Add AI Career Advisor application
Browse files- .gitignore +65 -0
- README.md +22 -8
- app.py +823 -0
- modal_agent_gemini.py +170 -0
- requirements.txt +4 -0
.gitignore
ADDED
@@ -0,0 +1,65 @@
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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env/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual Environment
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venv/
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ENV/
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env/
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.venv/
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# IDE specific files
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.idea/
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.vscode/
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*.swp
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*.swo
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# Local development settings
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.env
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.env.local
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.env.development.local
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.env.test.local
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.env.production.local
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# Logs
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*.log
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npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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# Temporary files
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*.tmp
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*.bak
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*.swp
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*~
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# OS specific
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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# Project specific
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*.db
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*.sqlite3
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README.md
CHANGED
@@ -1,14 +1,28 @@
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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license: mit
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short_description: '"An interactive AI Career Advisor powered by Gemini '
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---
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-
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---
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title: AI Career Advisor
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emoji: π―
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 3.50.2
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app_file: app.py
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pinned: false
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---
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# AI Career Advisor
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Get personalized career advice, skill-gap analysis, and a learning roadmap from an AI agent powered by Gemini. This application uses Gradio for a user-friendly interface and Modal for serverless AI processing.
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## Features
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- Personalized career recommendations based on your profile
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- Skill assessment with visual skill meters
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- Recommended roles with match scores
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- Customized learning path
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- Project portfolio ideas
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- Relevant certification recommendations
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## How to use
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1. Enter your bio or career goals
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2. Select your primary area of interest
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3. Optionally upload your resume (PDF or DOCX)
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4. Get comprehensive career guidance
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app.py
ADDED
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|
1 |
+
import gradio as gr
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2 |
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import requests
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3 |
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import base64
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4 |
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import time
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5 |
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import re
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6 |
+
|
7 |
+
# --- IMPORTANT ---
|
8 |
+
# Paste the web endpoint URL you got from deploying the Modal app here.
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9 |
+
MODAL_WEB_ENDPOINT_URL = "https://aryanjathar0723--career-advisor-agent-gemini-web-endpoint.modal.run"
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10 |
+
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11 |
+
if MODAL_WEB_ENDPOINT_URL.startswith("https://your-org"):
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12 |
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print("="*80)
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13 |
+
print("!!! WARNING: You have not replaced the placeholder MODAL_WEB_ENDPOINT_URL. !!!")
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14 |
+
print("!!! Please deploy the modal_agent.py script and paste the URL in app.py. !!!")
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15 |
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print("="*80)
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16 |
+
|
17 |
+
def extract_sections(markdown_text):
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18 |
+
"""Extract different sections from the markdown response"""
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19 |
+
sections = {
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20 |
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'summary': '',
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21 |
+
'roles': '',
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22 |
+
'skills': '',
|
23 |
+
'learning': '',
|
24 |
+
'projects': '',
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25 |
+
'certifications': ''
|
26 |
+
}
|
27 |
+
|
28 |
+
current_section = None
|
29 |
+
current_content = []
|
30 |
+
|
31 |
+
for line in markdown_text.split('\n'):
|
32 |
+
if line.startswith('### π«'):
|
33 |
+
current_section = 'summary'
|
34 |
+
current_content = []
|
35 |
+
elif line.startswith('### π―'):
|
36 |
+
current_section = 'roles'
|
37 |
+
current_content = []
|
38 |
+
elif line.startswith('### π'):
|
39 |
+
current_section = 'skills'
|
40 |
+
current_content = []
|
41 |
+
elif line.startswith('### π'):
|
42 |
+
current_section = 'learning'
|
43 |
+
current_content = []
|
44 |
+
elif line.startswith('### π‘'):
|
45 |
+
current_section = 'projects'
|
46 |
+
current_content = []
|
47 |
+
elif line.startswith('### π'):
|
48 |
+
current_section = 'certifications'
|
49 |
+
current_content = []
|
50 |
+
# Skip roadmap section
|
51 |
+
elif line.startswith('### πΊοΈ'):
|
52 |
+
current_section = None
|
53 |
+
current_content = []
|
54 |
+
elif current_section:
|
55 |
+
current_content.append(line)
|
56 |
+
sections[current_section] = '\n'.join(current_content)
|
57 |
+
|
58 |
+
return sections
|
59 |
+
|
60 |
+
def format_skill_bars(text):
|
61 |
+
"""Convert skill meter text to HTML progress bars"""
|
62 |
+
formatted = []
|
63 |
+
in_skill_meter = False
|
64 |
+
for line in text.split('\n'):
|
65 |
+
if '```skill-meter' in line:
|
66 |
+
in_skill_meter = True
|
67 |
+
formatted.append('<div class="skill-bars">')
|
68 |
+
continue
|
69 |
+
elif '```' in line and in_skill_meter:
|
70 |
+
in_skill_meter = False
|
71 |
+
formatted.append('</div>')
|
72 |
+
continue
|
73 |
+
|
74 |
+
if in_skill_meter and '[' in line and ']' in line:
|
75 |
+
try:
|
76 |
+
skill_name, rest = line.split('[')
|
77 |
+
percentage = re.search(r'(\d+)%', rest)
|
78 |
+
if percentage:
|
79 |
+
pct = int(percentage.group(1))
|
80 |
+
formatted.append(f'''
|
81 |
+
<div class="skill-bar">
|
82 |
+
<div class="skill-name">{skill_name.strip()}</div>
|
83 |
+
<div class="progress-bar">
|
84 |
+
<div class="progress" style="width: {pct}%; background-color: #3498db;"></div>
|
85 |
+
</div>
|
86 |
+
<div class="percentage">{pct}%</div>
|
87 |
+
</div>
|
88 |
+
''')
|
89 |
+
except:
|
90 |
+
formatted.append(line)
|
91 |
+
else:
|
92 |
+
formatted.append(line)
|
93 |
+
|
94 |
+
return '\n'.join(formatted)
|
95 |
+
|
96 |
+
def format_project_cards(text):
|
97 |
+
"""Convert project-card text to HTML cards"""
|
98 |
+
formatted = []
|
99 |
+
in_project_card = False
|
100 |
+
current_card = {}
|
101 |
+
|
102 |
+
for line in text.split('\n'):
|
103 |
+
if '```project-card' in line:
|
104 |
+
in_project_card = True
|
105 |
+
current_card = {}
|
106 |
+
continue
|
107 |
+
elif '```' in line and in_project_card:
|
108 |
+
in_project_card = False
|
109 |
+
if current_card:
|
110 |
+
card_html = f'''
|
111 |
+
<div class="project-card">
|
112 |
+
<div>{current_card.get('project', 'Project')}</div>
|
113 |
+
<div><strong>Difficulty:</strong> {current_card.get('difficulty', 'βββ')}</div>
|
114 |
+
<div><strong>Duration:</strong> {current_card.get('duration', '2 weeks')}</div>
|
115 |
+
<div><strong>Skills:</strong> {current_card.get('skills', 'Various skills')}</div>
|
116 |
+
<div><strong>Description:</strong> {current_card.get('description', 'Project description')}</div>
|
117 |
+
</div>
|
118 |
+
'''
|
119 |
+
formatted.append(card_html)
|
120 |
+
continue
|
121 |
+
|
122 |
+
if in_project_card:
|
123 |
+
line = line.strip()
|
124 |
+
if line.startswith('Project:'):
|
125 |
+
current_card['project'] = line[len('Project:'):].strip()
|
126 |
+
elif line.startswith('Difficulty:'):
|
127 |
+
current_card['difficulty'] = line[len('Difficulty:'):].strip()
|
128 |
+
elif line.startswith('Duration:'):
|
129 |
+
current_card['duration'] = line[len('Duration:'):].strip()
|
130 |
+
elif line.startswith('Skills:'):
|
131 |
+
current_card['skills'] = line[len('Skills:'):].strip()
|
132 |
+
elif line.startswith('Description:'):
|
133 |
+
current_card['description'] = line[len('Description:'):].strip()
|
134 |
+
else:
|
135 |
+
formatted.append(line)
|
136 |
+
|
137 |
+
return '\n'.join(formatted)
|
138 |
+
|
139 |
+
def format_roles(content):
|
140 |
+
"""Format roles as cards"""
|
141 |
+
formatted_content = []
|
142 |
+
current_role = []
|
143 |
+
in_role = False
|
144 |
+
|
145 |
+
for line in content.split('\n'):
|
146 |
+
if line.strip().startswith('1.') or line.strip().startswith('2.') or line.strip().startswith('3.'):
|
147 |
+
if in_role:
|
148 |
+
formatted_content.append(format_role_card(current_role))
|
149 |
+
in_role = True
|
150 |
+
current_role = [line]
|
151 |
+
elif in_role and line.strip():
|
152 |
+
current_role.append(line)
|
153 |
+
|
154 |
+
if current_role:
|
155 |
+
formatted_content.append(format_role_card(current_role))
|
156 |
+
|
157 |
+
return '\n'.join(formatted_content)
|
158 |
+
|
159 |
+
def format_role_card(role_lines):
|
160 |
+
"""Helper function to format role card"""
|
161 |
+
role_title = role_lines[0].strip()
|
162 |
+
# Extract role name and match score
|
163 |
+
role_name = ""
|
164 |
+
match_score = ""
|
165 |
+
if "**" in role_title:
|
166 |
+
parts = role_title.split("**")
|
167 |
+
if len(parts) > 1:
|
168 |
+
role_name = parts[1].strip()
|
169 |
+
if "(Match Score:" in role_title:
|
170 |
+
match_parts = role_title.split("(Match Score:")
|
171 |
+
if len(match_parts) > 1:
|
172 |
+
match_score = match_parts[1].split(")")[0].strip()
|
173 |
+
|
174 |
+
card_html = f'''
|
175 |
+
<div class="role-card">
|
176 |
+
<div class="role-title">{role_name} (Match Score: {match_score})</div>
|
177 |
+
'''
|
178 |
+
|
179 |
+
for line in role_lines[1:]:
|
180 |
+
line = line.strip()
|
181 |
+
if line.startswith('-'):
|
182 |
+
detail = line[1:].strip()
|
183 |
+
if "Salary Range:" in detail:
|
184 |
+
card_html += f'<div class="role-detail"><strong>Salary Range:</strong> {detail.split("Salary Range:")[1].strip()}</div>'
|
185 |
+
elif "Key Requirements:" in detail:
|
186 |
+
card_html += f'<div class="role-detail"><strong>Key Requirements:</strong> {detail.split("Key Requirements:")[1].strip()}</div>'
|
187 |
+
elif "Why It Fits:" in detail:
|
188 |
+
card_html += f'<div class="role-detail"><strong>Why It Fits:</strong> {detail.split("Why It Fits:")[1].strip()}</div>'
|
189 |
+
else:
|
190 |
+
card_html += f'<div class="role-detail">{detail}</div>'
|
191 |
+
|
192 |
+
card_html += '</div>'
|
193 |
+
return card_html
|
194 |
+
|
195 |
+
def format_certification_card(cert_lines):
|
196 |
+
"""Helper function to format certification card"""
|
197 |
+
cert_name = cert_lines[0].replace('*', '').strip()
|
198 |
+
card_html = f'''
|
199 |
+
<div class="cert-card">
|
200 |
+
<div class="cert-name">{cert_name}</div>
|
201 |
+
'''
|
202 |
+
|
203 |
+
for line in cert_lines[1:]:
|
204 |
+
if line.strip():
|
205 |
+
line = line.strip().strip('*').strip('-').strip()
|
206 |
+
if "difficulty level:" in line.lower():
|
207 |
+
stars = line.split(":", 1)[1].strip() if ":" in line else ""
|
208 |
+
card_html += f'<div class="cert-detail">- Difficulty Level: {stars}</div>'
|
209 |
+
elif "time commitment:" in line.lower():
|
210 |
+
time = line.split(":", 1)[1].strip() if ":" in line else ""
|
211 |
+
card_html += f'<div class="cert-detail">- Time Commitment: {time}</div>'
|
212 |
+
elif "cost range:" in line.lower():
|
213 |
+
cost = line.split(":", 1)[1].strip() if ":" in line else ""
|
214 |
+
card_html += f'<div class="cert-detail">- Cost Range: {cost}</div>'
|
215 |
+
else:
|
216 |
+
card_html += f'<div class="cert-detail">β’ {line}</div>'
|
217 |
+
|
218 |
+
card_html += '</div>'
|
219 |
+
return card_html
|
220 |
+
|
221 |
+
def parse_certifications(content):
|
222 |
+
"""Parse certification content to group details by certification"""
|
223 |
+
lines = content.split('\n')
|
224 |
+
cert_groups = []
|
225 |
+
current_cert = []
|
226 |
+
|
227 |
+
# Check if content follows the format from the screenshot with dashes
|
228 |
+
has_cert_headers = any(line.strip().startswith('- ') for line in lines)
|
229 |
+
|
230 |
+
if has_cert_headers:
|
231 |
+
cert_name = ""
|
232 |
+
cert_details = []
|
233 |
+
|
234 |
+
for i, line in enumerate(lines):
|
235 |
+
line = line.strip()
|
236 |
+
if not line:
|
237 |
+
continue
|
238 |
+
|
239 |
+
if line.startswith('- ') and not any(detail in line.lower() for detail in ['difficulty level', 'time commitment', 'cost range']):
|
240 |
+
# This is a new certificate name
|
241 |
+
if cert_name:
|
242 |
+
# Save the previous certificate
|
243 |
+
cert_groups.append([f"* {cert_name}"] + cert_details)
|
244 |
+
|
245 |
+
cert_name = line[2:].strip()
|
246 |
+
cert_details = []
|
247 |
+
elif line.startswith('- '):
|
248 |
+
# This is a detail for the current certificate
|
249 |
+
cert_details.append(line)
|
250 |
+
|
251 |
+
# Add the last certificate
|
252 |
+
if cert_name:
|
253 |
+
cert_groups.append([f"* {cert_name}"] + cert_details)
|
254 |
+
else:
|
255 |
+
# Fall back to original parsing
|
256 |
+
in_cert = False
|
257 |
+
for line in lines:
|
258 |
+
if line.strip().startswith('*'):
|
259 |
+
if in_cert and current_cert:
|
260 |
+
cert_groups.append(current_cert)
|
261 |
+
in_cert = True
|
262 |
+
current_cert = [line]
|
263 |
+
elif in_cert and line.strip():
|
264 |
+
current_cert.append(line)
|
265 |
+
|
266 |
+
if current_cert:
|
267 |
+
cert_groups.append(current_cert)
|
268 |
+
|
269 |
+
return cert_groups
|
270 |
+
|
271 |
+
def format_sections(sections):
|
272 |
+
"""Format all sections with proper styling"""
|
273 |
+
css = """
|
274 |
+
<style>
|
275 |
+
:root {
|
276 |
+
--bg-color: #1a1b26;
|
277 |
+
--text-color: #a9b1d6;
|
278 |
+
--heading-color: #7aa2f7;
|
279 |
+
--card-bg: #24283b;
|
280 |
+
--card-border: #414868;
|
281 |
+
--highlight: #bb9af7;
|
282 |
+
--progress-bg: #414868;
|
283 |
+
--progress-fill: linear-gradient(90deg, #7aa2f7, #bb9af7);
|
284 |
+
--card-hover: #2f3549;
|
285 |
+
}
|
286 |
+
|
287 |
+
body {
|
288 |
+
font-size: 16px;
|
289 |
+
line-height: 1.6;
|
290 |
+
background-color: var(--bg-color);
|
291 |
+
color: var(--text-color);
|
292 |
+
}
|
293 |
+
|
294 |
+
.skill-bars {
|
295 |
+
font-family: monospace;
|
296 |
+
margin: 25px 0;
|
297 |
+
font-size: 1.1em;
|
298 |
+
background-color: var(--card-bg);
|
299 |
+
padding: 20px;
|
300 |
+
border-radius: 12px;
|
301 |
+
border: 1px solid var(--card-border);
|
302 |
+
}
|
303 |
+
|
304 |
+
.skill-bar {
|
305 |
+
display: flex;
|
306 |
+
align-items: center;
|
307 |
+
margin: 15px 0;
|
308 |
+
gap: 15px;
|
309 |
+
}
|
310 |
+
|
311 |
+
.skill-name {
|
312 |
+
width: 180px;
|
313 |
+
text-align: right;
|
314 |
+
font-size: 1.1em;
|
315 |
+
color: var(--heading-color);
|
316 |
+
}
|
317 |
+
|
318 |
+
.progress-bar {
|
319 |
+
flex-grow: 1;
|
320 |
+
height: 25px;
|
321 |
+
background-color: var(--progress-bg);
|
322 |
+
border-radius: 12px;
|
323 |
+
overflow: hidden;
|
324 |
+
box-shadow: inset 0 1px 3px rgba(0,0,0,0.2);
|
325 |
+
}
|
326 |
+
|
327 |
+
.progress {
|
328 |
+
height: 100%;
|
329 |
+
border-radius: 12px;
|
330 |
+
transition: width 0.5s ease-in-out;
|
331 |
+
background: var(--progress-fill);
|
332 |
+
}
|
333 |
+
|
334 |
+
.percentage {
|
335 |
+
width: 60px;
|
336 |
+
font-size: 1.1em;
|
337 |
+
font-weight: 500;
|
338 |
+
color: var(--text-color);
|
339 |
+
}
|
340 |
+
|
341 |
+
.project-card {
|
342 |
+
border: 1px solid var(--card-border);
|
343 |
+
padding: 25px;
|
344 |
+
margin: 20px 0;
|
345 |
+
border-radius: 12px;
|
346 |
+
background-color: var(--card-bg);
|
347 |
+
box-shadow: 0 4px 6px rgba(0,0,0,0.2);
|
348 |
+
font-size: 1.1em;
|
349 |
+
transition: transform 0.2s ease, box-shadow 0.2s ease;
|
350 |
+
}
|
351 |
+
|
352 |
+
.project-card:hover {
|
353 |
+
transform: translateY(-2px);
|
354 |
+
box-shadow: 0 6px 12px rgba(0,0,0,0.3);
|
355 |
+
}
|
356 |
+
|
357 |
+
.project-card div {
|
358 |
+
margin: 10px 0;
|
359 |
+
line-height: 1.6;
|
360 |
+
}
|
361 |
+
|
362 |
+
.project-card strong {
|
363 |
+
color: var(--heading-color);
|
364 |
+
margin-right: 10px;
|
365 |
+
font-weight: 600;
|
366 |
+
}
|
367 |
+
|
368 |
+
.project-card div:first-child {
|
369 |
+
font-size: 1.2em;
|
370 |
+
color: var(--highlight);
|
371 |
+
margin-bottom: 15px;
|
372 |
+
font-weight: 500;
|
373 |
+
}
|
374 |
+
|
375 |
+
h3 {
|
376 |
+
font-size: 1.5em;
|
377 |
+
margin: 1.5em 0 1em;
|
378 |
+
color: var(--heading-color);
|
379 |
+
border-bottom: 2px solid var(--card-border);
|
380 |
+
padding-bottom: 0.5em;
|
381 |
+
}
|
382 |
+
|
383 |
+
p {
|
384 |
+
font-size: 1.1em;
|
385 |
+
line-height: 1.6;
|
386 |
+
color: var(--text-color);
|
387 |
+
margin: 1em 0;
|
388 |
+
}
|
389 |
+
|
390 |
+
ul, ol {
|
391 |
+
font-size: 1.1em;
|
392 |
+
line-height: 1.6;
|
393 |
+
padding-left: 1.5em;
|
394 |
+
margin: 1em 0;
|
395 |
+
}
|
396 |
+
|
397 |
+
li {
|
398 |
+
margin: 0.8em 0;
|
399 |
+
padding-left: 0.5em;
|
400 |
+
}
|
401 |
+
|
402 |
+
strong {
|
403 |
+
color: var(--highlight);
|
404 |
+
}
|
405 |
+
|
406 |
+
.role-card {
|
407 |
+
background-color: var(--card-bg);
|
408 |
+
border: 1px solid var(--card-border);
|
409 |
+
border-radius: 12px;
|
410 |
+
padding: 20px;
|
411 |
+
margin: 15px 0;
|
412 |
+
}
|
413 |
+
|
414 |
+
.role-title {
|
415 |
+
color: var(--highlight);
|
416 |
+
font-size: 1.2em;
|
417 |
+
margin-bottom: 10px;
|
418 |
+
}
|
419 |
+
|
420 |
+
.role-detail {
|
421 |
+
margin: 8px 0;
|
422 |
+
color: var(--text-color);
|
423 |
+
}
|
424 |
+
|
425 |
+
.bullet-point {
|
426 |
+
margin: 10px 0;
|
427 |
+
padding-left: 20px;
|
428 |
+
position: relative;
|
429 |
+
color: var(--text-color);
|
430 |
+
}
|
431 |
+
|
432 |
+
.bullet-point:before {
|
433 |
+
content: "β’";
|
434 |
+
color: var(--highlight);
|
435 |
+
position: absolute;
|
436 |
+
left: 0;
|
437 |
+
font-size: 1.2em;
|
438 |
+
}
|
439 |
+
|
440 |
+
.content-line {
|
441 |
+
margin: 10px 0;
|
442 |
+
padding: 5px 0;
|
443 |
+
color: var(--text-color);
|
444 |
+
}
|
445 |
+
|
446 |
+
.content-line strong {
|
447 |
+
color: var(--highlight);
|
448 |
+
font-weight: 600;
|
449 |
+
}
|
450 |
+
|
451 |
+
.expandable-card {
|
452 |
+
border: 1px solid var(--card-border);
|
453 |
+
border-radius: 12px;
|
454 |
+
background-color: var(--card-bg);
|
455 |
+
margin: 15px 0;
|
456 |
+
overflow: hidden;
|
457 |
+
transition: all 0.3s ease;
|
458 |
+
}
|
459 |
+
|
460 |
+
.expandable-card .card-header {
|
461 |
+
padding: 15px 20px;
|
462 |
+
cursor: pointer;
|
463 |
+
display: flex;
|
464 |
+
justify-content: space-between;
|
465 |
+
align-items: center;
|
466 |
+
border-bottom: 1px solid var(--card-border);
|
467 |
+
}
|
468 |
+
|
469 |
+
.expandable-card .card-header:hover {
|
470 |
+
background-color: var(--card-hover);
|
471 |
+
}
|
472 |
+
|
473 |
+
.expandable-card .card-title {
|
474 |
+
color: var(--highlight);
|
475 |
+
font-size: 1.2em;
|
476 |
+
font-weight: 500;
|
477 |
+
}
|
478 |
+
|
479 |
+
.expandable-card .card-content {
|
480 |
+
padding: 20px;
|
481 |
+
display: none;
|
482 |
+
}
|
483 |
+
|
484 |
+
.expandable-card.expanded .card-content {
|
485 |
+
display: block;
|
486 |
+
}
|
487 |
+
|
488 |
+
.learning-card {
|
489 |
+
border: 1px solid var(--card-border);
|
490 |
+
border-radius: 12px;
|
491 |
+
background-color: var(--card-bg);
|
492 |
+
padding: 20px;
|
493 |
+
margin: 15px 0;
|
494 |
+
transition: transform 0.2s ease, box-shadow 0.2s ease;
|
495 |
+
}
|
496 |
+
|
497 |
+
.learning-card:hover {
|
498 |
+
transform: translateY(-2px);
|
499 |
+
box-shadow: 0 6px 12px rgba(0,0,0,0.3);
|
500 |
+
}
|
501 |
+
|
502 |
+
.learning-card .month-range {
|
503 |
+
color: var(--highlight);
|
504 |
+
font-size: 1.2em;
|
505 |
+
margin-bottom: 10px;
|
506 |
+
font-weight: 500;
|
507 |
+
}
|
508 |
+
|
509 |
+
.learning-card .course-name {
|
510 |
+
color: var(--heading-color);
|
511 |
+
margin: 10px 0;
|
512 |
+
}
|
513 |
+
|
514 |
+
.learning-card .project-name {
|
515 |
+
color: var(--text-color);
|
516 |
+
margin: 10px 0;
|
517 |
+
}
|
518 |
+
|
519 |
+
.learning-card .outcome {
|
520 |
+
color: var(--text-color);
|
521 |
+
font-style: italic;
|
522 |
+
margin-top: 10px;
|
523 |
+
padding-top: 10px;
|
524 |
+
border-top: 1px solid var(--card-border);
|
525 |
+
}
|
526 |
+
|
527 |
+
.cert-card {
|
528 |
+
border: 1px solid var(--card-border);
|
529 |
+
border-radius: 12px;
|
530 |
+
background-color: var(--card-bg);
|
531 |
+
padding: 20px;
|
532 |
+
margin: 15px 0;
|
533 |
+
transition: transform 0.2s ease, box-shadow 0.2s ease;
|
534 |
+
}
|
535 |
+
|
536 |
+
.cert-card:hover {
|
537 |
+
transform: translateY(-2px);
|
538 |
+
box-shadow: 0 6px 12px rgba(0,0,0,0.3);
|
539 |
+
}
|
540 |
+
|
541 |
+
.cert-card .cert-name {
|
542 |
+
color: var(--highlight);
|
543 |
+
font-size: 1.2em;
|
544 |
+
margin-bottom: 10px;
|
545 |
+
font-weight: 500;
|
546 |
+
}
|
547 |
+
|
548 |
+
.cert-card .cert-detail {
|
549 |
+
color: var(--text-color);
|
550 |
+
margin: 8px 0;
|
551 |
+
}
|
552 |
+
</style>
|
553 |
+
|
554 |
+
<script>
|
555 |
+
document.addEventListener('DOMContentLoaded', function() {
|
556 |
+
document.querySelectorAll('.expandable-card .card-header').forEach(header => {
|
557 |
+
header.addEventListener('click', () => {
|
558 |
+
const card = header.parentElement;
|
559 |
+
card.classList.toggle('expanded');
|
560 |
+
});
|
561 |
+
});
|
562 |
+
});
|
563 |
+
</script>
|
564 |
+
"""
|
565 |
+
|
566 |
+
formatted = {}
|
567 |
+
for key, content in sections.items():
|
568 |
+
if key == 'skills':
|
569 |
+
formatted[key] = css + format_skill_bars(content)
|
570 |
+
elif key == 'summary':
|
571 |
+
# Format summary as an expandable card
|
572 |
+
lines = content.split('\n')
|
573 |
+
formatted_content = ['<div class="expandable-card expanded">']
|
574 |
+
formatted_content.append('<div class="card-header">')
|
575 |
+
formatted_content.append('<div class="card-title">Quick Summary</div>')
|
576 |
+
formatted_content.append('<div class="expand-icon">βΌ</div>')
|
577 |
+
formatted_content.append('</div>')
|
578 |
+
formatted_content.append('<div class="card-content">')
|
579 |
+
for line in lines:
|
580 |
+
if line.strip():
|
581 |
+
formatted_content.append(f'<div class="content-line">{line}</div>')
|
582 |
+
formatted_content.append('</div>')
|
583 |
+
formatted_content.append('</div>')
|
584 |
+
formatted[key] = '\n'.join(formatted_content)
|
585 |
+
elif key == 'roles':
|
586 |
+
# Format roles as cards
|
587 |
+
formatted[key] = css + format_roles(content)
|
588 |
+
elif key == 'projects':
|
589 |
+
# Format projects as cards
|
590 |
+
formatted[key] = css + format_project_cards(content)
|
591 |
+
elif key == 'learning':
|
592 |
+
# Format learning path as cards
|
593 |
+
formatted_content = []
|
594 |
+
current_month = []
|
595 |
+
in_month = False
|
596 |
+
|
597 |
+
for line in content.split('\n'):
|
598 |
+
if line.strip().startswith('1.') or line.strip().startswith('2.') or line.strip().startswith('3.'):
|
599 |
+
if in_month:
|
600 |
+
card_content = '\n'.join(current_month)
|
601 |
+
month_range = current_month[0].split(':')[0].replace('*', '').strip()
|
602 |
+
card_html = f'''
|
603 |
+
<div class="learning-card">
|
604 |
+
<div class="month-range">{month_range}</div>
|
605 |
+
{format_learning_content(card_content)}
|
606 |
+
</div>
|
607 |
+
'''
|
608 |
+
formatted_content.append(card_html)
|
609 |
+
in_month = True
|
610 |
+
current_month = [line]
|
611 |
+
elif in_month:
|
612 |
+
current_month.append(line)
|
613 |
+
|
614 |
+
if current_month:
|
615 |
+
card_content = '\n'.join(current_month)
|
616 |
+
month_range = current_month[0].split(':')[0].replace('*', '').strip()
|
617 |
+
card_html = f'''
|
618 |
+
<div class="learning-card">
|
619 |
+
<div class="month-range">{month_range}</div>
|
620 |
+
{format_learning_content(card_content)}
|
621 |
+
</div>
|
622 |
+
'''
|
623 |
+
formatted_content.append(card_html)
|
624 |
+
|
625 |
+
formatted[key] = css + '\n'.join(formatted_content)
|
626 |
+
elif key == 'certifications':
|
627 |
+
# Format certifications as cards
|
628 |
+
formatted_content = []
|
629 |
+
|
630 |
+
# Parse certifications into groups
|
631 |
+
cert_groups = parse_certifications(content)
|
632 |
+
|
633 |
+
for cert_group in cert_groups:
|
634 |
+
formatted_content.append(format_certification_card(cert_group))
|
635 |
+
|
636 |
+
if not formatted_content:
|
637 |
+
# If no certifications were found, add a placeholder
|
638 |
+
formatted_content.append('<div class="cert-card"><div class="cert-name">No certifications found</div></div>')
|
639 |
+
|
640 |
+
formatted[key] = css + '\n'.join(formatted_content)
|
641 |
+
else:
|
642 |
+
formatted[key] = content
|
643 |
+
|
644 |
+
return formatted
|
645 |
+
|
646 |
+
def format_learning_content(content):
|
647 |
+
"""Helper function to format learning card content"""
|
648 |
+
formatted = []
|
649 |
+
for line in content.split('\n'):
|
650 |
+
line = line.strip()
|
651 |
+
if 'Course:' in line:
|
652 |
+
course = line.split('Course:')[1].strip().strip('"')
|
653 |
+
formatted.append(f'<div class="course-name">π Course: {course}</div>')
|
654 |
+
elif 'Project:' in line:
|
655 |
+
project = line.split('Project:')[1].strip().strip('"')
|
656 |
+
formatted.append(f'<div class="project-name">π» Project: {project}</div>')
|
657 |
+
elif 'Expected Outcome:' in line:
|
658 |
+
outcome = line.split('Expected Outcome:')[1].strip().strip('"')
|
659 |
+
formatted.append(f'<div class="outcome">π― Expected Outcome: {outcome}</div>')
|
660 |
+
return '\n'.join(formatted)
|
661 |
+
|
662 |
+
def get_advice_from_agent(bio, interest, resume_file):
|
663 |
+
"""
|
664 |
+
This function prepares the data and calls the Modal backend.
|
665 |
+
"""
|
666 |
+
if not bio or not interest:
|
667 |
+
sections = {
|
668 |
+
"summary": "Please provide your bio/goals and select an interest area.",
|
669 |
+
"roles": "", "skills": "", "learning": "",
|
670 |
+
"projects": "", "certifications": ""
|
671 |
+
}
|
672 |
+
formatted = format_sections(sections)
|
673 |
+
return [
|
674 |
+
formatted["summary"],
|
675 |
+
formatted["roles"],
|
676 |
+
formatted["skills"],
|
677 |
+
formatted["learning"],
|
678 |
+
formatted["projects"],
|
679 |
+
formatted["certifications"]
|
680 |
+
]
|
681 |
+
|
682 |
+
# Show a thinking message immediately
|
683 |
+
sections = {
|
684 |
+
"summary": "π€ Agent is thinking... Parsing your profile and crafting a response. This may take a moment.",
|
685 |
+
"roles": "", "skills": "", "learning": "",
|
686 |
+
"projects": "", "certifications": ""
|
687 |
+
}
|
688 |
+
formatted = format_sections(sections)
|
689 |
+
yield [
|
690 |
+
formatted["summary"],
|
691 |
+
formatted["roles"],
|
692 |
+
formatted["skills"],
|
693 |
+
formatted["learning"],
|
694 |
+
formatted["projects"],
|
695 |
+
formatted["certifications"]
|
696 |
+
]
|
697 |
+
|
698 |
+
payload = {
|
699 |
+
"bio": bio,
|
700 |
+
"interest": interest,
|
701 |
+
}
|
702 |
+
|
703 |
+
# Handle the optional resume file
|
704 |
+
if resume_file is not None:
|
705 |
+
with open(resume_file.name, "rb") as f:
|
706 |
+
file_content = f.read()
|
707 |
+
encoded_file = base64.b64encode(file_content).decode("utf-8")
|
708 |
+
payload["resume"] = {
|
709 |
+
"name": resume_file.name,
|
710 |
+
"data": encoded_file
|
711 |
+
}
|
712 |
+
|
713 |
+
try:
|
714 |
+
print("Making request to Modal endpoint...")
|
715 |
+
response = requests.post(MODAL_WEB_ENDPOINT_URL, json=payload, timeout=120)
|
716 |
+
print(f"Response status code: {response.status_code}")
|
717 |
+
response.raise_for_status()
|
718 |
+
|
719 |
+
result = response.json()
|
720 |
+
print("Raw response from Modal:", result)
|
721 |
+
|
722 |
+
advice_text = result.get("advice", "")
|
723 |
+
print("Advice text:", advice_text[:200] + "..." if advice_text else "No advice text")
|
724 |
+
|
725 |
+
sections = extract_sections(advice_text)
|
726 |
+
print("Extracted sections:", sections.keys())
|
727 |
+
|
728 |
+
# Format sections with proper styling
|
729 |
+
formatted = format_sections(sections)
|
730 |
+
|
731 |
+
output = [
|
732 |
+
formatted["summary"],
|
733 |
+
formatted["roles"],
|
734 |
+
formatted["skills"],
|
735 |
+
formatted["learning"],
|
736 |
+
formatted["projects"],
|
737 |
+
formatted["certifications"]
|
738 |
+
]
|
739 |
+
print("Returning output with lengths:", [len(str(x)) for x in output])
|
740 |
+
yield output
|
741 |
+
|
742 |
+
except Exception as e:
|
743 |
+
print(f"Error occurred: {str(e)}")
|
744 |
+
error_sections = {
|
745 |
+
"summary": f"An error occurred: {str(e)}",
|
746 |
+
"roles": "Error occurred",
|
747 |
+
"skills": "Error occurred",
|
748 |
+
"learning": "Error occurred",
|
749 |
+
"projects": "Error occurred",
|
750 |
+
"certifications": "Error occurred"
|
751 |
+
}
|
752 |
+
formatted = format_sections(error_sections)
|
753 |
+
yield [
|
754 |
+
formatted["summary"],
|
755 |
+
formatted["roles"],
|
756 |
+
formatted["skills"],
|
757 |
+
formatted["learning"],
|
758 |
+
formatted["projects"],
|
759 |
+
formatted["certifications"]
|
760 |
+
]
|
761 |
+
|
762 |
+
# Define the Gradio UI using Blocks for custom layout
|
763 |
+
with gr.Blocks(theme=gr.themes.Soft(), title="AI Career Advisor") as demo:
|
764 |
+
gr.Markdown(
|
765 |
+
"""
|
766 |
+
# π― AI Career Advisor
|
767 |
+
Get personalized career advice, skill-gap analysis, and a learning roadmap from an AI agent.
|
768 |
+
"""
|
769 |
+
)
|
770 |
+
|
771 |
+
with gr.Row():
|
772 |
+
# Left column for input
|
773 |
+
with gr.Column(scale=1):
|
774 |
+
gr.Markdown("### π Your Profile")
|
775 |
+
user_bio = gr.Textbox(
|
776 |
+
label="Your Bio or Goal",
|
777 |
+
placeholder="e.g., I'm a 3rd-year IT student interested in Machine Learning and want to become an ML Engineer.",
|
778 |
+
lines=4
|
779 |
+
)
|
780 |
+
interest_area = gr.Dropdown(
|
781 |
+
label="Primary Area of Interest",
|
782 |
+
choices=["AI / Data Science", "Web Development", "Cybersecurity",
|
783 |
+
"Cloud Computing", "DevOps", "Game Development"]
|
784 |
+
)
|
785 |
+
resume_upload = gr.File(
|
786 |
+
label="Upload Resume (PDF or DOCX)",
|
787 |
+
file_types=[".pdf", ".docx"]
|
788 |
+
)
|
789 |
+
submit_btn = gr.Button("Get Career Advice", variant="primary")
|
790 |
+
|
791 |
+
# Right column for output
|
792 |
+
with gr.Column(scale=2):
|
793 |
+
with gr.Tabs():
|
794 |
+
with gr.Tab("π Overview"):
|
795 |
+
summary_md = gr.HTML()
|
796 |
+
roles_md = gr.HTML()
|
797 |
+
|
798 |
+
with gr.Tab("π― Skills & Learning"):
|
799 |
+
skills_md = gr.HTML()
|
800 |
+
learning_md = gr.HTML()
|
801 |
+
|
802 |
+
with gr.Tab("π‘ Projects"):
|
803 |
+
projects_md = gr.HTML()
|
804 |
+
|
805 |
+
with gr.Tab("π Certifications"):
|
806 |
+
cert_md = gr.HTML()
|
807 |
+
|
808 |
+
submit_btn.click(
|
809 |
+
fn=get_advice_from_agent,
|
810 |
+
inputs=[user_bio, interest_area, resume_upload],
|
811 |
+
outputs=[summary_md, roles_md, skills_md, learning_md, projects_md, cert_md]
|
812 |
+
)
|
813 |
+
|
814 |
+
gr.Examples(
|
815 |
+
examples=[
|
816 |
+
["I am a software developer with 5 years of experience in Java, and I want to transition into a DevOps role.", "DevOps", None],
|
817 |
+
["I'm a final year marketing student fascinated by data. I know some basic Python and SQL and want a career that blends marketing with data analytics.", "AI / Data Science", None],
|
818 |
+
],
|
819 |
+
inputs=[user_bio, interest_area, resume_upload]
|
820 |
+
)
|
821 |
+
|
822 |
+
if __name__ == "__main__":
|
823 |
+
demo.launch()
|
modal_agent_gemini.py
ADDED
@@ -0,0 +1,170 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import io
|
2 |
+
import os
|
3 |
+
from typing import Optional
|
4 |
+
|
5 |
+
import docx
|
6 |
+
import fitz # PyMuPDF
|
7 |
+
import modal
|
8 |
+
import google.generativeai as genai
|
9 |
+
|
10 |
+
app = modal.App(
|
11 |
+
name="career-advisor-agent-gemini",
|
12 |
+
image=modal.Image.debian_slim().pip_install(
|
13 |
+
"google-generativeai",
|
14 |
+
"pymupdf<1.24.0",
|
15 |
+
"python-docx",
|
16 |
+
"fastapi[standard]"
|
17 |
+
),
|
18 |
+
secrets=[modal.Secret.from_name("my-google-secret")],
|
19 |
+
)
|
20 |
+
|
21 |
+
def parse_resume(file_content: bytes, filename: str) -> str:
|
22 |
+
"""Parses text from PDF or DOCX files."""
|
23 |
+
text = ""
|
24 |
+
try:
|
25 |
+
if filename.lower().endswith(".pdf"):
|
26 |
+
pdf_document = fitz.open(stream=file_content, filetype="pdf")
|
27 |
+
for page in pdf_document:
|
28 |
+
text += page.get_text()
|
29 |
+
pdf_document.close()
|
30 |
+
elif filename.lower().endswith(".docx"):
|
31 |
+
doc = docx.Document(io.BytesIO(file_content))
|
32 |
+
for para in doc.paragraphs:
|
33 |
+
text += para.text + "\n"
|
34 |
+
except Exception as e:
|
35 |
+
print(f"Error parsing file {filename}: {e}")
|
36 |
+
return f"Error parsing resume: {e}"
|
37 |
+
return text
|
38 |
+
|
39 |
+
|
40 |
+
@app.function(timeout=120)
|
41 |
+
def get_career_advice(
|
42 |
+
bio: str,
|
43 |
+
interest: str,
|
44 |
+
resume_text: Optional[str] = None,
|
45 |
+
):
|
46 |
+
"""The main agent function that queries the Gemini API."""
|
47 |
+
try:
|
48 |
+
# Configure the Gemini API client
|
49 |
+
genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
|
50 |
+
|
51 |
+
# List available models to debug
|
52 |
+
try:
|
53 |
+
models = genai.list_models()
|
54 |
+
print("Available models:", [model.name for model in models])
|
55 |
+
except Exception as e:
|
56 |
+
print(f"Could not list models: {e}")
|
57 |
+
|
58 |
+
# Initialize the Generative Model with explicit model name
|
59 |
+
model = genai.GenerativeModel(model_name='gemini-2.0-flash')
|
60 |
+
|
61 |
+
prompt = f"""
|
62 |
+
You are an expert career advisor and coach. Your goal is to provide clear, actionable, and visually structured career advice.
|
63 |
+
Format your entire response in Markdown, making it highly visual and structured.
|
64 |
+
|
65 |
+
Here is the user's profile:
|
66 |
+
Primary Interest Area: {interest}
|
67 |
+
Bio: {bio}
|
68 |
+
Resume Content: {resume_text if resume_text else "No resume provided."}
|
69 |
+
|
70 |
+
Important Instructions:
|
71 |
+
1. Focus PRIMARILY on the user's chosen interest area ({interest}). All advice should be specifically tailored to this field.
|
72 |
+
2. If a resume is provided, analyze their current skills and experience to provide more personalized recommendations.
|
73 |
+
3. Ensure all recommendations, courses, and projects are SPECIFICALLY relevant to {interest}.
|
74 |
+
4. Use the resume content to identify transferable skills that would be valuable in {interest}.
|
75 |
+
|
76 |
+
Provide a structured response with the following sections:
|
77 |
+
|
78 |
+
### π« Quick Summary
|
79 |
+
A brief 2-3 sentence overview focusing specifically on their potential in {interest}, highlighting relevant existing skills and clear next steps.
|
80 |
+
|
81 |
+
### π― Recommended Roles
|
82 |
+
Present 3 recommended roles IN THE {interest} FIELD ONLY in this format:
|
83 |
+
1. **Role Name** (Match Score: X/10)
|
84 |
+
- Salary Range: $XX,XXX - $XXX,XXX
|
85 |
+
- Key Requirements: req1, req2, req3
|
86 |
+
- Why It Fits: Brief explanation based on their background
|
87 |
+
|
88 |
+
### π Skills Assessment
|
89 |
+
Analyze their current skills relevant to {interest}. Use this format:
|
90 |
+
```skill-meter
|
91 |
+
Current Skills Relevant to {interest}:
|
92 |
+
Skill Name [ββββββββββ] 50%
|
93 |
+
```
|
94 |
+
Include 4-5 most relevant skills for {interest}, showing both strengths and areas for improvement.
|
95 |
+
|
96 |
+
### π Learning Path
|
97 |
+
Present a structured timeline SPECIFIC to {interest}:
|
98 |
+
1. **Month 1-2: Foundation**
|
99 |
+
- Course: "Course Name" (Platform) - Must be relevant to {interest}
|
100 |
+
- Project: "Project idea" - Must be relevant to {interest}
|
101 |
+
- Expected Outcome: "What they'll learn"
|
102 |
+
|
103 |
+
### π‘ Project Portfolio
|
104 |
+
Present 3 project ideas AS CARDS that are SPECIFICALLY for {interest}:
|
105 |
+
```project-card
|
106 |
+
Project: Name
|
107 |
+
Difficulty: βββββ
|
108 |
+
Duration: 2 weeks
|
109 |
+
Skills: skill1, skill2
|
110 |
+
Description: Brief description
|
111 |
+
```
|
112 |
+
|
113 |
+
### π Certifications
|
114 |
+
List 2-3 recommended certifications SPECIFIC to {interest}:
|
115 |
+
- Certificate Name (Provider)
|
116 |
+
- Difficulty Level: βββββ
|
117 |
+
- Time Commitment: X-Y months
|
118 |
+
- Cost Range: $XXX (details)
|
119 |
+
|
120 |
+
Remember to:
|
121 |
+
- Keep ALL advice focused on {interest}
|
122 |
+
- Use their resume/background to make recommendations more relevant
|
123 |
+
- Be specific and actionable in all recommendations
|
124 |
+
- Use proper formatting for visual elements (skill bars, project cards, diagram)
|
125 |
+
"""
|
126 |
+
|
127 |
+
try:
|
128 |
+
response = model.generate_content(prompt)
|
129 |
+
if response and hasattr(response, 'text'):
|
130 |
+
return response.text
|
131 |
+
else:
|
132 |
+
return "Error: Received empty or invalid response from Gemini API"
|
133 |
+
except Exception as e:
|
134 |
+
print(f"Generate content error: {str(e)}")
|
135 |
+
return f"Error generating content: {str(e)}"
|
136 |
+
|
137 |
+
except KeyError:
|
138 |
+
return "Error: GOOGLE_API_KEY not found in environment variables"
|
139 |
+
except Exception as e:
|
140 |
+
print(f"Unexpected error: {str(e)}")
|
141 |
+
return f"An unexpected error occurred: {str(e)}"
|
142 |
+
|
143 |
+
|
144 |
+
# --- FIX 1: Use the new decorator name ---
|
145 |
+
@app.function()
|
146 |
+
@modal.fastapi_endpoint(method="POST")
|
147 |
+
def web_endpoint(data: dict):
|
148 |
+
"""
|
149 |
+
This is the web endpoint that our Gradio app will call.
|
150 |
+
"""
|
151 |
+
try:
|
152 |
+
print("Received request with data:", data)
|
153 |
+
bio = data.get("bio")
|
154 |
+
interest = data.get("interest")
|
155 |
+
resume_data = data.get("resume")
|
156 |
+
|
157 |
+
resume_text = None
|
158 |
+
if resume_data:
|
159 |
+
import base64
|
160 |
+
file_content = base64.b64decode(resume_data["data"])
|
161 |
+
resume_text = parse_resume(file_content, resume_data["name"])
|
162 |
+
print("Parsed resume text length:", len(resume_text) if resume_text else 0)
|
163 |
+
|
164 |
+
# Call the main agent function
|
165 |
+
advice = get_career_advice.remote(bio, interest, resume_text)
|
166 |
+
print("Generated advice length:", len(advice) if advice else 0)
|
167 |
+
return {"advice": advice}
|
168 |
+
except Exception as e:
|
169 |
+
print(f"Error in web endpoint: {str(e)}")
|
170 |
+
return {"advice": f"Error occurred in web endpoint: {str(e)}"}
|
requirements.txt
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
gradio
|
2 |
+
requests
|
3 |
+
python-docx
|
4 |
+
pymupdf<1.24.0
|