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| import joblib | |
| from flask import Flask, render_template, request, jsonify,session | |
| from werkzeug.utils import secure_filename | |
| import os | |
| import re | |
| from student_functions import extract_text_from_pdf_s,generate_ai_response,generate_project_idea,generate_project_idea_questions,generate_quiz,generate_response_from_pdf,generate_step_by_step_explanation,study_plan,ConversationBufferMemory,get_first_youtube_video_link,content_translate,summarise_text,content_translate | |
| from teacher_function import evaluate,extract_text_from_image,extract_text_from_pdf,generate_questions_from_text,generate_student_report,generate_timetable_module,cluster_topics,generate_timetable_weak | |
| import shutil | |
| from ai71 import AI71 | |
| import re | |
| from flask import Flask, render_template, request, jsonify,session,current_app,send_from_directory | |
| AI71_API_KEY = "api71-api-652e5c6c-8edf-41d0-9c34-28522b07bef9" | |
| UPLOAD_FOLDER = 'uploads' | |
| ALLOWED_EXTENSIONS = {'pdf', 'jpg', 'jpeg' , 'png'} | |
| app = Flask(__name__) | |
| app.secret_key = 'your_unique_secret_key' # Add this line | |
| app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER | |
| memory = ConversationBufferMemory() | |
| database=joblib.load('database.pkl') | |
| teacher_data=database[0] | |
| student_data=database[1] | |
| def allowed_file(filename): | |
| return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS | |
| eval_str='' | |
| max_marks=10 | |
| def index(): | |
| return render_template('index.html') | |
| def student(): | |
| student = { | |
| 'name': session.get('student_name'), | |
| 'id': session.get('student_id'), | |
| 'school': session.get('student_school'), | |
| 'dob': session.get('student_dob'), | |
| 'email': session.get('student_email'), | |
| 'subjects_interested': session.get('student_subjects_interested', []), | |
| 'subjects_needing_improvement': session.get('student_subjects_needing_improvement', []) | |
| } | |
| return render_template('student.html', student=student) | |
| def student_login(): | |
| data = request.json | |
| name = data.get('name') | |
| password = data.get('password') | |
| # Verify credentials | |
| for student in student_data: | |
| if student['name'] == name and student['password'] == password: | |
| # Set session data | |
| session['student_name'] = student['name'] | |
| session['student_id'] = student.get('id', 'N/A') # If ID is not in data, default to 'N/A' | |
| session['student_school'] = student['school'] | |
| session['student_dob'] = student['dob'] | |
| session['student_email'] = student['email'] | |
| session['student_subjects_interested'] = student['interests'] | |
| session['student_subjects_needing_improvement'] = [student['areas_to_improve']] | |
| return jsonify({'success': True}) | |
| return jsonify({'success': False}) | |
| def teacher_login(): | |
| data = request.json | |
| name = data.get('name') | |
| password = data.get('password') | |
| # Verify credentials | |
| for teacher in teacher_data: | |
| if teacher['name'] == name and teacher['password'] == password: | |
| # Set session data | |
| session['teacher_name'] = teacher['name'] | |
| session['teacher_id'] = teacher['teacher_id'] | |
| session['teacher_school'] = teacher['school'] | |
| session['teacher_dob'] = teacher['date_of_birth'] | |
| session['teacher_email'] = teacher['email'] | |
| session['teacher_subjects_taught'] = teacher['subjects_taught'] | |
| session['teacher_classes'] = teacher['classes'] | |
| session['teacher_performance'] = teacher['teaching_performance'] | |
| session['teacher_qualifications'] = teacher['qualifications'] | |
| session['teacher_years_of_experience'] = teacher['years_of_experience'] | |
| session['weekly_class_performance']= teacher['weekly_class_performance'] | |
| return jsonify({'success': True}) | |
| return jsonify({'success': False}) | |
| def teacher(): | |
| teacher = { | |
| 'name': session.get('teacher_name'), | |
| 'id': session.get('teacher_id'), | |
| 'school': session.get('teacher_school'), | |
| 'dob': session.get('teacher_dob'), | |
| 'email': session.get('teacher_email'), | |
| 'subjects_taught': session.get('teacher_subjects_taught', []), | |
| 'classes': session.get('teacher_classes', []), | |
| 'performance': session.get('teacher_performance', {}), | |
| 'qualifications': session.get('teacher_qualifications', []), | |
| 'years_of_experience': session.get('teacher_years_of_experience', 0), | |
| 'weekly_class_performance': session.get('teacher_weekly_class_performance', {}) | |
| } | |
| return render_template('teacher.html', teacher=teacher) | |
| def student_pdfqa(): | |
| if request.method == 'POST': | |
| file = request.files.get('pdf-file') | |
| if file and allowed_file(file.filename): | |
| filename = secure_filename(file.filename) | |
| file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename) | |
| file.save(file_path) | |
| pdf_text = extract_text_from_pdf_s(file_path) | |
| return jsonify({'message': f'PDF uploaded and processed. You can now ask questions.', 'pdf_text': pdf_text}) | |
| else: | |
| return jsonify({'message': 'Invalid file type. Please upload a PDF.'}), 400 | |
| return render_template('student_pdfqa.html') | |
| def ask_pdf_question(): | |
| data = request.json | |
| query = data['query'] | |
| pdf_text = data['pdf_text'] | |
| response = generate_response_from_pdf(query, pdf_text)[:-6] | |
| return jsonify({'response': response}) | |
| def student_aitutor(): | |
| return render_template('student_aitutor.html') | |
| def chat(): | |
| data = request.json | |
| query = data['message'] | |
| response = generate_ai_response(query) | |
| return jsonify({'response': response}) | |
| def upload_image_for_ocr(): | |
| if 'image-file' not in request.files: | |
| return jsonify({'error': 'No file part'}), 400 | |
| file = request.files['image-file'] | |
| if file.filename == '': | |
| return jsonify({'error': 'No selected file'}), 400 | |
| if file and allowed_file(file.filename): | |
| filename = secure_filename(file.filename) | |
| file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename) | |
| file.save(file_path) | |
| extracted_text = extract_text_from_image(file_path) | |
| ai_response = generate_ai_response(extracted_text) | |
| return jsonify({'ai_response': ai_response}) | |
| return jsonify({'error': 'Invalid file type'}), 400 | |
| def student_projectideas(): | |
| return render_template('student_projectideas.html') | |
| def student_quiz(): | |
| return render_template('student_quiz.html') | |
| def update_student_areas(): | |
| data = request.json | |
| student_id = data.get('student_id') | |
| areas_to_improve = data.get('areas_to_improve') | |
| # Find the student in the database | |
| student = next((s for s in student_data if s['email'] == student_id), None) | |
| if student: | |
| # Update the student's areas to improve | |
| student['areas_to_improve'] = areas_to_improve | |
| return jsonify({'status': 'success'}) | |
| else: | |
| return jsonify({'status': 'error', 'message': 'Student not found'}), 404 | |
| def get_student_profile(): | |
| # For demonstration, assume `student_id` is passed in query parameters | |
| student_id = request.args.get('student_id') | |
| student = next((s for s in student_data if s['email'] == student_id), None) | |
| if student: | |
| return jsonify({ | |
| 'status': 'success', | |
| 'areas_to_improve': student.get('areas_to_improve', []) | |
| }) | |
| else: | |
| return jsonify({'status': 'error', 'message': 'Student not found'}), 404 | |
| import re | |
| import re | |
| def calculate_score_and_grades(): | |
| llm_response=eval_str | |
| # Extract all the marks using a regular expression | |
| marks = re.findall(r':\s*(\d+)', llm_response) | |
| if not marks: | |
| # Handle the case where no marks are found | |
| return 0, 0, 0, 'No grade' | |
| # Calculate total score and maximum possible score | |
| total_score = sum(int(mark[0]) for mark in marks) | |
| max_possible_score = int(max_marks)*len(marks) | |
| # Prevent division by zero | |
| if max_possible_score == 0: | |
| return total_score, max_possible_score, 0, 'Fail' | |
| # Calculate the percentage | |
| percentage = (total_score / max_possible_score) * 100 | |
| # Determine the grade based on the percentage | |
| if percentage > 90: | |
| grade = 'O-grade' | |
| elif 80 <= percentage <= 90: | |
| grade = 'A-grade' | |
| elif 70 <= percentage < 80: | |
| grade = 'B-grade' | |
| elif 60 <= percentage < 70: | |
| grade = 'C-grade' | |
| elif 50 <= percentage < 60: | |
| grade = 'D-grade' | |
| else: | |
| grade = 'Fail' | |
| return total_score, max_possible_score, percentage, grade | |
| def assign_grade(): | |
| data = request.json | |
| result = data['result'] | |
| total_score, max_possible_score, percentage, grade = calculate_score_and_grades() | |
| return jsonify({ | |
| 'total_score': total_score, | |
| 'max_possible_score': max_possible_score, | |
| 'percentage': percentage, | |
| 'grade': grade | |
| }) | |
| def student_reward_points(): | |
| return render_template('student_reward_points.html') | |
| def generate_quiz_route(): | |
| data = request.json | |
| subject = data['subject'] | |
| topic = data['topic'] | |
| count = int(data['num-questions']) | |
| difficulty = data['difficulty'] | |
| quiz = generate_quiz(subject, topic, count, difficulty) | |
| return jsonify({'quiz': quiz}) | |
| def generate_project_idea_route(): | |
| data = request.json | |
| subject = data['subject'] | |
| topic = data['topic'] | |
| plan = data['plan'] | |
| project_idea = generate_project_idea(subject, topic, plan) | |
| return jsonify({'project_idea': project_idea}) | |
| def homework(): | |
| return render_template('homework.html') | |
| def student_courses(): | |
| return render_template('student_courses.html') | |
| def search_youtube(): | |
| data = request.json | |
| query = data['query'] | |
| try: | |
| video_link, video_title = get_first_youtube_video_link(query) | |
| video_id = video_link.split('v=')[1] | |
| return jsonify({ | |
| 'videoId': video_id, | |
| 'videoTitle': video_title | |
| }) | |
| except Exception as e: | |
| return jsonify({'error': f'An error occurred: {str(e)}'}), 500 | |
| def ask_followup_route(): | |
| data = request.json | |
| project_idea = data['project_idea'] | |
| query = data['query'] | |
| response = generate_project_idea_questions(project_idea, query) | |
| return jsonify({'response': response}) | |
| def student_studyplans(): | |
| return render_template('student_studyplans.html') | |
| def generate_study_plan_route(): | |
| data = request.json | |
| subjects = data['subjects'] | |
| hours = data['hours'] | |
| area_lag = data['areaLag'] # Ensure the key matches | |
| goal = data['goal'] | |
| learning_style = data['learningStyle'] | |
| study_plan_text = study_plan(subjects, hours, area_lag, goal) | |
| return jsonify({'study_plan': study_plan_text}) | |
| def student_stepexplanation(): | |
| return render_template('student_stepexplanation.html') | |
| def evaluate_answers(): | |
| data = request.json | |
| questions = data['questions'] | |
| answers = data['answers'] | |
| max_marks = 5 # As per your requirement | |
| evaluations = [] | |
| for question, answer in zip(questions, answers): | |
| if answer.strip() == "": | |
| evaluation = "Description: No answer provided.\nAssigned marks: 0\nTotal marks: 5" | |
| else: | |
| evaluation = evaluate(question, answer, max_marks) | |
| evaluations.append(evaluation) | |
| return jsonify({"evaluations": evaluations}) | |
| def translate(): | |
| data = request.json | |
| text = data.get('text', '') | |
| # Mock translation function | |
| translated_text = content_translate(text) | |
| return jsonify({"translated_text": translated_text}) | |
| def generate_step_by_step_explanation_route(): | |
| data = request.get_json() | |
| question = data['question'] | |
| answer = generate_step_by_step_explanation(question) | |
| return jsonify({'answer': answer}) | |
| def speak(): | |
| return render_template('student_speakai.html') | |
| def generate_ai_timetable(): | |
| academic_topics = request.form['academic_topics'].split(',') | |
| hours_per_day = request.form['hours_per_day'] | |
| clustered_topics = cluster_topics(academic_topics) | |
| special_timetable = generate_timetable_weak(clustered_topics, hours_per_day) | |
| return jsonify({ | |
| 'clustered_topics': clustered_topics, | |
| 'special_timetable': special_timetable | |
| }) | |
| def ai_timetable(): | |
| return render_template('ai_timetable.html') | |
| def summarise_video(): | |
| return render_template('student_summarise_video.html') | |
| def summarize_video_route(): | |
| data = request.json | |
| url = data.get('url') | |
| if url: | |
| try: | |
| summary = summarise_text(url) | |
| return jsonify({'summary': summary}) | |
| except Exception as e: | |
| return jsonify({'error': str(e)}), 500 | |
| else: | |
| return jsonify({'error': 'No URL provided'}), 400 | |
| def generate_questions(): | |
| messages = [ | |
| {"role": "system", "content": "You are a helpful assistant."}, | |
| {"role": "user", "content": ( | |
| "Generate 5 questions for a Math Assignment on 'trigonometry Basics'. " | |
| "Include a mix of both theoretical and numerical questions." | |
| )} | |
| ] | |
| questions = [] | |
| for chunk in AI71(AI71_API_KEY).chat.completions.create( | |
| model="tiiuae/falcon-180b-chat", | |
| messages=messages, | |
| stream=True, | |
| ): | |
| if chunk.choices[0].delta.content: | |
| questions.append(chunk.choices[0].delta.content) | |
| # Join all chunks to create the complete list of questions | |
| complete_questions = ''.join(questions).split('\n') | |
| return jsonify({'questions': complete_questions}) | |
| def generate_timetable(): | |
| data = request.json | |
| hours_per_day = data.get('hours_per_day') | |
| days_per_week = data.get('days_per_week') | |
| semester_end_date = data.get('semester_end_date') | |
| subjects = data.get('subjects', []) | |
| # Input validation | |
| if not hours_per_day or not days_per_week or not semester_end_date or not subjects: | |
| return jsonify({"error": "Missing required parameters"}), 400 | |
| try: | |
| timetable=generate_timetable_module(data,hours_per_day,days_per_week,semester_end_date,subjects) | |
| return jsonify({"timetable": timetable}) | |
| except Exception as e: | |
| return jsonify({"error": str(e)}), 500 | |
| def generate_paper(): | |
| if request.method == 'POST': | |
| no_of_questions = int(request.form['no_of_questions']) | |
| total_marks = int(request.form['total_marks']) | |
| no_of_parts = int(request.form['no_of_parts']) | |
| marks_per_part = int(request.form['marks_per_part']) | |
| test_duration = request.form['test_duration'] | |
| pdf_file = request.files['pdf_file'] | |
| if pdf_file: | |
| # Secure the file name and save the file to the upload folder | |
| filename = secure_filename(pdf_file.filename) | |
| file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename) | |
| pdf_file.save(file_path) | |
| # Extract text from the curriculum PDF | |
| curriculum_text = extract_text_from_pdf(file_path) | |
| # Generate questions | |
| questions = generate_questions_from_text(curriculum_text, no_of_questions, marks_per_part, no_of_parts) | |
| # Optionally, remove the saved file after use | |
| return render_template('teacher_paper_gen.html', questions=questions) | |
| return render_template('teacher_paper_gen.html') | |
| def eval(): | |
| global eval_str | |
| global max_marks | |
| if request.method == 'POST': | |
| input_type = request.form['input_type'] | |
| question_text = "" | |
| answer_text = "" | |
| max_marks = request.form['max_marks'] | |
| if input_type == 'file': | |
| question_file = request.files['question_file'] | |
| answer_file = request.files['answer_file'] | |
| if question_file and answer_file: | |
| question_path = os.path.join(app.config['UPLOAD_FOLDER'], question_file.filename) | |
| answer_path = os.path.join(app.config['UPLOAD_FOLDER'], answer_file.filename) | |
| question_file.save(question_path) | |
| answer_file.save(answer_path) | |
| if question_path.endswith('.pdf'): | |
| question_text = extract_text_from_pdf(question_path) | |
| else: | |
| question_text = extract_text_from_image(question_path) | |
| if answer_path.endswith('.pdf'): | |
| answer_text = extract_text_from_pdf(answer_path) | |
| else: | |
| answer_text = extract_text_from_image(answer_path) | |
| elif input_type == 'text': | |
| question_text = request.form['question_text'] | |
| answer_text = request.form['answer_text'] | |
| evaluation_result = evaluate(question_text, answer_text, max_marks) | |
| eval_str=evaluation_result | |
| print(f"Question Text: {question_text}") # Debugging line | |
| print(f"Answer Text: {answer_text}") # Debugging line | |
| print(f"Evaluation Result: {evaluation_result}") # Debugging line | |
| return render_template('teacher_result.html', result=evaluation_result) | |
| return render_template('teacher_eval.html') | |
| def get_students(): | |
| return jsonify(student_data) | |
| def get_audio_files(): | |
| audio_folder = os.path.join(app.root_path, 'speech') | |
| audio_files = [{'name': file, 'url': f'/speech/{file}'} for file in os.listdir(audio_folder) if | |
| file.endswith('.mp3')] | |
| current_app.logger.info(f"Found audio files: {audio_files}") | |
| return jsonify({'audio_files': audio_files}) | |
| def serve_audio(filename): | |
| return send_from_directory(os.path.join(app.root_path, 'speech'), filename) | |
| def generate_report(): | |
| student_data = request.json | |
| report = generate_student_report( | |
| student_data['name'], | |
| student_data['age'], | |
| student_data['cgpa'], | |
| student_data['course_pursuing'], | |
| student_data['assigned_test_score'], | |
| student_data['ai_test_score'], | |
| student_data['interests'], | |
| student_data['areas_to_improve'], | |
| student_data['courses_taken'] | |
| ) | |
| return jsonify({'report': report}) | |
| if __name__ == '__main__': | |
| app.run(host='0.0.0.0', port=7860, debug=True) | |