Update app.py

app.py

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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()