import streamlit as st
import json
from datetime import datetime
import time
import requests
import boto3
import uuid
import os
from AdminDashboard import render_admin_dashboard
# Load configuration from environment variables (Hugging Face Spaces)
API_ENDPOINT = os.getenv("API_ENDPOINT", "https://oau6sljd4l.execute-api.ap-south-1.amazonaws.com/production/process")
# DynamoDB configuration for session tracking
DYNAMODB_REGION = os.getenv("DYNAMODB_REGION", "ap-south-1")
SESSION_TABLE = os.getenv("SESSION_TABLE", "SessionTracking")
# AWS Configuration
AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")
AWS_DEFAULT_REGION = os.getenv("AWS_DEFAULT_REGION", "ap-south-1")
# Default values
DEFAULT_USER_ID = int(os.getenv("DEFAULT_USER_ID", "30"))
DEFAULT_PERSONALIZATION_ID = int(os.getenv("DEFAULT_PERSONALIZATION_ID", "100"))
API_TIMEOUT = int(os.getenv("API_TIMEOUT", "30"))
# Authentication credentials from environment variables
VALID_USERNAME = os.getenv("APP_USERNAME")
VALID_PASSWORD = os.getenv("APP_PASSWORD")
# Course configurations
COURSE_CONFIGS = {
"AI Ready Course": {"course_id": 47, "chapter_id": 647},
"MERN": {"course_id": 48, "chapter_id": 648},
"Machine Learning": {"course_id": 49, "chapter_id": 649},
"Data Science": {"course_id": 50, "chapter_id": 650},
"Flask": {"course_id": 51, "chapter_id": 651},
"Django": {"course_id": 52, "chapter_id": 652}
}
# Set page configuration
st.set_page_config(
page_title="Base Course Personalization",
layout="wide",
initial_sidebar_state="collapsed",
page_icon="📚",
menu_items={
'Get Help': None,
'Report a bug': None,
'About': None
}
)
# Custom CSS for dark theme styling
st.markdown("""
""", unsafe_allow_html=True)
# Initialize session state for topics and authentication
if 'topics_list' not in st.session_state:
st.session_state.topics_list = [{"topic_title": "What is Flask", "chapter_title": "Introduction to Flask"}]
if 'session_ids' not in st.session_state:
st.session_state.session_ids = []
if 'authenticated' not in st.session_state:
st.session_state.authenticated = False
if 'current_page' not in st.session_state:
st.session_state.current_page = "Course Generation"
# Authentication check
if not st.session_state.authenticated:
st.markdown('🔐 Login to Course Management
', unsafe_allow_html=True)
# Check if credentials are configured
if not VALID_USERNAME or not VALID_PASSWORD:
st.error("❌ Authentication credentials not configured. Please contact administrator.")
st.stop()
col1, col2, col3 = st.columns([1, 2, 1])
with col2:
with st.container():
st.markdown('', unsafe_allow_html=True)
with st.form("login_form"):
st.markdown('', unsafe_allow_html=True)
username = st.text_input("Username", placeholder="Enter username", key="login_username")
password = st.text_input("Password", placeholder="Enter password", type="password", key="login_password")
login_submitted = st.form_submit_button("🚀 Login", use_container_width=True)
if login_submitted:
if VALID_USERNAME and VALID_PASSWORD and username == VALID_USERNAME and password == VALID_PASSWORD:
st.session_state.authenticated = True
st.success("Login successful! Redirecting...")
time.sleep(1)
st.rerun()
else:
st.error("❌ Invalid username or password")
st.markdown('
', unsafe_allow_html=True)
st.markdown("---")
st.markdown("""
Please contact administrator for access credentials
""", unsafe_allow_html=True)
st.stop()
# Navigation and Header (after login)
col1, col2, col3, col4 = st.columns([3, 2, 2, 1])
with col1:
st.markdown('📚 Course Management System
', unsafe_allow_html=True)
with col2:
page = st.selectbox(
"📋 Navigate to:",
["Course Generation", "Admin Dashboard"],
index=0 if st.session_state.current_page == "Course Generation" else 1,
key="page_selector"
)
st.session_state.current_page = page
with col4:
if st.button("🔓 Logout", key="logout_btn"):
st.session_state.authenticated = False
st.session_state.topics_list = [{"topic_title": "What is Flask", "chapter_title": "Introduction to Flask"}]
st.session_state.session_ids = []
st.session_state.current_page = "Course Generation"
st.rerun()
# Page routing
if st.session_state.current_page == "Admin Dashboard":
render_admin_dashboard()
else:
# Course Generation Page (Original Content)
# Course Selection Section
st.markdown('', unsafe_allow_html=True)
col1, col2 = st.columns([2, 3])
with col1:
selected_course = st.selectbox(
"Select Course Type",
options=list(COURSE_CONFIGS.keys()),
index=0,
help="Choose the course you want to generate content for"
)
with col2:
st.info(f"**Selected:** {selected_course} (Course ID: {COURSE_CONFIGS[selected_course]['course_id']})")
# Topics Section (Outside form for dynamic interaction)
st.markdown('', unsafe_allow_html=True)
# Display existing topics with better styling
for i, topic in enumerate(st.session_state.topics_list):
st.markdown(f'', unsafe_allow_html=True)
st.markdown(f'', unsafe_allow_html=True)
col1, col2, col3 = st.columns([3, 3, 1])
with col1:
topic_title = st.text_input(
"Topic Title",
value=topic["topic_title"],
key=f"topic_title_{i}",
help="Enter the topic title"
)
st.session_state.topics_list[i]["topic_title"] = topic_title
with col2:
chapter_title = st.text_input(
"Chapter Title",
value=topic["chapter_title"],
key=f"chapter_title_{i}",
help="Enter the chapter title"
)
st.session_state.topics_list[i]["chapter_title"] = chapter_title
with col3:
if len(st.session_state.topics_list) > 1:
st.markdown("
", unsafe_allow_html=True) # Add spacing
if st.button("🗑️", key=f"remove_{i}", help="Remove this topic"):
st.session_state.topics_list.pop(i)
st.rerun()
st.markdown('
', unsafe_allow_html=True)
# Add/Remove topic buttons outside the form
st.markdown('', unsafe_allow_html=True)
col1, col2, col3, col4 = st.columns([2, 2, 2, 4])
with col1:
if st.button("➕ Add Topic", key="add_topic", help="Add a new topic"):
st.session_state.topics_list.append({
"topic_title": f"Topic {len(st.session_state.topics_list) + 1}",
"chapter_title": f"Chapter {len(st.session_state.topics_list) + 1}"
})
st.rerun()
with col2:
if st.button("🔄 Reset All", key="reset_topics", help="Reset to default topics"):
st.session_state.topics_list = [{"topic_title": "What is Flask", "chapter_title": "Introduction to Flask"}]
st.rerun()
st.markdown('
', unsafe_allow_html=True)
# Main Form (for settings and submission)
with st.form("personalization_form", clear_on_submit=False):
# Language & Voice Settings Section
st.markdown('', unsafe_allow_html=True)
col1, col2, col3 = st.columns(3)
with col1:
target_language = st.selectbox(
"Target Language",
["english", "hindi", "marathi", "kannada", "punjabi","gujarati"],
index=0,
format_func=lambda x: x.capitalize(),
help="Select the target language for content generation"
)
with col2:
tts_gender = st.selectbox(
"Voice Gender",
["male", "female"],
index=0,
format_func=lambda x: x.capitalize(),
help="Select the voice gender for text-to-speech"
)
with col3:
tts_voice = st.selectbox(
"Voice Style",
["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
index=3, # Default to "onyx"
format_func=lambda x: x.capitalize(),
help="Select the voice style for text-to-speech"
)
# Technical Settings Section
st.markdown('', unsafe_allow_html=True)
col1, col2 = st.columns(2)
with col1:
# Comprehensive list of programming languages, frameworks, and databases
tech_options = [
# Programming Languages
"Python", "Java", "JavaScript", "TypeScript", "C++", "C#", "C", "Go", "Rust", "Swift",
"Kotlin", "Scala", "Ruby", "PHP", "Perl", "R", "MATLAB", "Dart", "Objective-C", "Assembly",
"Haskell", "Erlang", "Elixir", "F#", "Clojure", "Lua", "Julia", "Groovy", "VB.NET", "COBOL",
"Fortran", "Pascal", "Delphi", "Ada", "Prolog", "Lisp", "Scheme", "OCaml", "ML",
# Web Technologies
"HTML", "CSS", "SASS", "LESS", "Bootstrap", "Tailwind CSS", "Material-UI",
# Frontend Frameworks/Libraries
"React", "Vue.js", "Angular", "Svelte", "Next.js", "Nuxt.js", "Gatsby", "Ember.js",
"Backbone.js", "jQuery", "Alpine.js", "Lit", "Stencil", "Ionic", "React Native",
"Flutter", "Xamarin", "Cordova", "PhoneGap",
# Backend Frameworks
"Node.js", "Express.js", "Nest.js", "Django", "Flask", "FastAPI", "Pyramid", "Tornado",
"Spring Boot", "Spring MVC", "Struts", "Hibernate", "ASP.NET", "ASP.NET Core",
"Ruby on Rails", "Sinatra", "Laravel", "Symfony", "CodeIgniter", "CakePHP", "Zend",
"Gin", "Echo", "Fiber", "Actix", "Rocket", "Warp", "Axum",
# Mobile Development
"Android (Java)", "Android (Kotlin)", "iOS (Swift)", "iOS (Objective-C)",
# Game Development
"Unity", "Unreal Engine", "Godot", "GameMaker Studio", "Construct", "Phaser",
# Database Technologies
"MySQL", "PostgreSQL", "SQLite", "Microsoft SQL Server", "Oracle Database",
"MongoDB", "Redis", "Cassandra", "DynamoDB", "Firebase", "Supabase",
"CouchDB", "Neo4j", "InfluxDB", "TimescaleDB", "ClickHouse", "Apache Spark",
"Elasticsearch", "Apache Solr", "Amazon RDS", "Google Cloud SQL",
# Cloud & DevOps
"AWS", "Google Cloud Platform", "Microsoft Azure", "Digital Ocean", "Heroku",
"Docker", "Kubernetes", "Terraform", "Ansible", "Jenkins", "GitLab CI", "GitHub Actions",
"Nginx", "Apache", "Linux", "Ubuntu", "CentOS", "Red Hat",
# Data Science & AI/ML
"TensorFlow", "PyTorch", "Scikit-learn", "Pandas", "NumPy", "Matplotlib", "Seaborn",
"Jupyter", "Apache Airflow", "Apache Kafka", "Apache Flink", "Hadoop", "Spark",
"Tableau", "Power BI", "D3.js", "Plotly", "OpenCV", "Keras", "XGBoost",
# Testing Frameworks
"Jest", "Mocha", "Chai", "Cypress", "Selenium", "Playwright", "Puppeteer",
"JUnit", "TestNG", "Mockito", "PyTest", "unittest", "RSpec", "PHPUnit",
# Other Technologies
"GraphQL", "REST API", "gRPC", "WebSocket", "Apache Kafka", "RabbitMQ",
"Blockchain", "Solidity", "Web3", "Ethereum", "Bitcoin", "Smart Contracts",
"Microservices", "Serverless", "Lambda Functions", "API Gateway"
]
# Sort the options alphabetically
tech_options.sort()
programming_language = st.selectbox(
"Programming Language / Technology",
tech_options,
index=tech_options.index("Python") if "Python" in tech_options else 0,
help="Select the primary programming language, framework, or technology for examples"
)
with col2:
st.markdown("
", unsafe_allow_html=True) # Add spacing
toggle_hinglish = st.toggle("Enable Hinglish", value=True, help="Enable mixing of Hindi and English")
# Submit button
st.markdown("
", unsafe_allow_html=True)
col1, col2, col3 = st.columns([1, 2, 1])
with col2:
submitted = st.form_submit_button("🚀 Generate Course", use_container_width=True)
# Handle submission
if submitted:
# Use the topics from session state directly
topics_to_process = st.session_state.topics_list
# Get course configuration
course_config = COURSE_CONFIGS[selected_course]
course_id = course_config["course_id"]
chapter_id = course_config["chapter_id"]
# Validate inputs
valid_topics = []
for topic in topics_to_process:
if topic["topic_title"].strip() and topic["chapter_title"].strip():
valid_topics.append(topic)
if not valid_topics:
st.error("❌ Please enter at least one topic with both topic title and chapter title")
else:
# Show loading state with better animation
with st.spinner(f"🎬 Generating your {selected_course} course... This may take a few moments."):
progress_bar = st.progress(0)
for i in range(100):
time.sleep(0.02) # Simulating progress
progress_bar.progress(i + 1)
# Hardcoded values
user_id = DEFAULT_USER_ID
personalization_id = DEFAULT_PERSONALIZATION_ID
# Create user profile (hardcoded)
user_profile = {
"personalized": True,
"user_name": "System User",
"user_age": 25,
"user_gender": "male",
"user_tech_knowledge": "beginner",
"user_preferred_activity": "coding, learning, technology",
"user_food": "healthy food, vegetarian",
"user_physical_activities": "walking, yoga",
"learning_style": "visual",
"target_language": target_language,
"tts_gender": tts_gender,
"tts_voice": tts_voice,
"toggle_hinglish": toggle_hinglish,
"run_visualization": False,
"subtitle": "",
"age_group": "18-25"
}
# Create settings
settings = {
"target_language": target_language,
"tts_gender": tts_gender,
"tts_voice": tts_voice,
"toggle_hinglish": toggle_hinglish,
"run_visualization": False,
"subtitle": "",
"programming_language": programming_language,
"slide_colour": "blue",
"video_type": "base_video"
}
# Generate topics data with user input for titles and course-specific values
topics_data = []
for i, topic in enumerate(valid_topics):
topics_data.append({
"topic_id": 10834 + i, # Hardcoded with increment
"topic_title": topic["topic_title"].strip(),
"chapter_id": chapter_id, # From selected course
"chapter_title": topic["chapter_title"].strip(), # User input
"course_id": course_id, # From selected course
"video_url": f"https://techlearn-dev.s3.ap-south-1.amazonaws.com/course_videos/{course_id}/{chapter_id}/172906{4365+i*50}.mp4", # Course-specific
"video_duration": 462 + i*20, # Hardcoded with variation
"sequence_number": i + 1,
})
# Create payload (always multiple topics structure)
payload = {
"personalization_id": personalization_id,
"user_id": user_id,
"course_id": course_id,
"total_videos": len(topics_data),
"created_at": datetime.utcnow().isoformat(),
"user_profile": user_profile,
"topics": topics_data,
"settings": settings
}
# Make API call
try:
headers = {
'Content-Type': 'application/json'
}
response = requests.post(API_ENDPOINT, json=payload, headers=headers, timeout=API_TIMEOUT)
if response.status_code == 200:
response_data = response.json()
session_ids = response_data.get("session_ids", [])
st.success(f"🎉 {selected_course} generation started successfully!")
# Store session IDs in session state
st.session_state.session_ids.extend(session_ids)
# Display results in a clean format
st.markdown("### 📊 Generation Summary")
col1, col2 = st.columns(2)
with col1:
st.markdown(f"""
**Course**: {selected_course}
**Course ID**: {course_id}
**Programming Language**: {programming_language.capitalize()}
**Target Language**: {target_language.capitalize()}
""")
with col2:
st.markdown(f"""
**Voice**: {tts_voice.capitalize()} ({tts_gender.capitalize()})
**Topics Count**: {len(valid_topics)}
**Hinglish**: {"Enabled" if toggle_hinglish else "Disabled"}
**Chapter ID**: {chapter_id}
""")
# Display session IDs
if session_ids:
st.markdown("### 🔍 Session Tracking IDs")
for i, session_id in enumerate(session_ids, 1):
st.markdown(f'📝 Session {i}: {session_id}
', unsafe_allow_html=True)
# Display API response
with st.expander("📊 View Full API Response", expanded=False):
st.markdown('', unsafe_allow_html=True)
st.json(response_data)
st.markdown('
', unsafe_allow_html=True)
# Information about tracking
st.info(f"""
💡 **Tracking Information**
You can track the progress of your {selected_course} course generation using the session IDs above.
The processing status will be updated in DynamoDB table: {SESSION_TABLE}
Region: {DYNAMODB_REGION}
👉 **Next Steps**: Switch to the "Admin Dashboard" to monitor your session progress in real-time!
""")
else:
st.error(f"❌ API Error: {response.status_code}")
if response.text:
st.error(f"**Error Details**: {response.text}")
except requests.exceptions.Timeout:
st.error("⏰ Request timed out. Please try again later.")
except requests.exceptions.ConnectionError:
st.error("🌐 Connection error. Please check your internet connection.")
except Exception as e:
st.error(f"❌ API call failed: {str(e)}")
# Show payload for debugging
with st.expander("🐛 Debug Information", expanded=False):
st.warning("Request payload for debugging:")
st.json(payload)