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Update app.py
Browse filesupdated the streamlit for changes made for lesson plan
app.py
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import streamlit as st
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import json
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# Page configuration
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st.set_page_config(
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""", unsafe_allow_html=True)
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# Initialize
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# Header
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st.title("WizLab Lesson Plan Generator")
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col1, col2 = st.columns(2)
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with col1:
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topic = st.text_input("Topic",
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age_group_options = ["Elementary (6-11)", "Middle School (12-14)",
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"High School (15-18)", "Adult Learners", "Other"]
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age_group = age_group_selection
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language_options = [
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"English", "
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"Deutsch (German)", "Français (French)", "Português (Portuguese)",
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"العربية (Arabic)", "Русский (Russian)", "Other"
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]
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language_selection = st.selectbox("Select Output Language", language_options)
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LANGUAGE_MAPPING = {
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"中文 (Mandarin Chinese)": "Mandarin Chinese"
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"हिंदी (Hindi)": "Hindi",
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"한국어 (Korean)": "Korean",
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"Deutsch (German)": "German",
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"Français (French)": "French",
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"Português (Portuguese)": "Portuguese",
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"العربية (Arabic)": "Arabic",
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"Русский (Russian)": "Russian"
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}
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# Then in your language selection code:
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else:
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# Use mapping if available, otherwise use the base language name
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skills_section = ["Reading", "Writing", "Listening", "Speaking", "Other"]
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if other_skills:
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skill_focus.append(other_skills) # Add user-specified skills
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#st.write("Selected Skills:", skill_focus)
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#if language_selection == "Other":
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# language = st.text_input("Specify Language")
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# else:
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# Extract the base language name without the native script
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# language = language_selection.split(" (")[0] if " (" in language_selection else language_selection
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with col2:
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# duration = st.text_input("Specify Duration")
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#else:
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# duration = duration_selection
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duration = st.text_input("Duration [in minutes]", placeholder = "e.g., 25 minutes")
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proficiency_options = ["Beginner [A1]", "Elementary [A2]", "Intermediate[B1]", "Upper-Intermediate [B2]", "Advanced[C1]", "Proficient [C2]", "Other"]
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proficiency_selection = st.selectbox("Proficiency Level [CEFR]", proficiency_options)
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if proficiency_selection == "Other":
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proficiency = st.text_input("Specify Proficiency Level")
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"Mobile Devices", "Internet Access", "None", "Other"]
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tech_selection = st.multiselect("Accessible Tech Resources", tech_options)
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num_students = st.text_input("Number of students", placeholder=
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if "Other" in tech_selection:
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other_tech = st.text_input("Specify Other Technology Requirements")
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return html_content
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# Generate button
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# Generate button
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if st.button("Generate Lesson Plan", type="primary"):
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if not topic:
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st.error("Please enter a topic for the lesson plan.")
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else:
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with st.spinner("Generating your lesson plan..."):
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# Set default values if not provided
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if not duration:
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duration = "30 minutes"
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language = "English"
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detailed_prompt = f"""
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try:
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#
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except Exception as e:
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st.error(f"An error occurred: {str(e)}")
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# Footer
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st.markdown("---")
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import streamlit as st
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import json
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import os
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from dotenv import load_dotenv
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from typing import Dict, Any
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# Import the LLM Handler directly
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from llms_handler import LLMHandler
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# Load environment variables for OpenAI API key
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load_dotenv()
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# Page configuration
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st.set_page_config(
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""", unsafe_allow_html=True)
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# Initialize the LLM Handler (using Streamlit caching)
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@st.cache_resource
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def get_llm_handler():
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"""Create and cache the LLM Handler."""
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return LLMHandler()
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llm_handler = get_llm_handler()
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# Header
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st.title("WizLab Lesson Plan Generator")
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col1, col2 = st.columns(2)
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with col1:
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topic = st.text_input("Topic",
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placeholder="e.g., Lesson Plan to teach Spanish numbers as third language to English Speaking students ")
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age_group_options = ["Elementary (6-11)", "Middle School (12-14)",
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"High School (15-18)", "Adult Learners", "Other"]
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age_group = age_group_selection
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language_options = [
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"English", "中文 (Mandarin Chinese)"
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]
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language_selection = st.selectbox("Select Output Language", language_options)
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LANGUAGE_MAPPING = {
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"中文 (Mandarin Chinese)": "Mandarin Chinese"
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}
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# Then in your language selection code:
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# if language_selection == "Other":
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# language = st.text_input("Specify Language")
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#else:
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# Use mapping if available, otherwise use the base language name
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language = LANGUAGE_MAPPING.get(language_selection, language_selection)
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skills_section = ["Reading", "Writing", "Listening", "Speaking", "Other"]
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if other_skills:
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skill_focus.append(other_skills) # Add user-specified skills
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with col2:
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duration = st.text_input("Duration [in minutes]", placeholder="e.g., 25 minutes")
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proficiency_options = ["Beginner [A1]", "Elementary [A2]", "Intermediate[B1]", "Upper-Intermediate [B2]",
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"Advanced[C1]", "Proficient [C2]", "Other"]
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proficiency_selection = st.selectbox("Proficiency Level [CEFR]", proficiency_options)
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if proficiency_selection == "Other":
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proficiency = st.text_input("Specify Proficiency Level")
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"Mobile Devices", "Internet Access", "None", "Other"]
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tech_selection = st.multiselect("Accessible Tech Resources", tech_options)
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num_students = st.text_input("Number of students", placeholder="e.g., 30 students")
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if "Other" in tech_selection:
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other_tech = st.text_input("Specify Other Technology Requirements")
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return html_content
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# Generate button
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if st.button("Generate Lesson Plan", type="primary"):
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if not topic:
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st.error("Please enter a topic for the lesson plan.")
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else:
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with st.spinner("Generating your lesson plan... This may take a minute or two."):
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# Set default values if not provided
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if not duration:
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duration = "30 minutes"
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language = "English"
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detailed_prompt = f"""
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Create a lesson plan for teaching '{topic}' to {age_group} students, for a
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Duration: {duration},
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Number of students in the class: {num_students},
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Skills to focus in generating lesson plan: {', '.join(skill_focus) if skill_focus else 'All language skills'},
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Proficiency Level [CEFR]: {proficiency},
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Technology Requirements: {', '.join(tech_usage) if tech_usage else 'None'},
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Generate response in {language} Language.
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"""
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# Add debug output to see what's happening
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progress_placeholder = st.empty()
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try:
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# Direct integration with LLM Handler
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# Step 1: Extract and validate input parameters
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progress_placeholder.text("Step 1/4: Extracting and validating inputs...")
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input_data = llm_handler.input_extraction_validation(detailed_prompt)
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progress_placeholder.text("Step 1/4: Input extraction completed")
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# Step 2: Determine lesson plan structure
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progress_placeholder.text("Step 2/4: Determining lesson structure...")
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structure_info = llm_handler.lesson_plan_structure(input_data)
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progress_placeholder.text("Step 2/4: Structure determination completed")
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# Step 3: Select activity templates
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progress_placeholder.text("Step 3/4: Selecting activity templates...")
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activity_info = llm_handler.activity_template_selection(input_data, structure_info)
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progress_placeholder.text("Step 3/4: Activity template selection completed")
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# Step 4: Generate lesson plan
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progress_placeholder.text("Step 4/4: Generating final lesson plan...")
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lesson_plan = llm_handler.lesson_plan_generation(input_data, structure_info, activity_info)
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progress_placeholder.text("Step 4/4: Lesson plan generation completed")
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# Clear the progress placeholder
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progress_placeholder.empty()
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# Notify success
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st.success("Lesson plan generated successfully!")
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# Create tabs for different views
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tab1, tab2 = st.tabs(["Formatted View", "Raw JSON"])
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with tab1:
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st.markdown(format_content(lesson_plan), unsafe_allow_html=True)
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with tab2:
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st.json(lesson_plan)
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# Download button
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st.download_button(
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label="Download Lesson Plan",
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data=json.dumps(lesson_plan, indent=2, ensure_ascii=False),
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# ensure_ascii=False for proper Unicode handling
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file_name=f"lesson_plan_{language}.json",
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mime="application/json"
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)
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except Exception as e:
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st.error(f"An error occurred: {str(e)}")
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st.error("Please check if your OpenAI API key is valid and has sufficient credits.")
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# Footer
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st.markdown("---")
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st.markdown("© WizLab Lesson Plan Generator | powered by AI")
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