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