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| import gradio as gr | |
| from transformers import pipeline | |
| # Step 1: Load the Question Answering Pipeline | |
| qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad") | |
| # Step 2: Define the College Data | |
| college_data = { | |
| "name": "Government Boys Degree College Daulatpur", | |
| "about": """ | |
| The college was notified to work from 16th July 2003 on the directions of the then care-taker Minister for Education, Mr. Khan Muhammad Dahri. | |
| At the beginning, the college had no staff of its own, so it was borrowed from Government Degree College Sakrand. | |
| The college started its classes in the afternoon at Government High School Daulatpur as it had no specific building. | |
| With the help of the EDO Education, the possession of the Government Girls High School (Old) Daulatpur was given to the college. | |
| """, | |
| "extended_about": """ | |
| Government Boys Degree College Daulatpur is one of the leading educational institutions in the region. It aims to provide high-quality education | |
| and a conducive environment for academic excellence. The college offers various undergraduate programs and is committed to the intellectual | |
| and professional growth of its students. It strives to nurture responsible citizens who contribute positively to society. | |
| """, | |
| "programs": ["ADSE-I", "ADSE-II", "ADAA-I", "ADAA-II", "BS (Zoology) (Proposed for this year)"], | |
| "teachers": { | |
| "Islamiat": ["Prof Mahfooz Khan (Associate Prof)", "M. Essa Samego (Lecturer)"], | |
| "Physics": ["Muhammad Aslam Palli (Associate Prof)", "Asif Ali Rajput (Lecturer)"], | |
| "Botany": ["Abdul Rahman Gaincho (Lecturer)"], | |
| "Chemistry": ["Ali Aijaz Dahri (Lecturer)"], | |
| "Math": ["Fida Hussain (Lecturer)"], | |
| "Librarian": ["Zulfiqar Ali (Senior Librarian)"], | |
| "DPE": ["Naseer Ahmed (DPE)"], | |
| }, | |
| "staff": { | |
| "clerks": ["Mr. Younis Unar (Senior Clerk)", "Mr. Muhammad Bughio (Senior Clerk)", "Mr. Dadan Khan (Junior Clerk)"], | |
| "lab_assistants": ["Mr. Rahib Ali Unar (Lab Assistant)", "Mr. Shahbaz Khan (Lab Attendant)"], | |
| "other": ["Mr. Peruaz Ali (Sanitary Worker)"], | |
| }, | |
| "facilities": [ | |
| "Digital library with 20+ computers", | |
| "Parks: Alquran Park and Botany Park with 50+ plants", | |
| "Building: Two-floor building with 24 rooms", | |
| "Labs: Zoology, Botany, Physics, Chemistry", | |
| "Parking area", | |
| "Solar system", | |
| "RO Plant", | |
| ], | |
| "principal": "Prof Irshad Ali Otho", | |
| "rooms": 24, # Replaced 'classes' with 'rooms' | |
| "established": "2003", | |
| "contact": { | |
| "location": "National Highway N6 bypass Daulatpur", | |
| "phone": "+92 300 3003249", | |
| "email": "[email protected]", | |
| "facebook": "https://www.facebook.com/share/19j9Z1iEvz/" | |
| }, | |
| } | |
| # Step 3: Custom Question Logic | |
| def answer_question(question): | |
| # Lowercase the question for simpler matching | |
| question = question.lower() | |
| # Rule-based answers for specific types of questions | |
| if "college name" in question or "what is the name" in question: | |
| return f"The name of the college is {college_data['name']}." | |
| elif "about college" in question or "tell me about the college" in question: | |
| return f"About the college:\n{college_data['about']}\n\n{college_data['extended_about']}" | |
| elif "program" in question or "course" in question: | |
| return f"Programs offered:\n- " + "\n- ".join(college_data["programs"]) | |
| elif "teacher" in question or "faculty" in question or "lecturer" in question: | |
| for subject, teachers in college_data["teachers"].items(): | |
| if subject.lower() in question: | |
| return f"The {subject} lecturer(s): " + ", ".join(teachers) | |
| return ( | |
| "Teachers:\n" + "\n".join( | |
| [f"{subject}: " + ", ".join(teachers) for subject, teachers in college_data["teachers"].items()] | |
| ) | |
| ) | |
| elif "room" in question: | |
| return f"The college has {college_data['rooms']} rooms available." | |
| elif "facility" in question: | |
| return f"Facilities available:\n- " + "\n- ".join(college_data["facilities"]) | |
| elif "principal" in question: | |
| return f"Our Principal is {college_data['principal']}." | |
| elif "staff" in question or "clerk" in question: | |
| clerks = "\n".join(college_data["staff"]["clerks"]) | |
| lab_assistants = "\n".join(college_data["staff"]["lab_assistants"]) | |
| other_staff = "\n".join(college_data["staff"]["other"]) | |
| return f"Clerks:\n{clerks}\n\nLab Assistants:\n{lab_assistants}\n\nOther Staff:\n{other_staff}" | |
| elif "location" in question or "where" in question: | |
| return f"The college is located at {college_data['contact']['location']}." | |
| elif "contact" in question or "email" in question or "phone" in question: | |
| contact_info = college_data["contact"] | |
| return ( | |
| f"Contact Details:\n" | |
| f"- Location: {contact_info['location']}\n" | |
| f"- Phone: {contact_info['phone']}\n" | |
| f"- Email: {contact_info['email']}\n" | |
| f"- Facebook: {contact_info['facebook']}" | |
| ) | |
| elif "establish" in question or "founded" in question or "start" in question: | |
| return f"The college was established in {college_data['established']}." | |
| else: | |
| # Fallback: Use NLP model | |
| context = ( | |
| f"About the college: {college_data['about']}\n" | |
| f"Programs offered: {', '.join(college_data['programs'])}\n" | |
| f"Teachers: {', '.join([f'{subject}: ' + ', '.join(teachers) for subject, teachers in college_data['teachers'].items()])}\n" | |
| f"Facilities: {', '.join(college_data['facilities'])}\n" | |
| f"Principal: {college_data['principal']}\n" | |
| f"Contact: {college_data['contact']['location']}, {college_data['contact']['phone']}, {college_data['contact']['email']}" | |
| ) | |
| try: | |
| result = qa_pipeline(question=question, context=context) | |
| if result["score"] > 0.2: | |
| return result["answer"] | |
| except Exception: | |
| pass | |
| # If everything fails | |
| return ( | |
| "I'm sorry, I couldn't understand your question. You can ask about programs, teachers, facilities, or contact details." | |
| ) | |
| # Step 4: Create Gradio Interface | |
| with gr.Blocks() as app: | |
| gr.Image(value="college_logo.png", label="College Logo", elem_id="logo", interactive=False, show_download_button=False) | |
| # Add other components like text, buttons, etc. | |
| gr.Textbox(label="Ask about the college:") | |
| gr.Button("Submit") | |
| # Section for 'About the College' | |
| with gr.Row(): | |
| gr.Markdown("### About the College") | |
| about_college = gr.Textbox(value=f"{college_data['about']}\n\n{college_data['extended_about']}", | |
| label="About the College", interactive=False) | |
| # Section for 'Contact Us' | |
| with gr.Row(): | |
| gr.Markdown("### Contact Us") | |
| contact_info = gr.Textbox(value=f"Location: {college_data['contact']['location']}\n" | |
| f"Phone: {college_data['contact']['phone']}\n" | |
| f"Email: {college_data['contact']['email']}\n" | |
| f"Facebook: {college_data['contact']['facebook']}", | |
| label="Contact Info", interactive=False) | |
| # Question and Answer section | |
| question = gr.Textbox(label="Ask a question about the college") | |
| answer = gr.Textbox(label="Answer") | |
| question.submit(answer_question, inputs=question, outputs=answer) | |
| # Step 5: Launch the App | |
| app.launch() | |