# # 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()
import streamlit as st
import requests
import random
from sample_jobs import job_posts
from dotenv import load_dotenv
import os
load_dotenv()
api_endpoint = os.getenv("api_endpoint")
hf_token = os.getenv("hf_token")
import time
def simulated_code_animation(container):
"""Displays a simulated code loading animation in a container - one line at a time"""
code_snippets = [
"Initializing resume agent",
"Initializing resume agent.",
"Initializing resume agent..",
"Initializing resume agent...",
"Vectorizing job description",
"Vectorizing job description.",
"Vectorizing job description..",
"Vectorizing job description...",
"Connecting to database",
"Connecting to database.",
"Connecting to database..",
"Connecting to database...",
"Database connected!",
"Database connected!",
"Database connected!",
"Database connected!",
"Choosing correct database of resumes",
"Choosing correct database of resumes.",
"Choosing correct database of resumes..",
"Choosing correct database of resumes...",
"Matching job description to resumes",
"Matching job description to resumes.",
"Matching job description to resumes..",
"Matching job description to resumes...",
"Ranking fetched resumes",
"Ranking fetched resumes.",
"Ranking fetched resumes..",
"Ranking fetched resumes...",
"Generating explanations",
"Generating explanations.",
"Generating explanations..",
"Generating explanations...",
"Resumes coming up!"
]
# Add custom CSS for the text display
container.markdown("""
""", unsafe_allow_html=True)
terminal_placeholder = container.empty()
progress_bar = container.progress(0)
total_steps = len(code_snippets)
for idx, line in enumerate(code_snippets):
# Update progress bar
progress_value = idx / (total_steps - 1)
progress_bar.progress(progress_value)
# Update terminal text
terminal_placeholder.markdown(f'
{line}
', unsafe_allow_html=True)
time.sleep(0.85)
# Ensure progress bar reaches 100% at the end
progress_bar.progress(1.0)
return terminal_placeholder
def generate_phone_number():
"""Generate a random US phone number with +1 prefix"""
area_code = random.randint(200, 999)
middle_three = random.randint(100, 999)
last_four = random.randint(1000, 9999)
return f"+1 ({area_code}) {middle_three}-{last_four}"
def generate_email(full_name):
"""Generate email from full name"""
if not full_name or full_name == 'No Name':
return "contact@example.com"
# Clean and format the name
name_parts = full_name.lower().strip().split()
if len(name_parts) >= 2:
first_name = name_parts[0]
last_name = name_parts[-1]
return f"{first_name}.{last_name}@gmail.com"
else:
return f"{name_parts[0]}@gmail.com"
def generate_linkedin(full_name):
"""Generate LinkedIn URL from full name"""
if not full_name or full_name == 'No Name':
return "https://linkedin.com/in/professional-profile"
# Clean and format the name
name_parts = full_name.lower().strip().split()
if len(name_parts) >= 2:
first_name = name_parts[0]
last_name = name_parts[-1]
suffix = random.randint(10, 999) if random.random() < 0.3 else ""
return f"https://linkedin.com/in/{first_name}-{last_name}{suffix}"
else:
return f"https://linkedin.com/in/{name_parts[0]}-profile"
def main():
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"""