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# Fix SQLite version issue for ChromaDB
import sys
import platform
# Try to use pysqlite3 on all platforms when deploying
try:
__import__("pysqlite3")
sys.modules["sqlite3"] = sys.modules.pop("pysqlite3")
except ImportError:
# If pysqlite3 is not available, use the default sqlite3
# This can lead to issues with ChromaDB if sqlite3 version is < 3.35.0
pass
import streamlit as st
import os
from helpers import text_to_speech, autoplay_audio, speech_to_text
from generate_answer import conduct_interview, VectorDB
from audio_recorder_streamlit import audio_recorder
from streamlit_float import *
from tempfile import NamedTemporaryFile
from evaluation import evaluate_candidate_performance, display_performance_report
from podcast_generator import create_podcast_from_evaluation
# Create utils directory and session_utils.py
os.makedirs("utils", exist_ok=True)
def main():
# Initialize float feature
float_init()
# Add custom CSS for professional styling, including minimal mic styling
st.markdown(
"""
<style>
/* Main background with gradient */
.stApp {
background: linear-gradient(135deg, #f5f7fa 0%, #e4ecfb 100%);
}
/* Special styling for the Actionable Tips box */
.actionable-tips-box {
background-color: #f0f0f0;
color: #000000;
padding: 20px;
border-radius: 10px;
border-left: 4px solid #4776E6;
margin-bottom: 20px;
font-family: 'Arial', sans-serif;
}
/* Main title styling with enhanced appearance */
.main-title {
color: #283E4A;
font-size: 48px;
font-weight: 800;
margin-bottom: 5px;
text-align: center;
padding: 10px 0 0 0;
font-family: 'Arial', sans-serif;
text-shadow: 1px 1px 2px rgba(0,0,0,0.1);
background: linear-gradient(90deg, #283E4A, #4776E6);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
letter-spacing: -0.5px;
}
/* Subtitle styling */
.subtitle {
color: #4A4A4A;
font-size: 18px;
margin-bottom: 30px;
text-align: center;
font-family: 'Arial', sans-serif;
font-weight: 400;
}
/* Section headers styling with improved visual interest */
.section-header {
color: #283E4A;
font-size: 22px;
font-weight: 700;
margin: 12px 0;
padding-bottom: 8px;
border-bottom: 2px solid #4776E6;
font-family: 'Arial', sans-serif;
position: relative;
display: flex;
align-items: center;
gap: 8px;
}
.section-header:after {
content: "";
position: absolute;
bottom: -2px;
left: 0;
width: 100%;
height: 1px;
background: linear-gradient(to right, transparent, rgba(71, 118, 230, 0.4), transparent);
}
/* Section container styling for better visual separation */
.section-container {
background-color: #f0f0f0;
border-radius: 12px;
padding: 20px;
margin: 15px 0;
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.05);
border-top: 5px solid #4776E6;
transition: transform 0.3s ease, box-shadow 0.3s ease;
color: #000000;
}
.section-container:hover {
transform: translateY(-3px);
box-shadow: 0 8px 20px rgba(0, 0, 0, 0.1);
}
/* File uploader styling */
.stFileUploader > div > button {
background-color: #4776E6 !important;
color: white !important;
font-family: 'Arial', sans-serif !important;
font-weight: 600 !important;
padding: 4px 15px !important;
border-radius: 30px !important;
border: none !important;
transition: all 0.3s ease !important;
}
.stFileUploader > div > button:hover {
background-color: #3A5FBB !important;
box-shadow: 0 4px 10px rgba(71, 118, 230, 0.3) !important;
transform: translateY(-2px);
}
/* Text area styling */
.stTextArea textarea {
background-color: white;
color: #343A40;
border: 1px solid #CED4DA;
border-radius: 8px;
font-family: 'Arial', sans-serif;
box-shadow: inset 0 1px 3px rgba(0,0,0,0.05);
transition: border-color 0.3s ease, box-shadow 0.3s ease;
}
.stTextArea textarea:focus {
border-color: #4776E6 !important;
box-shadow: 0 0 0 3px rgba(71, 118, 230, 0.2) !important;
}
/* Job description styling */
.job-description-section {
color: #283E4A !important;
font-size: 22px;
font-weight: 700;
margin: 12px 0;
padding-bottom: 8px;
border-bottom: 2px solid #4776E6 !important;
font-family: 'Arial', sans-serif;
position: relative;
display: flex;
align-items: center;
gap: 8px;
}
.job-description-section:after {
content: "";
position: absolute;
bottom: -2px;
left: 0;
width: 100%;
height: 1px;
background: linear-gradient(to right, transparent, rgba(71, 118, 230, 0.4), transparent) !important;
}
/* Custom styles for Cover Letter specifically */
.cover-letter-header {
white-space: nowrap;
font-size: 22px;
font-weight: 700;
}
/* Card icon styling */
.header-icon {
display: inline-block;
margin-right: 5px;
}
/* Override all textarea stylings */
textarea, .stTextArea textarea, [data-testid="stTextArea"] textarea {
background-color: white !important;
color: #343A40 !important;
border: 1px solid #CED4DA !important;
border-radius: 8px;
font-family: 'Arial', sans-serif;
padding: 12px !important;
box-shadow: inset 0 1px 3px rgba(0,0,0,0.05);
}
/* Specific selector for job description textarea */
[data-testid="stTextArea"][key="job_description_textarea"] textarea {
background-color: white !important;
color: #343A40 !important;
border: 1px solid #CED4DA !important;
}
/* Streamlit default button override */
div.stButton > button:first-child {
background-color: #4776E6;
color: white;
border: none;
font-weight: 600;
font-family: 'Arial', sans-serif;
transition: all 0.3s ease;
border-radius: 30px;
padding: 5px 20px;
}
div.stButton > button:hover {
background-color: #3A5FBB;
color: white;
border: none;
transform: translateY(-2px);
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1);
}
/* Success message styling */
.element-container div[data-testid="stText"] {
background-color: #edfaf1 !important;
color: #1e7f4c !important;
padding: 8px 15px !important;
border-radius: 6px !important;
border-left: 4px solid #2ec973 !important;
font-weight: 500 !important;
margin: 10px 0 !important;
}
/* Animated icon pulse effect */
@keyframes float {
0% { transform: translateY(0px); }
50% { transform: translateY(-10px); }
100% { transform: translateY(0px); }
}
.floating-icon {
animation: float 3s ease-in-out infinite;
filter: drop-shadow(0 5px 15px rgba(0,0,0,0.1));
}
/* Warning message styling */
.stAlert {
border-radius: 8px !important;
border-left-width: 4px !important;
}
/* Chat message styling */
[data-testid="stChatMessage"] {
background-color: white !important;
border-radius: 15px !important;
padding: 15px !important;
box-shadow: 0 2px 10px rgba(0,0,0,0.05) !important;
margin-bottom: 15px !important;
border-left: 3px solid #4776E6 !important;
}
/* Custom styling for audio recorder container */
.audio-recorder {
display: flex !important;
align-items: center !important;
justify-content: center !important;
width: 100% !important;
}
/* Hide Streamlit branding */
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
/* Hide tooltips and instruction messages */
[data-testid="InputInstructions"] {display: none !important;}
/* Enhanced start button styling */
div.stButton > button[kind="primary"] {
background: linear-gradient(135deg, #1E3A5F, #2C4D7C) !important;
color: white !important;
font-size: 22px !important;
font-weight: bold !important;
border: none !important;
border-radius: 50px !important;
padding: 15px 30px !important;
width: 100% !important;
transition: all 0.4s ease !important;
box-shadow: 0 10px 20px rgba(30, 58, 95, 0.5) !important;
letter-spacing: 1px !important;
position: relative !important;
overflow: hidden !important;
z-index: 1 !important;
}
/* Hover effect with light sweep */
div.stButton > button[kind="primary"]:hover {
transform: translateY(-7px) !important;
box-shadow: 0 15px 30px rgba(30, 58, 95, 0.6) !important;
background: linear-gradient(135deg, #254470, #3A5E8E) !important;
}
/* Active state */
div.stButton > button[kind="primary"]:active {
transform: translateY(-3px) !important;
box-shadow: 0 8px 15px rgba(30, 58, 95, 0.5) !important;
}
/* Minimal CSS for mic icon styling */
.audio-recorder svg {
font-size: 1.5rem !important;
color: #4776E6 !important;
margin-left: 0 !important;
}
.audio-recorder svg[style*="color"] {
color: #FF3B30 !important;
}
/* Info box styling */
.info-box {
background-color: #e6e6e6;
border-radius: 10px;
padding: 20px;
margin-bottom: 20px;
border-left: 3px solid #4776E6;
font-family: 'Arial', sans-serif;
color: #000000;
}
/* Make audio player wider */
.stAudio {
width: 100% !important;
}
.stAudio > div {
width: 100% !important;
max-width: 100% !important;
}
.stAudio audio {
width: 100% !important;
}
</style>
""",
unsafe_allow_html=True,
)
# Enhanced title with animated icon
st.markdown(
"""
<div style="text-align: center; margin-bottom: 10px;">
<span style="font-size: 70px;" class="floating-icon">👨💼</span>
</div>
<h1 class="main-title">Interview Assistant</h1>
<p class="subtitle">Prepare for your next job interview with AI-powered practice</p>
""",
unsafe_allow_html=True,
)
# Initialize session state variables
if "job_description" not in st.session_state:
st.session_state.job_description = ""
# Initialize evaluation state
if "evaluation" not in st.session_state:
st.session_state.evaluation = None
# Initialize interview started flag
if "interview_started" not in st.session_state:
st.session_state.interview_started = False
# Initialize total questions counter
if "total_questions_asked" not in st.session_state:
st.session_state.total_questions_asked = 0
# Track if the last question has been answered
if "waiting_for_last_answer" not in st.session_state:
st.session_state.waiting_for_last_answer = False
# Track if interview is complete and ready for report
if "interview_complete" not in st.session_state:
st.session_state.interview_complete = False
# Check if evaluation is ready to be displayed
if st.session_state.evaluation is not None:
display_performance_report()
# Add Generate Podcast button in a centered column
col1, col2, col3 = st.columns([1, 2, 1])
with col2:
if st.button("Generate Podcast", key="generate_podcast", type="primary"):
# Retrieve the interview evaluation text from session_state
evaluation_text = st.session_state.evaluation
# Generate podcast script from the evaluation
with st.spinner(
"Generating podcast script from your interview evaluation..."
):
# Call create_podcast_from_evaluation which handles both script and audio generation
audio_file = create_podcast_from_evaluation()
if audio_file and os.path.exists(audio_file):
st.success("Podcast generated successfully!")
# Play the podcast audio using st.audio in full width
st.markdown(
'<h3 class="section-header">Listen to Your Interview Podcast</h3>',
unsafe_allow_html=True,
)
st.audio(audio_file)
else:
st.error("Failed to generate podcast. Please try again.")
return
# Only show the upload interface if interview hasn't started
if not st.session_state.interview_started:
# Create main layout
# Resume and Cover Letter in two columns
col1, col2 = st.columns(2, gap="large")
with col1:
st.markdown(
"""
<div class="section-container">
<h2 class="section-header"><span class="header-icon">📄</span> Resume</h2>
<p style='font-size: 14px; margin-top: 0px; color: #555;'>
Upload your resume to help tailor interview questions to your experience
</p>
""",
unsafe_allow_html=True,
)
resume_file = st.file_uploader("", type=["pdf"], key="resume_uploader")
if resume_file is not None:
st.success("Resume uploaded successfully ✓")
st.markdown("</div>", unsafe_allow_html=True)
with col2:
st.markdown(
"""
<div class="section-container">
<h2 class="section-header cover-letter-header"><span class="header-icon">📝</span> Cover Letter</h2>
<p style='font-size: 14px; margin-top: 0px; color: #555;'>
Upload your cover letter to receive more personalized feedback
</p>
""",
unsafe_allow_html=True,
)
cover_letter_file = st.file_uploader(
"", type=["pdf"], key="cover_letter_uploader"
)
if cover_letter_file is not None:
st.success("Cover letter uploaded successfully ✓")
st.markdown("</div>", unsafe_allow_html=True)
# Job Description area with enhanced styling
st.markdown(
"""
<div class="section-container">
<h2 class="job-description-section"><span class="header-icon">💼</span> Job Description</h2>
<p style='font-size: 14px; margin-top: 0px; color: #555;'>
Paste the job description to help tailor the interview questions to the role
</p>
""",
unsafe_allow_html=True,
)
# Add a custom placeholder style for the job description
st.markdown(
"""
<style>
[data-testid="stTextArea"] .stTextArea p {
font-size: 14px !important;
color: #555 !important;
}
</style>
""",
unsafe_allow_html=True,
)
job_description = st.text_area(
"Enter job description...",
value=st.session_state.job_description,
key="job_description_textarea",
height=150,
)
st.session_state.job_description = job_description
st.markdown("</div>", unsafe_allow_html=True)
# Check if at least one field is provided
documents_provided = (
resume_file is not None
or cover_letter_file is not None
or job_description.strip()
)
if not documents_provided:
st.warning(
"📋 Please upload at least your resume, cover letter, or provide a job description to begin."
)
else:
# Show start interview button with enhanced styling and centered layout
st.markdown("<br>", unsafe_allow_html=True)
start_col1, start_col2, start_col3 = st.columns([1, 2, 1])
with start_col2:
st.markdown(
"""
<style>
/* Enhanced start button styling */
div.stButton > button[kind="primary"] {
background: linear-gradient(135deg, #1E3A5F, #2C4D7C) !important;
color: white !important;
font-size: 22px !important;
font-weight: bold !important;
border: none !important;
border-radius: 50px !important;
padding: 15px 30px !important;
width: 100% !important;
transition: all 0.4s ease !important;
box-shadow: 0 10px 20px rgba(30, 58, 95, 0.5) !important;
letter-spacing: 1px !important;
position: relative !important;
overflow: hidden !important;
z-index: 1 !important;
}
/* Hover effect with light sweep */
div.stButton > button[kind="primary"]:hover {
transform: translateY(-7px) !important;
box-shadow: 0 15px 30px rgba(30, 58, 95, 0.6) !important;
background: linear-gradient(135deg, #254470, #3A5E8E) !important;
}
/* Active state */
div.stButton > button[kind="primary"]:active {
transform: translateY(-3px) !important;
box-shadow: 0 8px 15px rgba(30, 58, 95, 0.5) !important;
}
</style>
""",
unsafe_allow_html=True,
)
if st.button(
"🚀 Start Your Interview", key="start_interview", type="primary"
):
# Save the documents before rerunning
if resume_file is not None:
with NamedTemporaryFile(
delete=False, suffix=".pdf"
) as resume_temp:
resume_temp.write(resume_file.getvalue())
st.session_state.resume_path = resume_temp.name
if cover_letter_file is not None:
with NamedTemporaryFile(
delete=False, suffix=".pdf"
) as cover_letter_temp:
cover_letter_temp.write(cover_letter_file.getvalue())
st.session_state.cover_letter_path = cover_letter_temp.name
st.session_state.interview_started = True
st.rerun()
# Only proceed with interview if the start button has been clicked
if not st.session_state.interview_started:
return
# Interview is started at this point
# Initialize paths list for VectorDB
pdf_paths = []
# Add paths to the list if they exist in session state
if hasattr(st.session_state, "resume_path") and st.session_state.resume_path:
pdf_paths.append(st.session_state.resume_path)
if (
hasattr(st.session_state, "cover_letter_path")
and st.session_state.cover_letter_path
):
pdf_paths.append(st.session_state.cover_letter_path)
# Initialize VectorDB with the paths of the uploaded PDFs
try:
vector_db = VectorDB(pdf_paths) if pdf_paths else None
if vector_db and not vector_db.is_available:
st.warning(
"Document search capability is disabled due to environment limitations. The interview will proceed without referencing your documents."
)
except Exception as e:
st.error(f"Failed to initialize document processing: {str(e)}")
vector_db = None
# Show chat interface title when interview has started
if st.session_state.interview_started:
st.markdown(
'<h3 class="section-header">Interview Session</h3>', unsafe_allow_html=True
)
# Initialize session state for messages and interview stage if not already set
if "messages" not in st.session_state:
# Construct the initial greeting based on the existence of pdf_paths
if pdf_paths:
initial_greeting = (
"Hello and welcome to your interview session! "
"I'm delighted to speak with you today. I've had the chance to review your documents. "
"I'll be asking about your experiences and achievements. Could you start "
"by telling me a bit about your background and the areas you're most passionate about?"
)
else:
initial_greeting = (
"Hello and welcome to your interview session! "
"I'm delighted to speak with you today. Based on the information you provided, "
"I'll be asking about your experiences and perspectives. Could you start "
"by telling me a bit about your background and the areas you're most passionate about?"
)
st.session_state.messages = [{"role": "assistant", "content": initial_greeting}]
# Generate and play audio for initial greeting
with st.spinner("Generating audio response..."):
audio_file = text_to_speech(initial_greeting)
autoplay_audio(audio_file)
os.remove(audio_file)
if "interview_stage" not in st.session_state:
st.session_state.interview_stage = {
"current": "introduction",
"stages": [
"introduction",
"technical",
"behavioral",
"experience",
"closing",
],
"questions_asked": 0,
}
# ---------------------------------------------------------
# Updated Footer: Simple mic layout with one "Click to record" label
footer_container = st.container()
with footer_container:
# Create two columns: one for the label+mic, and an empty one for spacing if needed
mic_col1, mic_col2 = st.columns([1, 4])
with mic_col1:
st.markdown(
"""
<div style="display: flex; align-items: center; gap: 10px; margin-bottom: 20px;">
<span style="
color: #4776E6;
font-weight: 600;
font-size: 16px;
font-family: 'Montserrat', 'Roboto', sans-serif;
letter-spacing: 0.3px;">
Click to record
</span>
<div id="my_audio_recorder"></div>
</div>
""",
unsafe_allow_html=True,
)
# Pass text="" to remove the default "Click to record" label from the library
audio_bytes = audio_recorder(
pause_threshold=2.0,
icon_size="2x",
recording_color="#FF3B30",
neutral_color="#4776E6",
text="", # <-- This ensures no duplicate "Click to record" text
key="my_audio_recorder",
)
# We do NOT show "Audio has been recorded." anymore
# ---------------------------------------------------------
# Display all conversation messages
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.write(message["content"])
# Process audio input if available
if audio_bytes:
with st.spinner("Transcribing..."):
webm_file_path = "temp_audio.mp3"
with open(webm_file_path, "wb") as f:
f.write(audio_bytes)
transcript = speech_to_text(webm_file_path)
if transcript:
st.session_state.messages.append(
{"role": "user", "content": transcript}
)
with st.chat_message("user"):
st.write(transcript)
os.remove(webm_file_path)
# If the last message is not from the assistant, generate a response
if (
st.session_state.messages[-1]["role"] != "assistant"
and st.session_state.total_questions_asked < 3
):
with st.chat_message("assistant"):
with st.spinner("Thinking🤔..."):
if vector_db:
final_response = conduct_interview(
st.session_state.messages,
vector_db,
st.session_state.interview_stage,
)
else:
final_response = conduct_interview(
st.session_state.messages,
None,
st.session_state.interview_stage,
)
st.session_state.interview_stage["questions_asked"] += 1
st.session_state.total_questions_asked += 1
if st.session_state.total_questions_asked == 3:
st.session_state.waiting_for_last_answer = True
if st.session_state.interview_stage["questions_asked"] >= 2:
stages = st.session_state.interview_stage["stages"]
current_index = stages.index(
st.session_state.interview_stage["current"]
)
if current_index < len(stages) - 1:
st.session_state.interview_stage["current"] = stages[
current_index + 1
]
st.session_state.interview_stage["questions_asked"] = 0
with st.spinner("Generating audio response..."):
audio_file = text_to_speech(final_response)
autoplay_audio(audio_file)
st.write(final_response)
st.session_state.messages.append(
{"role": "assistant", "content": final_response}
)
os.remove(audio_file)
# Check if all 3 questions have been asked and answered but the thankyou message hasn't been sent
if (
st.session_state.total_questions_asked >= 3
and st.session_state.waiting_for_last_answer
and st.session_state.messages[-1]["role"] == "user"
and not st.session_state.interview_complete
):
thank_you_message = "Thank you for completing the interview. Now I'll give you a summary report of your performance."
with st.chat_message("assistant"):
with st.spinner("Generating audio response..."):
audio_file = text_to_speech(thank_you_message)
autoplay_audio(audio_file)
st.write(thank_you_message)
os.remove(audio_file)
st.session_state.messages.append(
{"role": "assistant", "content": thank_you_message}
)
st.session_state.interview_complete = True
st.session_state.waiting_for_last_answer = False
# Display Generate Report button if interview is complete
if st.session_state.interview_complete and st.session_state.evaluation is None:
report_col1, report_col2 = st.columns([1, 3])
with report_col1:
if st.button("Generate Report", type="primary", key="generate_report"):
with st.spinner("Generating your interview evaluation..."):
evaluate_candidate_performance()
st.rerun()
footer_container.float("bottom: 0rem;")
if __name__ == "__main__":
main()
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