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import streamlit as st
import os
import tempfile
import shutil
from code_analyzer import CodeAnalyzer
import plotly.express as px
import pandas as pd
st.set_page_config(
page_title="Code Analyzer",
page_icon="🔍",
layout="wide"
)
st.title("🔍 Code Project Analyzer")
st.write("Upload your code files and analyze them with AI-powered insights")
def create_metrics_chart(metrics):
"""Create a bar chart for code metrics"""
df = pd.DataFrame({
'Metric': list(metrics.keys()),
'Value': list(metrics.values())
})
fig = px.bar(df, x='Metric', y='Value', title='Code Metrics')
return fig
def display_tech_stack(tech_stack):
"""Display technology stack in an organized way"""
st.subheader("🛠️ Technology Stack")
cols = st.columns(3)
with cols[0]:
st.write("**Languages**")
if tech_stack["languages"]:
for lang in tech_stack["languages"]:
st.write(f"- {lang}")
else:
st.write("No languages detected")
with cols[1]:
st.write("**Frameworks**")
if tech_stack["frameworks"]:
for framework in tech_stack["frameworks"]:
st.write(f"- {framework}")
else:
st.write("No frameworks detected")
with cols[2]:
st.write("**Dependencies**")
if tech_stack["dependencies"]:
for dep in tech_stack["dependencies"]:
st.write(f"- {dep}")
else:
st.write("No dependencies detected")
def save_uploaded_files(uploaded_files):
"""Save uploaded files to a temporary directory"""
temp_dir = tempfile.mkdtemp()
for uploaded_file in uploaded_files:
file_path = os.path.join(temp_dir, uploaded_file.name)
os.makedirs(os.path.dirname(file_path), exist_ok=True)
with open(file_path, "wb") as f:
f.write(uploaded_file.getbuffer())
return temp_dir
# File upload section
uploaded_files = st.file_uploader(
"Upload your code files",
accept_multiple_files=True,
type=['py', 'java', 'js', 'jsx', 'ts', 'tsx']
)
# Questions input
st.subheader("📝 Analysis Questions")
default_questions = """What is the project's abstract?
What is the system architecture?
What are the software requirements?
What are the hardware requirements?"""
questions = st.text_area(
"Enter your questions (one per line)",
value=default_questions,
height=150
)
analyze_button = st.button("🔍 Analyze Code")
if analyze_button and uploaded_files:
with st.spinner("Analyzing your code..."):
# Save uploaded files
temp_dir = save_uploaded_files(uploaded_files)
# Save questions to a temporary file
questions_file = os.path.join(temp_dir, "questions.txt")
with open(questions_file, "w") as f:
f.write(questions)
try:
# Run analysis
analyzer = CodeAnalyzer()
results = analyzer.analyze_project(temp_dir, questions_file)
# Display results in tabs
tab1, tab2, tab3 = st.tabs(["📊 Overview", "💻 Code Metrics", "❓ Q&A"])
with tab1:
st.subheader("🎯 Project Objective")
st.write(results["objective"])
display_tech_stack(results["tech_stack"])
with tab2:
st.subheader("📊 Code Metrics")
metrics_chart = create_metrics_chart(results["metrics"])
st.plotly_chart(metrics_chart, use_container_width=True)
# Complexity assessment
complexity = "Low" if results["metrics"]["complexity_score"] < 10 else \
"Medium" if results["metrics"]["complexity_score"] < 30 else "High"
st.info(f"Project Complexity: {complexity}")
with tab3:
st.subheader("❓ Analysis Results")
for question, answer in results["answers"].items():
with st.expander(question):
st.write(answer)
except Exception as e:
st.error(f"An error occurred during analysis: {str(e)}")
finally:
# Cleanup
shutil.rmtree(temp_dir)
else:
if analyze_button:
st.warning("Please upload some code files first!")
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