# import os, types, streamlit as st
# import os
# os.environ['STREAMLIT_CONFIG_DIR'] = '/tmp/.streamlit'
# # Fetch the hidden code from env var
# app_code = os.environ.get("APP_CODE", "")
# def execute_code(code_str):
# module = types.ModuleType("dynamic_app")
# try:
# exec(code_str, module.__dict__)
# if hasattr(module, "main"):
# module.main()
# except Exception as e:
# st.error(f"Error in hidden code: {e}")
# if app_code:
# execute_code(app_code)
# else:
# st.error("APP_CODE is empty. Did you set it?")
import os, types, streamlit as st
import requests # Make sure to import requests if used
os.environ['STREAMLIT_CONFIG_DIR'] = '/tmp/.streamlit'
app_code = os.environ.get("APP_CODE", "")
def execute_code(code_str):
module = types.ModuleType("dynamic_app")
try:
exec(code_str, module.__dict__)
if hasattr(module, "main"):
module.main()
return module
except Exception as e:
st.error(f"Error in hidden code: {e}")
return None
def main():
global job_posts, api_endpoint, hf_token, simulated_code_animation, generate_email, generate_phone_number, generate_linkedin
if app_code:
module = execute_code(app_code)
if module:
# Extract required variables and functions from the module
job_posts = getattr(module, 'job_posts', [])
api_endpoint = getattr(module, 'api_endpoint', '')
hf_token = getattr(module, 'hf_token', '')
simulated_code_animation = getattr(module, 'simulated_code_animation', lambda x: None)
generate_email = getattr(module, 'generate_email', lambda x: "email@example.com")
generate_phone_number = getattr(module, 'generate_phone_number', lambda: "555-123-4567")
generate_linkedin = getattr(module, 'generate_linkedin', lambda x: "linkedin.com/in/example")
else:
st.error("APP_CODE is empty. Did you set it?")
return
st.set_page_config(layout="wide")
# Sidebar for navigation
with st.sidebar:
# About section with blue background
st.markdown("""
About
This Resume Matching System helps you find the best candidates for your job openings.
Simply input your job description and requirements, and our AI-powered system will
analyze and rank resumes based on skill match, experience, and overall fit.
""", unsafe_allow_html=True)
# How it Works section with light blue background
st.markdown("""
How it Works
Enter your job description or select a sample
Our AI-agent analyzes key skills and requirements
View ranked candidates with match percentages
Examine detailed skill comparisons for each resume
", unsafe_allow_html=True)
# Display sample job descriptions in sidebar with smaller font
st.write("Click any job to prefill the form:")
# Create a container with custom CSS for smaller buttons
st.markdown("""
""", unsafe_allow_html=True)
# Add horizontal line before job listings
st.markdown("", unsafe_allow_html=True)
# Job buttons
for i, job in enumerate(job_posts):
if st.button(job["title"], key=f"job_{i}"):
# This will be used to set the job description text area
st.session_state.job_description = job["jd"]
# Main content area
st.title("Resume Matching System")
# Initialize session state for job description if it doesn't exist
if 'job_description' not in st.session_state:
st.session_state.job_description = "Enter job description here..."
# Input fields - using session state for job description
job_description = st.text_area("Job Description", value=st.session_state.job_description, height=250)
additional_requirements = st.text_area("Additional Requirements", "", height=100)
# Create two columns for the numeric inputs
limit = st.slider("Number of Results", min_value=1, max_value=10, value=5, step=1)
# Search button and animation container
search_button = st.button("Search Resumes", type="primary")
# Create a container for the code animation
code_container = st.container()
# Add custom CSS for the code animation box
st.markdown("""
""", unsafe_allow_html=True)
st.markdown("""
""", unsafe_allow_html=True)
if search_button:
# Prepare the API request
url = f"{api_endpoint}/resumes/search"
headers = {
"accept": "application/json",
"Content-Type": "application/json",
"Authorization": hf_token
}
payload = {
"job_description": job_description,
"additional_requirements": additional_requirements,
"limit": limit,
}
try:
# Display the animation while waiting
with code_container:
# Create the black box with yellow code animation
code_display = simulated_code_animation(code_container)
import time
strt_time=time.time()
# Make the API request
response = requests.post(url, headers=headers, json=payload)
print(f"total time taken by fast api to generate answer: {time.time()-strt_time}")
# Clear the code animation
code_container.empty()
if response.status_code == 200:
# Process successful response
data = response.json()
st.success(f"Found {data['count']} matching resumes")
# Display each resume with the new card-based layout
for i, resume in enumerate(data['results']):
resume_data = resume['resume_data']
explainability = resume['explainibility']
# Generate synthetic contact information
full_name = resume_data.get('full_name', 'No Name')
# Add synthetic data to resume_data if not present
if 'email' not in resume_data and 'email_id' not in resume_data:
resume_data['email'] = generate_email(full_name)
if 'phone' not in resume_data:
resume_data['phone'] = generate_phone_number()
if 'linkedin_profile' not in resume_data and 'linkedin' not in resume_data:
resume_data['linkedin'] = generate_linkedin(full_name)
# Main card with essential information
with st.container():
col1, col2 = st.columns([7, 3])
with col1:
# Name with larger font and accent color
st.markdown(f"""
{full_name}
""", unsafe_allow_html=True)
# Years of experience with an icon
years_exp = resume_data.get('total_experience_years', 'Not specified')
st.markdown(f"""
Years of Experience:{years_exp}
""", unsafe_allow_html=True)
# Summary in a nice box with a border
summary = ""
if 'overall_summary' in resume:
summary = resume.get('overall_summary')
elif isinstance(resume_data.get('summary'), str):
summary = resume_data.get('summary')
st.markdown(explainability)
if summary:
st.markdown(f"""
SUMMARY
{summary}
""", unsafe_allow_html=True)
st.markdown(" ", unsafe_allow_html=True)
with col2:
# Contact card with background
st.markdown("""
""", unsafe_allow_html=True)
# Create expandable sections for details - MOVED INSIDE THE LOOP
with st.expander(f"Resume Content for {full_name}", expanded=False):
tabs = st.tabs(["All Skills", "Experience", "Projects", "Education"])
# All Skills tab
with tabs[0]:
st.subheader("Skills")
if 'skills' in resume_data and resume_data['skills']:
skills_html = ""
for skill in resume_data['skills']:
# Check if this skill is in matched_skills
is_matched = skill in resume.get('matched_skills', [])
badge_class = "skill-badge" if is_matched else "missing-skill-badge"
skills_html += f'{skill} '
st.markdown(skills_html, unsafe_allow_html=True)
else:
st.write("No skills listed.")
# Experiences tab
with tabs[1]:
st.subheader("Professional Experience")
if 'experience' in resume_data and resume_data['experience']:
for exp in resume_data['experience']:
with st.container():
st.markdown(f"""
{exp.get('title', 'Position')} at {exp.get('company', 'Company')} {exp.get('duration', '')}
{exp.get('description', '')}
""", unsafe_allow_html=True)
elif 'professional_experiences' in resume_data and resume_data['professional_experiences']:
for exp in resume_data['professional_experiences']:
with st.container():
st.markdown(f"""
{exp.get('title', 'Position')} at {exp.get('company', 'Company')} {exp.get('duration', '')}
{exp.get('description', '')}
""", unsafe_allow_html=True)
else:
st.write("No experience information available.")
# Projects tab
with tabs[2]:
st.subheader("Projects")
if 'projects' in resume_data and resume_data['projects']:
for project in resume_data['projects']:
if isinstance(project, dict):
project_name = project.get('name', project.get('title', 'Project'))
project_desc = project.get('description', '')
st.markdown(f"**{project_name}**")
st.markdown(f"{project_desc}")
st.markdown("---")
else:
st.markdown(f"- {project}")
else:
st.write("No projects listed.")
# Education tab
with tabs[3]:
st.subheader("Education")
if 'education' in resume_data and resume_data['education']:
for edu in resume_data['education']:
with st.container():
st.markdown(f"""
""", unsafe_allow_html=True)
else:
st.write("No education information available.")
st.markdown("""
""", unsafe_allow_html=True)
# Create a centered container for the download button
col1, col2, col3 = st.columns([1, 2, 1])
with col2:
# Render the download button with icon
st.markdown(f"""
""", unsafe_allow_html=True)
# Add a separator between resumes
st.markdown("---")
except Exception as e:
# Clear the code animation in case of error
code_container.empty()
st.error(f"An error occurred: {str(e)}")
if __name__ == "__main__":
main()