Spaces:
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| # Step 2: Import libraries | |
| import gradio as gr | |
| from transformers import pipeline | |
| # Step 3: Define College Data | |
| college_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. | |
| """ | |
| faculty_data = """ | |
| 1. Prof Mahfooz Khan (Associate Prof, Islamiat) | |
| 2. Muhammad Aslam Palli (Associate Prof, Physics) | |
| 3. Abdul Rahman Gaincho (Botany) | |
| 4. M. Essa Samego (Lecturer, Islamiat) | |
| 5. Ali Aijaz Dahri (Lecturer, Chemistry) | |
| 6. Asif Ali Rajput (Lecturer, Physics) | |
| 7. Fida Hussain (Lecturer, Math) | |
| 8. Zulfiqar Ali (Senior Librarian) | |
| """ | |
| facilities = """ | |
| Facilities available: | |
| 1. Digital library with 20+ computers | |
| 2. Parks: Alquran Park and Botany Park with 50+ plants | |
| 3. Labs: Zoology, Botany, Physics, Chemistry | |
| 4. Parking area | |
| 5. Solar system and RO Plant | |
| """ | |
| # Step 4: Define College Dataset (from your data dictionary) | |
| # Define the dataset | |
| data = { | |
| "Questions": [ | |
| "tell me name of college?", | |
| "tell me establish of college?", | |
| "who is principal of college?", | |
| "what a programs in college?", | |
| "what a programs in college?", | |
| "what a programs in college?", | |
| "what a programs in college?", | |
| "what a programs in college?", | |
| "where is located?", | |
| "islamiat teacher?", | |
| "physics teacher?", | |
| "botany teacher?", | |
| "islamiat teacher?", | |
| "chemistry teacher?", | |
| "physics teacher?", | |
| "math teacher?", | |
| "who is librarian", | |
| "who is DPE", | |
| "lab assistant?", | |
| "clerk?", | |
| "clerk?", | |
| "clerk?", | |
| "lab assistant?", | |
| "lab assistant?", | |
| "lab assistant?", | |
| "who is sanitary worker?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| "facilities?", | |
| ], | |
| "Category": [ | |
| "College Name", | |
| "Established", | |
| "Principal", | |
| "Programs", | |
| "Programs", | |
| "Programs", | |
| "Programs", | |
| "Programs", | |
| "Location", | |
| "Teaching Staff", | |
| "Teaching Staff", | |
| "Teaching Staff", | |
| "Teaching Staff", | |
| "Teaching Staff", | |
| "Teaching Staff", | |
| "Teaching Staff", | |
| "Teaching Staff", | |
| "Teaching Staff", | |
| "Non-Teaching Staff", | |
| "Non-Teaching Staff", | |
| "Non-Teaching Staff", | |
| "Non-Teaching Staff", | |
| "Non-Teaching Staff", | |
| "Non-Teaching Staff", | |
| "Non-Teaching Staff", | |
| "Non-Teaching Staff", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| "Facilities", | |
| ], | |
| "Name": [ | |
| "Government Boys Degree College Daulatpur", | |
| "2003", | |
| "Prof Irshad Ali Otho", | |
| "ADSE-I", | |
| "ADSE-II", | |
| "ADAA-", | |
| "ADAA", | |
| "(Zoology),Proposed this year,", | |
| "Bypass Daulatpur", | |
| "Prof Mahfooz Khan", | |
| "Muhammad Aslam Palli", | |
| "Abdul Rahman Gaincho", | |
| "M. Essa Samego", | |
| "Ali Aijaz Dahri", | |
| "Asif Ali Rajput", | |
| "Fida Hussain", | |
| "Zulfiqar Ali", | |
| "Naseer Ahmed", | |
| "Mr Abear Lund", | |
| "Mr Younis Unar", | |
| "Mr Muhammad Bughio", | |
| "Mr Dadan Khan,", | |
| "Mr Rahib Ali Unar", | |
| "Mr M Saleem Unar", | |
| "Mr Shahbaz Khan", | |
| "Mr Peruaz Ali", | |
| "Digital Library", | |
| "Parks", | |
| "Building", | |
| "Zoology Lab", | |
| "Botany Lab", | |
| "Physics Lab", | |
| "Chemistry Lab", | |
| "Parking Area", | |
| "Solar System", | |
| "RO Plant", | |
| ], | |
| "Designation": [ | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "Associate Professor", | |
| "Associate Professor", | |
| "Lecturer", | |
| "Lecturer", | |
| "Lecturer", | |
| "Lecturer", | |
| "Lecturer", | |
| "Senior Librarian", | |
| "DPE", | |
| "Assistant", | |
| "Senior Clerk", | |
| "Senior Clerk", | |
| "Junior Clerk", | |
| "Lab Assistant", | |
| "Lab Attendant", | |
| "Lab Attendant", | |
| "Sanitary Worker", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| ], | |
| "Subject/Details": [ | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "Islamiat", | |
| "Physics", | |
| "Botany", | |
| "Islamiat", | |
| "Chemistry", | |
| "Physics", | |
| "Math", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "NA", | |
| "20+ Computers", | |
| "Alquran Park and Botany Park with 50+ plats", | |
| "Two-floor building with 24 rooms", | |
| "Available", | |
| "Available", | |
| "Available", | |
| "Available", | |
| "Available", | |
| "Available", | |
| "Available", | |
| ], | |
| } | |
| # Print the data (optional) | |
| #print(data) | |
| # Step 5: Define a Question-Answering Model (Hugging Face) | |
| qa_model = pipeline("question-answering", model="deepset/roberta-base-squad2") | |
| # Helper function for answering dataset questions | |
| def get_predefined_answer(question): | |
| for q, ans in zip(data["Questions"], data["Answers"]): | |
| if question.lower() in q.lower(): | |
| return ans | |
| return "Sorry, I don't have an answer for that. Please ask a different question." | |
| # Define answer query function with dataset context | |
| def answer_query(question): | |
| predefined_answer = get_predefined_answer(question) | |
| if predefined_answer != "Sorry, I don't have an answer for that. Please ask a different question.": | |
| return predefined_answer | |
| else: | |
| # Fallback to model-based answer if question is not predefined | |
| context = f"{college_about}\n\n{faculty_data}\n\n{facilities}" | |
| response = qa_model(question=question, context=context) | |
| return response['answer'] | |
| # Step 6: Create Gradio Interface | |
| with gr.Blocks(theme=gr.themes.Monochrome()) as app: | |
| gr.Markdown("## Government Boys Degree College Daulatpur") | |
| gr.Markdown("### Welcome to our College Information RAG App") | |
| gr.Image("college_logo.png", label="College Logo") # Upload your logo as college_logo.png | |
| with gr.Tabs(): | |
| with gr.Tab("About College"): | |
| gr.Markdown(college_about) | |
| with gr.Tab("Faculty and Staff"): | |
| gr.Markdown(faculty_data) | |
| with gr.Tab("Facilities"): | |
| gr.Markdown(facilities) | |
| with gr.Tab("Ask a Question"): | |
| question = gr.Textbox(label="Ask about the college") | |
| answer = gr.Textbox(label="Answer") | |
| question.submit(answer_query, inputs=question, outputs=answer) | |
| with gr.Tab("Predefined Data"): | |
| predefined_data = "\n".join([f"{q} - Category: {cat}, Name: {name}, Designation: {desig}, Details: {details}" | |
| for q, cat, name, desig, details in zip(data["Questions"], data["Category"], data["Name"], data["Designation"], data["Subject/Details"])]) | |
| gr.Markdown(predefined_data) | |
| with gr.Tab("Contact Us"): | |
| gr.Markdown("**Contact Details:**\n- Location: National Highway N6 bypass Daulatpur\n- Phone: +92 300 3003249\n- Email: [email protected]") | |
| gr.Markdown("[Visit our Facebook Page](https://www.facebook.com/share/19j9Z1iEvz/)") | |
| gr.Markdown("### Made by Musawir Manzoor") | |
| # Step 7: Launch the App | |
| app.launch() | |