import gradio as gr import requests import os # ------------------ GROQ SETTINGS ------------------ GROQ_API_KEY = os.getenv("GROQ_API_KEY") GROQ_MODEL = "llama3-70b-8192" def query_gpt(prompt): headers = { "Authorization": f"Bearer {GROQ_API_KEY}", "Content-Type": "application/json" } data = { "model": GROQ_MODEL, "messages": [{"role": "user", "content": prompt}] } response = requests.post("https://api.groq.com/openai/v1/chat/completions", json=data, headers=headers) return response.json()['choices'][0]['message']['content'] # ------------------ SYLLABUS DATA ------------------ class_subject_chapters = { "9": { "Physics": ["Introduction to Physics", "Kinematics", "Dynamics", "Turning Effect of Forces", "Gravitation", "Work and Energy", "Properties of Matter", "Thermal Properties of Matter", "Transfer of Heat"], "Biology": ["Introduction to Biology", "Solving a Biological Problem", "Biodiversity", "Cells and Tissues", "Cell Cycle", "Enzymes", "Bioenergetics", "Nutrition", "Transport"], "Chemistry": ["Fundamentals of Chemistry", "Structure of Atoms", "Periodic Table", "Structure of Molecules", "Physical States of Matter", "Solutions", "Electrochemistry", "Chemical Reactivity"] }, "10": { "Physics": ["Simple Harmonic Motion and Waves", "Sound", "Geometrical Optics", "Electrostatics", "Current Electricity", "Electromagnetism", "Basic Electronics", "Information and Communication Technology", "Atomic and Nuclear Physics"], "Biology": ["Gaseous Exchange", "Homeostasis", "Coordination and Control", "Support and Movement", "Reproduction", "Inheritance", "Man and His Environment", "Biotechnology", "Pharmacology"], "Chemistry": ["Chemical Equilibrium", "Acids, Bases and Salts", "Organic Chemistry", "Hydrocarbons", "Biochemistry", "Environmental Chemistry", "Chemical Industries"] }, "11": { "Physics": ["Measurements", "Vectors and Equilibrium", "Motion and Force", "Work and Energy", "Circular Motion", "Fluid Dynamics", "Oscillations", "Waves", "Physical Optics", "Thermodynamics"], "Biology": ["Introduction to Biology", "Biological Molecules", "Enzymes", "The Cell", "Cell Cycle", "Variety of Life", "Kingdom Prokaryotae", "Kingdom Protista", "Kingdom Fungi", "Kingdom Plantae", "Kingdom Animalia"], "Chemistry": ["Basic Concepts", "Experimental Techniques", "Gases", "Liquids and Solids", "Atomic Structure", "Chemical Bonding", "Thermochemistry", "Chemical Equilibrium", "Ionic Equilibrium", "Redox Reactions"] }, "12": { "Physics": ["Electrostatics", "Current Electricity", "Electromagnetism", "Electromagnetic Induction", "Alternating Current", "Physics of Solids", "Electronics", "Dawn of Modern Physics", "Atomic Spectra", "Nuclear Physics"], "Biology": ["Homeostasis", "Support and Movement", "Coordination and Control", "Reproduction", "Growth and Development", "Chromosomes and DNA", "Biotechnology", "Evolution", "Ecosystem", "Some Major Ecosystems"], "Chemistry": ["Periodic Classification", "Transition Elements", "Chemical Reactivity", "Alcohols and Phenols", "Aldehydes and Ketones", "Carboxylic Acids", "Amines", "Polymers", "Biochemistry", "Environmental Chemistry"] } } # ------------------ FILE READER ------------------ def read_uploaded_file(file): if file is None: return "" if file.name.endswith(".txt"): return file.read().decode("utf-8") elif file.name.endswith(".pdf"): from PyPDF2 import PdfReader reader = PdfReader(file) return "\n".join(page.extract_text() for page in reader.pages if page.extract_text()) elif file.name.endswith(".docx"): import docx doc = docx.Document(file) return "\n".join(p.text for p in doc.paragraphs) else: return "Unsupported file format. Please upload a PDF, DOCX, or TXT file." # ------------------ MAIN BOT FUNCTION ------------------ def tutor_bot(mode, selected_class, selected_subject, selected_chapter, action_type, uploaded_file): if mode == "File Upload Mode" and uploaded_file is not None: file_text = read_uploaded_file(uploaded_file) if not file_text.strip(): return "Could not read text from the uploaded file." prompt = f"Based on the following content, {action_type.lower()}: \n\n{file_text[:4000]}" # keep it under token limits gpt_response = query_gpt(prompt) return gpt_response elif mode == "Syllabus Mode": if not selected_class or not selected_subject or not selected_chapter: return "Please select class, subject, and chapter." prompt = f"The user is studying in Class {selected_class}. Give a detailed response for the chapter '{selected_chapter}' in the subject '{selected_subject}'." if action_type == "Summarize Important Points": prompt = f"Summarize the key points of the chapter '{selected_chapter}' from Class {selected_class} {selected_subject}." elif action_type == "Generate MCQs": prompt = f"Create 5 multiple choice questions (MCQs) with 4 options each for the chapter '{selected_chapter}' from Class {selected_class} {selected_subject}." elif action_type == "Simplify Concepts": prompt = f"Explain in very simple terms the important concepts from the chapter '{selected_chapter}' from Class {selected_class} {selected_subject} for a 14-year-old student." gpt_response = query_gpt(prompt) search_query = f"{selected_class} {selected_subject} {selected_chapter} in Urdu" youtube_link = f"https://www.youtube.com/results?search_query={search_query.replace(' ', '+')}" gpt_response += f"\n\nšŸŽ„ **Watch this topic on YouTube:** [Click here]({youtube_link})" return gpt_response return "Invalid mode or missing input." # ------------------ HANGMAN GAME ------------------ def generate_question_answer(class_level, subject, chapter): prompt = f"Give one short quiz question and a one-word answer from the chapter '{chapter}' in Class {class_level} {subject}. Format:\nQuestion: ...\nAnswer: ..." result = query_gpt(prompt) lines = result.strip().split("\n") question = "" answer = "" for line in lines: if line.lower().startswith("question:"): question = line.split(":", 1)[1].strip() elif line.lower().startswith("answer:"): answer = line.split(":", 1)[1].strip().lower() answer = ''.join(filter(str.isalpha, answer)) return question, answer def start_hangman_game(class_level, subject, chapter): question, answer = generate_question_answer(class_level, subject, chapter) return question, "_" * len(answer), "", 6, answer, [] def guess_letter(letter, answer, current_display, wrong_guesses_left, guessed_letters): letter = letter.lower() if letter in guessed_letters or len(letter) != 1: return current_display, f"You already guessed '{letter}' or invalid guess.", wrong_guesses_left, guessed_letters guessed_letters.append(letter) if letter in answer: new_display = "".join([letter if answer[i] == letter else current_display[i] for i in range(len(answer))]) if "_" not in new_display: return new_display, "šŸŽ‰ You won!", wrong_guesses_left, guessed_letters return new_display, f"āœ… Correct guess!", wrong_guesses_left, guessed_letters else: wrong_guesses_left -= 1 if wrong_guesses_left == 0: return current_display, f"āŒ Game over! The correct word was '{answer}'.", wrong_guesses_left, guessed_letters return current_display, f"āŒ Wrong guess! {wrong_guesses_left} attempts left.", wrong_guesses_left, guessed_letters # ------------------ GRADIO UI ------------------ with gr.Blocks(title="AI Textbook Tutor") as app: with gr.Tab("šŸ“˜ Tutor"): gr.Markdown("## šŸ“˜ AI Textbook Tutor\nChoose a mode to either upload your file or select chapter-wise content to get summaries, MCQs, or simplified explanations.") mode = gr.Radio(["Syllabus Mode", "File Upload Mode"], label="Select Mode", value="Syllabus Mode") with gr.Row(): class_dropdown = gr.Dropdown(label="Class", choices=list(class_subject_chapters.keys())) subject_dropdown = gr.Dropdown(label="Subject") chapter_dropdown = gr.Dropdown(label="Chapter") file_input = gr.File(label="Upload File (PDF, DOCX, TXT)", file_types=[".pdf", ".docx", ".txt"]) action_dropdown = gr.Radio(["Summarize Important Points", "Generate MCQs", "Simplify Concepts"], label="Task", value="Summarize Important Points") run_button = gr.Button("Run Tutor šŸ§ ") output_box = gr.Markdown() def update_subjects(selected_class): return gr.update(choices=list(class_subject_chapters[selected_class].keys()), value=None) def update_chapters(selected_class, selected_subject): try: chapters = class_subject_chapters[selected_class][selected_subject] return gr.update(choices=chapters, value=None) except Exception as e: return gr.update(choices=[], value="Error") def toggle_ui(selected_mode): if selected_mode == "File Upload Mode": return ( gr.update(visible=False), # Class gr.update(visible=False), # Subject gr.update(visible=False), # Chapter gr.update(visible=True) # File input ) else: return ( gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=False) ) class_dropdown.change(update_subjects, inputs=class_dropdown, outputs=subject_dropdown) subject_dropdown.change(update_chapters, inputs=[class_dropdown, subject_dropdown], outputs=chapter_dropdown) mode.change(toggle_ui, inputs=mode, outputs=[class_dropdown, subject_dropdown, chapter_dropdown, file_input]) run_button.click( tutor_bot, inputs=[mode, class_dropdown, subject_dropdown, chapter_dropdown, action_dropdown, file_input], outputs=output_box ) with gr.Tab("šŸŽÆ Hangman Game"): with gr.Row(): class_level_hg = gr.Dropdown(label="Class", choices=list(class_subject_chapters.keys())) subject_hg = gr.Textbox(label="Subject") chapter_hg = gr.Textbox(label="Chapter") start_btn = gr.Button("Start Hangman Game") question_display = gr.Textbox(label="Question", interactive=False) word_display = gr.Textbox(label="Word", interactive=False) feedback_display = gr.Textbox(label="Feedback", interactive=False) guess_input = gr.Textbox(label="Guess a letter") guess_btn = gr.Button("Guess") wrong_guesses_left = gr.State(6) correct_answer = gr.State("") guessed_letters = gr.State([]) start_btn.click(fn=start_hangman_game, inputs=[class_level_hg, subject_hg, chapter_hg], outputs=[question_display, word_display, feedback_display, wrong_guesses_left, correct_answer, guessed_letters]) guess_btn.click(fn=guess_letter, inputs=[guess_input, correct_answer, word_display, wrong_guesses_left, guessed_letters], outputs=[word_display, feedback_display, wrong_guesses_left, guessed_letters]) app.launch()