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app.py
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| 1 |
+
from typing import Literal, Tuple, Dict, Optional
|
| 2 |
+
import os
|
| 3 |
+
import time
|
| 4 |
+
import json
|
| 5 |
+
import requests
|
| 6 |
+
import PyPDF2
|
| 7 |
+
from datetime import datetime, timedelta
|
| 8 |
+
import pytz
|
| 9 |
+
import streamlit as st
|
| 10 |
+
from phi.agent import Agent
|
| 11 |
+
from phi.model.openai import OpenAIChat
|
| 12 |
+
from phi.tools.email import EmailTools
|
| 13 |
+
from phi.tools.zoom import ZoomTool
|
| 14 |
+
from phi.utils.log import logger
|
| 15 |
+
from streamlit_pdf_viewer import pdf_viewer
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
class CustomZoomTool(ZoomTool):
|
| 20 |
+
def __init__(self, *, account_id: Optional[str] = None, client_id: Optional[str] = None, client_secret: Optional[str] = None, name: str = "zoom_tool"):
|
| 21 |
+
super().__init__(account_id=account_id, client_id=client_id, client_secret=client_secret, name=name)
|
| 22 |
+
self.token_url = "https://zoom.us/oauth/token"
|
| 23 |
+
self.access_token = None
|
| 24 |
+
self.token_expires_at = 0
|
| 25 |
+
|
| 26 |
+
def get_access_token(self) -> str:
|
| 27 |
+
if self.access_token and time.time() < self.token_expires_at:
|
| 28 |
+
return str(self.access_token)
|
| 29 |
+
|
| 30 |
+
headers = {"Content-Type": "application/x-www-form-urlencoded"}
|
| 31 |
+
data = {"grant_type": "account_credentials", "account_id": self.account_id}
|
| 32 |
+
|
| 33 |
+
try:
|
| 34 |
+
response = requests.post(self.token_url, headers=headers, data=data, auth=(self.client_id, self.client_secret))
|
| 35 |
+
response.raise_for_status()
|
| 36 |
+
|
| 37 |
+
token_info = response.json()
|
| 38 |
+
self.access_token = token_info["access_token"]
|
| 39 |
+
expires_in = token_info["expires_in"]
|
| 40 |
+
self.token_expires_at = time.time() + expires_in - 60
|
| 41 |
+
|
| 42 |
+
self._set_parent_token(str(self.access_token))
|
| 43 |
+
return str(self.access_token)
|
| 44 |
+
|
| 45 |
+
except requests.RequestException as e:
|
| 46 |
+
logger.error(f"Error fetching access token: {e}")
|
| 47 |
+
return ""
|
| 48 |
+
|
| 49 |
+
def _set_parent_token(self, token: str) -> None:
|
| 50 |
+
"""Helper method to set the token in the parent ZoomTool class"""
|
| 51 |
+
if token:
|
| 52 |
+
self._ZoomTool__access_token = token
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
# Role requirements as a constant dictionary
|
| 56 |
+
ROLE_REQUIREMENTS: Dict[str, str] = {
|
| 57 |
+
"ai_ml_engineer": """
|
| 58 |
+
Required Skills:
|
| 59 |
+
- Python, PyTorch/TensorFlow
|
| 60 |
+
- Machine Learning algorithms and frameworks
|
| 61 |
+
- Deep Learning and Neural Networks
|
| 62 |
+
- Data preprocessing and analysis
|
| 63 |
+
- MLOps and model deployment
|
| 64 |
+
- RAG, LLM, Finetuning and Prompt Engineering
|
| 65 |
+
""",
|
| 66 |
+
|
| 67 |
+
"frontend_engineer": """
|
| 68 |
+
Required Skills:
|
| 69 |
+
- React/Vue.js/Angular
|
| 70 |
+
- HTML5, CSS3, JavaScript/TypeScript
|
| 71 |
+
- Responsive design
|
| 72 |
+
- State management
|
| 73 |
+
- Frontend testing
|
| 74 |
+
""",
|
| 75 |
+
|
| 76 |
+
"backend_engineer": """
|
| 77 |
+
Required Skills:
|
| 78 |
+
- Python/Java/Node.js
|
| 79 |
+
- REST APIs
|
| 80 |
+
- Database design and management
|
| 81 |
+
- System architecture
|
| 82 |
+
- Cloud services (AWS/GCP/Azure)
|
| 83 |
+
- Kubernetes, Docker, CI/CD
|
| 84 |
+
"""
|
| 85 |
+
}
|
| 86 |
+
|
| 87 |
+
|
| 88 |
+
def init_session_state() -> None:
|
| 89 |
+
"""Initialize only necessary session state variables."""
|
| 90 |
+
defaults = {
|
| 91 |
+
'candidate_email': "", 'openai_api_key': "", 'resume_text': "", 'analysis_complete': False,
|
| 92 |
+
'is_selected': False, 'zoom_account_id': "", 'zoom_client_id': "", 'zoom_client_secret': "",
|
| 93 |
+
'email_sender': "", 'email_passkey': "", 'company_name': "", 'current_pdf': None
|
| 94 |
+
}
|
| 95 |
+
for key, value in defaults.items():
|
| 96 |
+
if key not in st.session_state:
|
| 97 |
+
st.session_state[key] = value
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
def create_resume_analyzer() -> Agent:
|
| 101 |
+
"""Creates and returns a resume analysis agent."""
|
| 102 |
+
if not st.session_state.openai_api_key:
|
| 103 |
+
st.error("Please enter your OpenAI API key first.")
|
| 104 |
+
return None
|
| 105 |
+
|
| 106 |
+
return Agent(
|
| 107 |
+
model=OpenAIChat(
|
| 108 |
+
id="gpt-4o",
|
| 109 |
+
api_key=st.session_state.openai_api_key
|
| 110 |
+
),
|
| 111 |
+
description="You are an expert technical recruiter who analyzes resumes.",
|
| 112 |
+
instructions=[
|
| 113 |
+
"Analyze the resume against the provided job requirements",
|
| 114 |
+
"Be lenient with AI/ML candidates who show strong potential",
|
| 115 |
+
"Consider project experience as valid experience",
|
| 116 |
+
"Value hands-on experience with key technologies",
|
| 117 |
+
"Return a JSON response with selection decision and feedback"
|
| 118 |
+
],
|
| 119 |
+
markdown=True
|
| 120 |
+
)
|
| 121 |
+
|
| 122 |
+
def create_email_agent() -> Agent:
|
| 123 |
+
return Agent(
|
| 124 |
+
model=OpenAIChat(
|
| 125 |
+
id="gpt-4o",
|
| 126 |
+
api_key=st.session_state.openai_api_key
|
| 127 |
+
),
|
| 128 |
+
tools=[EmailTools(
|
| 129 |
+
receiver_email=st.session_state.candidate_email,
|
| 130 |
+
sender_email=st.session_state.email_sender,
|
| 131 |
+
sender_name=st.session_state.company_name,
|
| 132 |
+
sender_passkey=st.session_state.email_passkey
|
| 133 |
+
)],
|
| 134 |
+
description="You are a professional recruitment coordinator handling email communications.",
|
| 135 |
+
instructions=[
|
| 136 |
+
"Draft and send professional recruitment emails",
|
| 137 |
+
"Act like a human writing an email",
|
| 138 |
+
"Maintain a friendly yet professional tone",
|
| 139 |
+
"Always end emails with exactly: 'Best,\nthe ClutchAi recruiting team'",
|
| 140 |
+
"Never include the sender's or receiver's name in the signature",
|
| 141 |
+
f"The name of the company is '{st.session_state.company_name}'"
|
| 142 |
+
],
|
| 143 |
+
markdown=True,
|
| 144 |
+
show_tool_calls=True
|
| 145 |
+
)
|
| 146 |
+
|
| 147 |
+
|
| 148 |
+
def create_scheduler_agent() -> Agent:
|
| 149 |
+
zoom_tools = CustomZoomTool(
|
| 150 |
+
account_id=st.session_state.zoom_account_id,
|
| 151 |
+
client_id=st.session_state.zoom_client_id,
|
| 152 |
+
client_secret=st.session_state.zoom_client_secret
|
| 153 |
+
)
|
| 154 |
+
|
| 155 |
+
return Agent(
|
| 156 |
+
name="Interview Scheduler",
|
| 157 |
+
model=OpenAIChat(
|
| 158 |
+
id="gpt-4o",
|
| 159 |
+
api_key=st.session_state.openai_api_key
|
| 160 |
+
),
|
| 161 |
+
tools=[zoom_tools],
|
| 162 |
+
description="You are an interview scheduling coordinator.",
|
| 163 |
+
instructions=[
|
| 164 |
+
"You are an expert at scheduling technical interviews using Zoom.",
|
| 165 |
+
"Schedule interviews during business hours (9 AM - 5 PM EST)",
|
| 166 |
+
"Create meetings with proper titles and descriptions",
|
| 167 |
+
"Ensure all meeting details are included in responses",
|
| 168 |
+
"Use ISO 8601 format for dates",
|
| 169 |
+
"Handle scheduling errors gracefully"
|
| 170 |
+
],
|
| 171 |
+
markdown=True,
|
| 172 |
+
show_tool_calls=True
|
| 173 |
+
)
|
| 174 |
+
|
| 175 |
+
|
| 176 |
+
def extract_text_from_pdf(pdf_file) -> str:
|
| 177 |
+
try:
|
| 178 |
+
pdf_reader = PyPDF2.PdfReader(pdf_file)
|
| 179 |
+
text = ""
|
| 180 |
+
for page in pdf_reader.pages:
|
| 181 |
+
text += page.extract_text()
|
| 182 |
+
return text
|
| 183 |
+
except Exception as e:
|
| 184 |
+
st.error(f"Error extracting PDF text: {str(e)}")
|
| 185 |
+
return ""
|
| 186 |
+
|
| 187 |
+
def extract_email_from_resume(resume_text: str, analyzer: Agent) -> Optional[str]:
|
| 188 |
+
"""
|
| 189 |
+
Uses GPT-4 to extract an email address from the resume text.
|
| 190 |
+
"""
|
| 191 |
+
try:
|
| 192 |
+
response = analyzer.run(
|
| 193 |
+
f"""Extract the email address from the following text:
|
| 194 |
+
Resume Text:
|
| 195 |
+
{resume_text}
|
| 196 |
+
|
| 197 |
+
Return the email address only, or 'None' if not found."""
|
| 198 |
+
)
|
| 199 |
+
assistant_message = next((msg.content for msg in response.messages if msg.role == 'assistant'), None)
|
| 200 |
+
return assistant_message.strip() if assistant_message and assistant_message != 'None' else None
|
| 201 |
+
|
| 202 |
+
except Exception as e:
|
| 203 |
+
logger.error(f"Error extracting email from resume: {str(e)}")
|
| 204 |
+
return None
|
| 205 |
+
|
| 206 |
+
|
| 207 |
+
def analyze_resume(
|
| 208 |
+
resume_text: str,
|
| 209 |
+
role: Literal["ai_ml_engineer", "frontend_engineer", "backend_engineer"],
|
| 210 |
+
analyzer: Agent
|
| 211 |
+
) -> Tuple[bool, str,int]:
|
| 212 |
+
try:
|
| 213 |
+
response = analyzer.run(
|
| 214 |
+
f"""Act as a ATS tracking agent, and score the resume first and Please analyze this resume against the following requirements and provide your response in valid JSON format also provide a score out of 100.:
|
| 215 |
+
Role Requirements:
|
| 216 |
+
{ROLE_REQUIREMENTS[role]}
|
| 217 |
+
Resume Text:
|
| 218 |
+
{resume_text}
|
| 219 |
+
Your response must be a valid JSON object like this:
|
| 220 |
+
{{
|
| 221 |
+
"selected": true/false,
|
| 222 |
+
"feedback": "Detailed feedback explaining the decision",
|
| 223 |
+
"matching_skills": ["skill1", "skill2"],
|
| 224 |
+
"missing_skills": ["skill3", "skill4"],
|
| 225 |
+
"experience_level": "junior/mid/senior"
|
| 226 |
+
}}
|
| 227 |
+
Evaluation criteria:
|
| 228 |
+
1. Match at least 70% of required skills
|
| 229 |
+
2. Consider both theoretical knowledge and practical experience
|
| 230 |
+
3. Value project experience and real-world applications
|
| 231 |
+
4. Consider transferable skills from similar technologies
|
| 232 |
+
5. Look for evidence of continuous learning and adaptability
|
| 233 |
+
Important: Return ONLY the JSON object without any markdown formatting or backticks.
|
| 234 |
+
"""
|
| 235 |
+
)
|
| 236 |
+
|
| 237 |
+
assistant_message = next((msg.content for msg in response.messages if msg.role == 'assistant'), None)
|
| 238 |
+
if not assistant_message:
|
| 239 |
+
raise ValueError("No assistant message found in response.")
|
| 240 |
+
|
| 241 |
+
result = json.loads(assistant_message.strip())
|
| 242 |
+
if not isinstance(result, dict) or not all(k in result for k in ["selected", "feedback"]):
|
| 243 |
+
raise ValueError("Invalid response format")
|
| 244 |
+
|
| 245 |
+
return result["selected"], result["feedback"]
|
| 246 |
+
|
| 247 |
+
except (json.JSONDecodeError, ValueError) as e:
|
| 248 |
+
st.error(f"Error processing response: {str(e)}")
|
| 249 |
+
return False, f"Error analyzing resume: {str(e)}"
|
| 250 |
+
|
| 251 |
+
# The modified sections include analyze_resume_with_score and main logic.
|
| 252 |
+
|
| 253 |
+
def analyze_resume_with_score(
|
| 254 |
+
resume_text: str,
|
| 255 |
+
role: Literal["ai_ml_engineer", "frontend_engineer", "backend_engineer"],
|
| 256 |
+
analyzer: Agent
|
| 257 |
+
) -> Tuple[bool, str, int]:
|
| 258 |
+
try:
|
| 259 |
+
response = analyzer.run(
|
| 260 |
+
f"""Act as an ATS tracking agent. Please score this resume and analyze it against the following requirements:
|
| 261 |
+
Role Requirements:
|
| 262 |
+
{ROLE_REQUIREMENTS[role]}
|
| 263 |
+
Resume Text:
|
| 264 |
+
{resume_text}
|
| 265 |
+
Your response must be a valid JSON object like this:
|
| 266 |
+
{{
|
| 267 |
+
"selected": true/false,
|
| 268 |
+
"feedback": "Detailed feedback explaining the decision",
|
| 269 |
+
"ats_score": # ATS score as an integer percentage
|
| 270 |
+
"matching_skills": ["skill1", "skill2"],
|
| 271 |
+
"missing_skills": ["skill3", "skill4"],
|
| 272 |
+
"experience_level": "junior/mid/senior"
|
| 273 |
+
}}
|
| 274 |
+
Evaluation criteria:
|
| 275 |
+
1. Match at least 70% of required skills
|
| 276 |
+
2. Consider both theoretical knowledge and practical experience
|
| 277 |
+
3. Value project experience and real-world applications
|
| 278 |
+
4. Consider transferable skills from similar technologies
|
| 279 |
+
5. Look for evidence of continuous learning and adaptability
|
| 280 |
+
Important: Return ONLY the JSON object without any markdown formatting or backticks.
|
| 281 |
+
"""
|
| 282 |
+
)
|
| 283 |
+
|
| 284 |
+
assistant_message = next((msg.content for msg in response.messages if msg.role == 'assistant'), None)
|
| 285 |
+
|
| 286 |
+
# DEBUG: Print the raw response
|
| 287 |
+
print("DEBUG: Raw assistant message:", assistant_message)
|
| 288 |
+
|
| 289 |
+
if not assistant_message:
|
| 290 |
+
raise ValueError("No assistant message found in response.")
|
| 291 |
+
|
| 292 |
+
result = json.loads(assistant_message.strip())
|
| 293 |
+
|
| 294 |
+
# DEBUG: Print parsed JSON response
|
| 295 |
+
print("DEBUG: Parsed JSON response:", result)
|
| 296 |
+
|
| 297 |
+
if not isinstance(result, dict) or not all(k in result for k in ["selected", "feedback", "ats_score"]):
|
| 298 |
+
raise ValueError("Invalid response format")
|
| 299 |
+
|
| 300 |
+
return result["selected"], result["feedback"], result["ats_score"]
|
| 301 |
+
|
| 302 |
+
except (json.JSONDecodeError, ValueError) as e:
|
| 303 |
+
st.error(f"Error processing response: {str(e)}")
|
| 304 |
+
return False, f"Error analyzing resume: {str(e)}", 0
|
| 305 |
+
|
| 306 |
+
|
| 307 |
+
|
| 308 |
+
def send_selection_email(email_agent: Agent, to_email: str, role: str) -> None:
|
| 309 |
+
email_agent.run(
|
| 310 |
+
f"""
|
| 311 |
+
Send an email to {to_email} regarding their selection for the {role} position.
|
| 312 |
+
The email should:
|
| 313 |
+
1. Congratulate them on being selected
|
| 314 |
+
2. Explain the next steps in the process
|
| 315 |
+
3. Mention that they will receive interview details shortly
|
| 316 |
+
4. The name of the company is 'ClutchAI Recruiting Team'
|
| 317 |
+
"""
|
| 318 |
+
)
|
| 319 |
+
|
| 320 |
+
|
| 321 |
+
def send_rejection_email(email_agent: Agent, to_email: str, role: str, feedback: str) -> None:
|
| 322 |
+
"""
|
| 323 |
+
Send a rejection email with constructive feedback.
|
| 324 |
+
"""
|
| 325 |
+
email_agent.run(
|
| 326 |
+
f"""
|
| 327 |
+
Send an email to {to_email} regarding their application for the {role} position.
|
| 328 |
+
Use this specific style:
|
| 329 |
+
2. be empathetic and human
|
| 330 |
+
3. mention specific feedback from: {feedback}
|
| 331 |
+
4. encourage them to upskill and try again
|
| 332 |
+
5. suggest some learning resources based on missing skills
|
| 333 |
+
6. end the email with exactly:
|
| 334 |
+
Best,
|
| 335 |
+
The Clutchai recruiting team
|
| 336 |
+
|
| 337 |
+
Do not include any names in the signature.
|
| 338 |
+
The tone should be like a human writing a quick but thoughtful email.
|
| 339 |
+
"""
|
| 340 |
+
)
|
| 341 |
+
|
| 342 |
+
|
| 343 |
+
def schedule_interview(scheduler: Agent, candidate_email: str, email_agent: Agent, role: str) -> None:
|
| 344 |
+
"""
|
| 345 |
+
Schedule interviews during business hours (9 AM - 5 PM IST).
|
| 346 |
+
"""
|
| 347 |
+
try:
|
| 348 |
+
# Get current time in IST
|
| 349 |
+
ny_tz= pytz.timezone('US/Eastern')
|
| 350 |
+
current_time_ist = datetime.now(ny_tz)
|
| 351 |
+
|
| 352 |
+
tomorrow_ist = current_time_ist + timedelta(days=1)
|
| 353 |
+
interview_time = tomorrow_ist.replace(hour=11, minute=0, second=0, microsecond=0)
|
| 354 |
+
formatted_time = interview_time.strftime('%Y-%m-%dT%H:%M:%S')
|
| 355 |
+
|
| 356 |
+
meeting_response = scheduler.run(
|
| 357 |
+
f"""Schedule a 60-minute technical interview with these specifications:
|
| 358 |
+
- Title: '{role} Technical Interview'
|
| 359 |
+
- Date: {formatted_time}
|
| 360 |
+
- Timezone: EST (Eastern Standard Time)
|
| 361 |
+
- Attendee: {candidate_email}
|
| 362 |
+
|
| 363 |
+
Important Notes:
|
| 364 |
+
- The meeting must be between 9 AM - 5 PM IST
|
| 365 |
+
- Use EST (UTC+5:30) timezone for all communications
|
| 366 |
+
- Include timezone information in the meeting details
|
| 367 |
+
"""
|
| 368 |
+
)
|
| 369 |
+
|
| 370 |
+
email_agent.run(
|
| 371 |
+
f"""Send an interview confirmation email with these details:
|
| 372 |
+
- Role: {role} position
|
| 373 |
+
- Meeting Details: {meeting_response}
|
| 374 |
+
|
| 375 |
+
Important:
|
| 376 |
+
- Clearly specify that the time is in EST (Eastern Standard Time)
|
| 377 |
+
- Ask the candidate to join 5 minutes early
|
| 378 |
+
- Include timezone conversion link if possible
|
| 379 |
+
- Ask him to be confident and not so nervous and prepare well for the interview
|
| 380 |
+
"""
|
| 381 |
+
)
|
| 382 |
+
|
| 383 |
+
st.success("Interview scheduled successfully!")
|
| 384 |
+
|
| 385 |
+
except Exception as e:
|
| 386 |
+
logger.error(f"Error scheduling interview: {str(e)}")
|
| 387 |
+
st.error("Unable to schedule interview. Please try again.")
|
| 388 |
+
|
| 389 |
+
|
| 390 |
+
def main() -> None:
|
| 391 |
+
st.set_page_config(page_title="AI Recruitment System", page_icon="π€", layout="wide")
|
| 392 |
+
|
| 393 |
+
# Inject custom CSS for dark blue background
|
| 394 |
+
st.markdown(
|
| 395 |
+
"""
|
| 396 |
+
<style>
|
| 397 |
+
.stApp {
|
| 398 |
+
background-color: #001f3f; /* Dark blue */
|
| 399 |
+
color: white; /* White text for contrast */
|
| 400 |
+
}
|
| 401 |
+
</style>
|
| 402 |
+
""",
|
| 403 |
+
unsafe_allow_html=True
|
| 404 |
+
)
|
| 405 |
+
|
| 406 |
+
st.title("π AI Recruitment System")
|
| 407 |
+
st.markdown(
|
| 408 |
+
"""
|
| 409 |
+
Welcome to the AI Recruitment System!
|
| 410 |
+
Streamline your hiring process with AI-powered resume analysis and interview scheduling.
|
| 411 |
+
"""
|
| 412 |
+
)
|
| 413 |
+
st.markdown("---")
|
| 414 |
+
|
| 415 |
+
|
| 416 |
+
init_session_state()
|
| 417 |
+
with st.sidebar:
|
| 418 |
+
st.header("Configuration")
|
| 419 |
+
|
| 420 |
+
# OpenAI Configuration
|
| 421 |
+
st.subheader("OpenAI Settings")
|
| 422 |
+
api_key = st.text_input("OpenAI API Key", type="password", value=st.session_state.openai_api_key, help="Get your API key from platform.openai.com")
|
| 423 |
+
if api_key: st.session_state.openai_api_key = api_key
|
| 424 |
+
|
| 425 |
+
st.subheader("Zoom Settings")
|
| 426 |
+
zoom_account_id = st.text_input("Zoom Account ID", type="password", value=st.session_state.zoom_account_id)
|
| 427 |
+
zoom_client_id = st.text_input("Zoom Client ID", type="password", value=st.session_state.zoom_client_id)
|
| 428 |
+
zoom_client_secret = st.text_input("Zoom Client Secret", type="password", value=st.session_state.zoom_client_secret)
|
| 429 |
+
|
| 430 |
+
st.subheader("Email Settings")
|
| 431 |
+
email_sender = st.text_input("Sender Email", value=st.session_state.email_sender, help="Email address to send from")
|
| 432 |
+
email_passkey = st.text_input("Email App Password", type="password", value=st.session_state.email_passkey, help="App-specific password for email")
|
| 433 |
+
company_name = st.text_input("Company Name", value=st.session_state.company_name, help="Name to use in email communications")
|
| 434 |
+
|
| 435 |
+
if zoom_account_id: st.session_state.zoom_account_id = zoom_account_id
|
| 436 |
+
if zoom_client_id: st.session_state.zoom_client_id = zoom_client_id
|
| 437 |
+
if zoom_client_secret: st.session_state.zoom_client_secret = zoom_client_secret
|
| 438 |
+
if email_sender: st.session_state.email_sender = email_sender
|
| 439 |
+
if email_passkey: st.session_state.email_passkey = email_passkey
|
| 440 |
+
if company_name: st.session_state.company_name = company_name
|
| 441 |
+
|
| 442 |
+
required_configs = {'OpenAI API Key': st.session_state.openai_api_key, 'Zoom Account ID': st.session_state.zoom_account_id,
|
| 443 |
+
'Zoom Client ID': st.session_state.zoom_client_id, 'Zoom Client Secret': st.session_state.zoom_client_secret,
|
| 444 |
+
'Email Sender': st.session_state.email_sender, 'Email Password': st.session_state.email_passkey,
|
| 445 |
+
'Company Name': st.session_state.company_name}
|
| 446 |
+
|
| 447 |
+
missing_configs = [k for k, v in required_configs.items() if not v]
|
| 448 |
+
if missing_configs:
|
| 449 |
+
st.warning(f"Please configure the following in the sidebar: {', '.join(missing_configs)}")
|
| 450 |
+
return
|
| 451 |
+
|
| 452 |
+
if not st.session_state.openai_api_key:
|
| 453 |
+
st.warning("Please enter your OpenAI API key in the sidebar to continue.")
|
| 454 |
+
return
|
| 455 |
+
|
| 456 |
+
role = st.selectbox("Select the role you're applying for:", ["ai_ml_engineer", "frontend_engineer", "backend_engineer"])
|
| 457 |
+
with st.expander("View Required Skills", expanded=True): st.markdown(ROLE_REQUIREMENTS[role])
|
| 458 |
+
|
| 459 |
+
# Add a "New Application" button before the resume upload
|
| 460 |
+
if st.button("π New Application"):
|
| 461 |
+
# Clear only the application-related states
|
| 462 |
+
keys_to_clear = ['resume_text', 'analysis_complete', 'is_selected', 'candidate_email', 'current_pdf']
|
| 463 |
+
for key in keys_to_clear:
|
| 464 |
+
if key in st.session_state:
|
| 465 |
+
st.session_state[key] = None if key == 'current_pdf' else ""
|
| 466 |
+
st.rerun()
|
| 467 |
+
|
| 468 |
+
resume_file = st.file_uploader("Upload your resume (PDF)", type=["pdf"], key="resume_uploader")
|
| 469 |
+
if resume_file is not None and resume_file != st.session_state.get('current_pdf'):
|
| 470 |
+
st.session_state.current_pdf = resume_file
|
| 471 |
+
st.session_state.resume_text = ""
|
| 472 |
+
st.session_state.analysis_complete = False
|
| 473 |
+
st.session_state.is_selected = False
|
| 474 |
+
st.rerun()
|
| 475 |
+
|
| 476 |
+
if resume_file:
|
| 477 |
+
st.subheader("Uploaded Resume")
|
| 478 |
+
col1, col2 = st.columns([4, 1])
|
| 479 |
+
|
| 480 |
+
with col1:
|
| 481 |
+
import tempfile, os
|
| 482 |
+
with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf') as tmp_file:
|
| 483 |
+
tmp_file.write(resume_file.read())
|
| 484 |
+
tmp_file_path = tmp_file.name
|
| 485 |
+
resume_file.seek(0)
|
| 486 |
+
try: pdf_viewer(tmp_file_path)
|
| 487 |
+
finally: os.unlink(tmp_file_path)
|
| 488 |
+
|
| 489 |
+
with col2:
|
| 490 |
+
st.download_button(label="π₯ Download", data=resume_file, file_name=resume_file.name, mime="application/pdf")
|
| 491 |
+
# Process the resume text
|
| 492 |
+
if not st.session_state.resume_text:
|
| 493 |
+
with st.spinner("Processing your resume..."):
|
| 494 |
+
resume_text = extract_text_from_pdf(resume_file)
|
| 495 |
+
if resume_text:
|
| 496 |
+
st.session_state.resume_text = resume_text
|
| 497 |
+
st.success("Resume processed successfully!")
|
| 498 |
+
|
| 499 |
+
# Create a resume analyzer to extract email
|
| 500 |
+
resume_analyzer = create_resume_analyzer()
|
| 501 |
+
if resume_analyzer:
|
| 502 |
+
email_from_resume = extract_email_from_resume(resume_text, resume_analyzer)
|
| 503 |
+
if email_from_resume:
|
| 504 |
+
st.session_state.candidate_email = email_from_resume
|
| 505 |
+
st.success(f"Email ID extracted: {email_from_resume}")
|
| 506 |
+
else:
|
| 507 |
+
st.warning("Could not extract an email ID from the resume.")
|
| 508 |
+
else:
|
| 509 |
+
st.error("Could not process the PDF. Please try again.")
|
| 510 |
+
|
| 511 |
+
|
| 512 |
+
# Email input with session state
|
| 513 |
+
email = st.text_input(
|
| 514 |
+
"Candidate's email address",
|
| 515 |
+
value=st.session_state.candidate_email,
|
| 516 |
+
key="email_input"
|
| 517 |
+
)
|
| 518 |
+
st.session_state.candidate_email = email
|
| 519 |
+
|
| 520 |
+
# Analysis and next steps
|
| 521 |
+
if st.session_state.resume_text and email and not st.session_state.analysis_complete:
|
| 522 |
+
if st.button("Analyze Resume"):
|
| 523 |
+
with st.spinner("Analyzing your resume..."):
|
| 524 |
+
resume_analyzer = create_resume_analyzer()
|
| 525 |
+
email_agent = create_email_agent() # Create email agent here
|
| 526 |
+
|
| 527 |
+
if resume_analyzer and email_agent:
|
| 528 |
+
print("DEBUG: Starting resume analysis")
|
| 529 |
+
is_selected, feedback, ats_score = analyze_resume_with_score(
|
| 530 |
+
st.session_state.resume_text,
|
| 531 |
+
role,
|
| 532 |
+
resume_analyzer
|
| 533 |
+
)
|
| 534 |
+
print(f"DEBUG: Analysis complete - Selected: {is_selected}, Feedback: {feedback}")
|
| 535 |
+
|
| 536 |
+
# Display resume text
|
| 537 |
+
st.subheader("Resume Contents")
|
| 538 |
+
st.text_area("Extracted Resume Text", st.session_state.resume_text, height=300, disabled=True)
|
| 539 |
+
|
| 540 |
+
# Display ATS score
|
| 541 |
+
st.subheader("ATS Score")
|
| 542 |
+
st.metric(label="ATS Match Score", value=f"{ats_score}%", help="Percentage match with the job requirements")
|
| 543 |
+
|
| 544 |
+
if is_selected:
|
| 545 |
+
st.success("Great! Candiate's skills match our requirements.")
|
| 546 |
+
st.session_state.analysis_complete = True
|
| 547 |
+
st.session_state.is_selected = True
|
| 548 |
+
st.rerun()
|
| 549 |
+
else:
|
| 550 |
+
st.warning("Unfortunately, your skills don't match our requirements.")
|
| 551 |
+
st.write(f"Feedback: {feedback}")
|
| 552 |
+
|
| 553 |
+
# Send rejection email
|
| 554 |
+
with st.spinner("Sending feedback email..."):
|
| 555 |
+
try:
|
| 556 |
+
send_rejection_email(
|
| 557 |
+
email_agent=email_agent,
|
| 558 |
+
to_email=email,
|
| 559 |
+
role=role,
|
| 560 |
+
feedback=feedback
|
| 561 |
+
)
|
| 562 |
+
st.info("We've sent you an email with detailed feedback.")
|
| 563 |
+
except Exception as e:
|
| 564 |
+
logger.error(f"Error sending rejection email: {e}")
|
| 565 |
+
st.error("Could not send feedback email. Please try again.")
|
| 566 |
+
|
| 567 |
+
if st.session_state.get('analysis_complete') and st.session_state.get('is_selected', False):
|
| 568 |
+
st.success("Congratulations! Your skills match our requirements.")
|
| 569 |
+
st.info("Click 'Proceed with Application' to continue with the interview process.")
|
| 570 |
+
|
| 571 |
+
if st.button("Proceed with Application", key="proceed_button"):
|
| 572 |
+
print("DEBUG: Proceed button clicked") # Debug
|
| 573 |
+
with st.spinner("π Processing your application..."):
|
| 574 |
+
try:
|
| 575 |
+
print("DEBUG: Creating email agent") # Debug
|
| 576 |
+
email_agent = create_email_agent()
|
| 577 |
+
print(f"DEBUG: Email agent created: {email_agent}") # Debug
|
| 578 |
+
|
| 579 |
+
print("DEBUG: Creating scheduler agent") # Debug
|
| 580 |
+
scheduler_agent = create_scheduler_agent()
|
| 581 |
+
print(f"DEBUG: Scheduler agent created: {scheduler_agent}") # Debug
|
| 582 |
+
|
| 583 |
+
# 3. Send selection email
|
| 584 |
+
with st.status("π§ Sending confirmation email...", expanded=True) as status:
|
| 585 |
+
print(f"DEBUG: Attempting to send email to {st.session_state.candidate_email}") # Debug
|
| 586 |
+
send_selection_email(
|
| 587 |
+
email_agent,
|
| 588 |
+
st.session_state.candidate_email,
|
| 589 |
+
role
|
| 590 |
+
)
|
| 591 |
+
print("DEBUG: Email sent successfully") # Debug
|
| 592 |
+
status.update(label="β
Confirmation email sent!")
|
| 593 |
+
|
| 594 |
+
# 4. Schedule interview
|
| 595 |
+
with st.status("π
Scheduling interview...", expanded=True) as status:
|
| 596 |
+
print("DEBUG: Attempting to schedule interview") # Debug
|
| 597 |
+
schedule_interview(
|
| 598 |
+
scheduler_agent,
|
| 599 |
+
st.session_state.candidate_email,
|
| 600 |
+
email_agent,
|
| 601 |
+
role
|
| 602 |
+
)
|
| 603 |
+
print("DEBUG: Interview scheduled successfully") # Debug
|
| 604 |
+
status.update(label="β
Interview scheduled!")
|
| 605 |
+
|
| 606 |
+
print("DEBUG: All processes completed successfully") # Debug
|
| 607 |
+
st.success("""
|
| 608 |
+
π Application Successfully Processed!
|
| 609 |
+
|
| 610 |
+
Tasks Done:
|
| 611 |
+
1. Selection confirmation β
|
| 612 |
+
2. Interview details with Zoom link π
|
| 613 |
+
|
| 614 |
+
Next steps:
|
| 615 |
+
1. Join the interview 5 minutes early
|
| 616 |
+
2. Evaluate the candiate
|
| 617 |
+
3. Report the result to the HR
|
| 618 |
+
""")
|
| 619 |
+
|
| 620 |
+
except Exception as e:
|
| 621 |
+
print(f"DEBUG: Error occurred: {str(e)}") # Debug
|
| 622 |
+
print(f"DEBUG: Error type: {type(e)}") # Debug
|
| 623 |
+
import traceback
|
| 624 |
+
print(f"DEBUG: Full traceback: {traceback.format_exc()}") # Debug
|
| 625 |
+
st.error(f"An error occurred: {str(e)}")
|
| 626 |
+
st.error("Please try again or contact support.")
|
| 627 |
+
|
| 628 |
+
# Reset button
|
| 629 |
+
if st.sidebar.button("Reset Application"):
|
| 630 |
+
for key in st.session_state.keys():
|
| 631 |
+
if key != 'openai_api_key':
|
| 632 |
+
del st.session_state[key]
|
| 633 |
+
st.rerun()
|
| 634 |
+
|
| 635 |
+
if __name__ == "__main__":
|
| 636 |
+
main()
|