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import gradio as gr
from utils.quiz_generator import generate_quiz
from utils.chatbot import ask_ai
from utils.summarizer import summarize_text, get_youtube_transcript, extract_text_from_pdf
from utils.translator import translate_text
from utils.plagiarism_checker import check_plagiarism
from utils.weakness_analyzer import analyze_weakness
from utils.engagement_predictor import predict_engagement
from utils.badge import assign_badges
# Chat history for chatbot
chat_history = []
# ------------------- Gradio UI -------------------
with gr.Blocks(title="📚 Smart LMS AI Suite") as demo:
gr.Markdown("# 🎓 Smart LMS AI Suite\nYour AI-powered Learning Assistant 🚀")
with gr.Tabs():
# 1. Quiz Generator
with gr.TabItem("🧠 Quiz Generator"):
with gr.Row():
topic_input = gr.Textbox(label="Paste Topic Content")
num_qs = gr.Slider(1, 10, value=5, label="Number of Questions")
quiz_output = gr.Textbox(label="Generated Quiz")
quiz_button = gr.Button("Generate Quiz")
quiz_button.click(fn=generate_quiz, inputs=[topic_input, num_qs], outputs=quiz_output)
# 2. AI Teaching Assistant
with gr.TabItem("🤖 AI Teaching Assistant"):
with gr.Row():
question_input = gr.Textbox(label="Ask your question")
chatbot_output = gr.Textbox(label="AI Answer")
chat_button = gr.Button("Ask")
def chat_interface(q):
global chat_history
response, chat_history = ask_ai(q, chat_history)
return response
chat_button.click(fn=chat_interface, inputs=question_input, outputs=chatbot_output)
# 3. Summarizer
with gr.TabItem("📄 Summarizer"):
with gr.Row():
summarizer_input = gr.Textbox(lines=4, label="Paste Text to Summarize")
yt_url = gr.Textbox(label="Or Enter YouTube Video URL")
pdf_input = gr.File(label="Or Upload PDF", file_types=[".pdf"])
summary_output = gr.Textbox(label="Summary")
summary_button = gr.Button("Summarize")
def summarize_all(text, url, pdf):
if pdf:
content = extract_text_from_pdf(pdf.name)
elif url:
content = get_youtube_transcript(url)
else:
content = text
return summarize_text(content)
summary_button.click(fn=summarize_all, inputs=[summarizer_input, yt_url, pdf_input], outputs=summary_output)
# 4. Translator
with gr.TabItem("🌍 Translator"):
text_input = gr.Textbox(label="Enter English Text")
lang = gr.Dropdown(choices=["te", "hi", "ta", "bn", "kn", "gu", "ur"], label="Target Language")
translated = gr.Textbox(label="Translated Text")
translate_button = gr.Button("Translate")
translate_button.click(fn=translate_text, inputs=[text_input, lang], outputs=translated)
# 5. Plagiarism Checker
with gr.TabItem("🕵️ Plagiarism Checker"):
with gr.Row():
plag_input1 = gr.Textbox(label="Text 1")
plag_input2 = gr.Textbox(label="Text 2")
plag_output = gr.Textbox(label="Plagiarism Result")
plag_btn = gr.Button("Check")
plag_btn.click(fn=check_plagiarism, inputs=[plag_input1, plag_input2], outputs=plag_output)
# 6. Weakness Analyzer
with gr.TabItem("📉 Weakness Analyzer"):
weakness_file = gr.File(label="Upload Quiz Scores CSV")
weakness_result = gr.Textbox(label="Analysis Result")
weakness_btn = gr.Button("Analyze")
weakness_btn.click(fn=analyze_weakness, inputs=weakness_file, outputs=weakness_result)
# 7. Engagement Predictor
with gr.TabItem("📊 Engagement Predictor"):
engagement_file = gr.File(label="Upload Student Log CSV")
engagement_output = gr.Textbox(label="Prediction Report")
engagement_btn = gr.Button("Predict Engagement")
engagement_btn.click(fn=predict_engagement, inputs=engagement_file, outputs=engagement_output)
# 8. Badge Generator
with gr.TabItem("🏅 Badge Generator"):
badge_file = gr.File(label="Upload Performance CSV")
badge_output = gr.Textbox(label="Badge Report")
badge_btn = gr.Button("Generate Badges")
badge_btn.click(fn=assign_badges, inputs=badge_file, outputs=badge_output)
# 🔁 Launch
demo.launch()
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