0" width="40" height="40" color="#7BC8A4"></a-plane>
</a-scene>
</body>
</html>
"""
return html
aframe_html = generate_aframe(call_graph)
b64 = base64.b64encode(aframe_html.encode()).decode()
data_url = f"data:text/html;base64,{b64}"
st.subheader("π Interactive 3D Function Visualizer")
components.iframe(data_url, height=600)
# QR Code
st.subheader("π± AR View on Mobile")
qr = qrcode.QRCode(version=1, box_size=10, border=5)
space_url = "https://huggingface.co/spaces/your-username/your-space-name" # Replace this
qr.add_data(space_url)
qr.make(fit=True)
img = qr.make_image(fill_color="black", back_color="white")
img_byte_arr = BytesIO()
img.save(img_byte_arr, format='PNG')
img_bytes = img_byte_arr.getvalue()
st.image(img_bytes, caption="Scan to view in AR on mobile")
else:
st.info("Write some Python code above to visualize, narrate, and explore it in 3D/AR.")
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