import gradio as gr
import base64
import os
import json
# --- Helper Functions ---
def load_json(filename):
"""Load JSON data from content folder"""
try:
with open(f"content/{filename}.json", "r", encoding="utf-8") as f:
return json.load(f)
except Exception as e:
print(f"Error loading {filename}.json: {e}")
return {}
def file_to_data_uri(filepath, mime_type="application/pdf"):
"""Convert file to data URI"""
try:
with open(filepath, "rb") as f:
data = f.read()
b64 = base64.b64encode(data).decode("utf-8")
return f"data:{mime_type};base64,{b64}"
except Exception as e:
print(f"Error converting file to data URI: {e}")
return None
def image_to_data_uri(filepath, mime_type="image/jpeg"):
"""Convert image to data URI"""
try:
with open(filepath, "rb") as f:
data = f.read()
b64 = base64.b64encode(data).decode("utf-8")
return f"data:{mime_type};base64,{b64}"
except Exception as e:
print(f"Error converting image to data URI: {e}")
return None
# --- Navigation Functions ---
def show_data_analytics():
return gr.update(visible=False), gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)
def show_machine_learning():
return gr.update(visible=False), gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)
def show_computer_vision():
return gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=True)
def go_home():
return gr.update(visible=True), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
def toggle_resume(is_visible):
"""Toggle the visibility of the resume section."""
new_state = not is_visible
new_label = "Hide Resume" if new_state else "View Resume"
return new_state, gr.update(visible=new_state), gr.update(value=new_label)
# --- Icons (SVG) ---
data_analytics_icon = """"""
machine_learning_icon = """"""
computer_vision_icon = """"""
home_icon = """"""
linkedin_icon = """"""
github_icon = """"""
mail_icon = """"""
link_icon = """"""
document_icon = """"""
# Dictionary for icon access
icons = {
"data_analytics_icon": data_analytics_icon,
"machine_learning_icon": machine_learning_icon,
"computer_vision_icon": computer_vision_icon,
"home_icon": home_icon,
"linkedin_icon": linkedin_icon,
"github_icon": github_icon,
"mail_icon": mail_icon,
"link_icon": link_icon,
"document_icon": document_icon
}
# --- Helper functions for generating HTML ---
def generate_profile_html():
"""Generate HTML for the profile section"""
try:
profile_img_uri = image_to_data_uri(profile_data.get("photo", "data/My_photo.jpeg"))
# Skills HTML
skills_html = ""
for skill in profile_data.get("skills", []):
skills_html += f'
{skill}
\n'
# Social links HTML
social_links_html = ""
for link in profile_data.get("social_links", []):
icon = icons.get(link.get("icon", ""), "")
id_attr = f' id="{link["id"]}"' if "id" in link else ""
social_links_html += f'''
{ icon }
'''
return f'''
{profile_data.get("name", "")}
{profile_data.get("title", "")}
{profile_data.get("about", "")}
{skills_html}
{social_links_html}
'''
except Exception as e:
# Fallback if error occurs
print(f"Error generating profile HTML: {e}")
return f'''
'''
def generate_cards_html():
"""Generate HTML for the specialization cards"""
cards_html = ""
for card in sections_data.get("cards", []):
icon = icons.get(card.get("icon", ""), "")
cards_html += f'''
{icon}
{card.get("title", "")}
{card.get("description", "")}
'''
return cards_html
def generate_contact_html():
"""Generate HTML for the contact section"""
contact = profile_data.get("contact", {})
footer = profile_data.get("footer", {})
return f'''
'''
def generate_skills_html(skills_data, section_class):
"""Generate HTML for skills in a section"""
skills_html = ""
for skill_category in skills_data:
items_html = ""
for item in skill_category.get("items", []):
items_html += f"
{item}
\n"
skills_html += f'''
{skill_category.get("category", "")}
{items_html}
'''
return skills_html
def generate_projects_html(projects_data, section_class):
"""Generate HTML for projects in a section"""
projects_html = ""
for project in projects_data:
projects_html += f'''