main.py

from huggingface_hub import InferenceClient

import random

from flask import Flask, request, jsonify, make_response
from flask_jwt_extended import JWTManager, create_access_token, jwt_required, get_jwt_identity
from werkzeug.security import generate_password_hash, check_password_hash
import sqlite3

client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")

app = Flask(__name__)

file_path = "mentor.txt"
with open(file_path, "r") as file:
    mentors_data = file.read()

@app.route('/')
def home():
    return jsonify({"message": "Welcome to the Recommendation API!"})

app.config['JWT_SECRET_KEY'] = 123456
jwt = JWTManager(app)

# Create SQLite database
conn = sqlite3.connect('users.db', check_same_thread=False)
c = conn.cursor()
c.execute('''CREATE TABLE IF NOT EXISTS users
             (id INTEGER PRIMARY KEY AUTOINCREMENT, username TEXT UNIQUE, password TEXT)''')

c.execute('''CREATE TABLE IF NOT EXISTS user_details
             (id INTEGER PRIMARY KEY AUTOINCREMENT, user_id INTEGER UNIQUE, full_name TEXT, email TEXT,
             FOREIGN KEY(user_id) REFERENCES users(id))''')
conn.commit()

# Endpoint for user registration
@app.route('/register', methods=['POST'])
def register():
    data = request.get_json()
    username = data.get('username')
    password = data.get('password')
    if not username or not password:
        return jsonify({"message": "Missing username or password"}), 400
    hashed_password = generate_password_hash(password)
    try:
        c.execute("INSERT INTO users (username, password) VALUES (?, ?)", (username, hashed_password))
        conn.commit()
        return jsonify({"message": "User created successfully"}), 201
    except sqlite3.IntegrityError:
        return jsonify({"message": "Username already exists"}), 400

# Endpoint for user login
@app.route('/login', methods=['POST'])
def login():
    data = request.get_json()
    username = data.get('username')
    password = data.get('password')
    if not username or not password:
        return jsonify({"message": "Missing username or password"}), 400
    user = c.execute("SELECT * FROM users WHERE username=?", (username,)).fetchone()
    if user and check_password_hash(user[2], password):
        access_token = create_access_token(identity=username, expires_delta=False)
        return jsonify({"access_token": access_token}), 200
    else:
        return jsonify({"message": "Invalid username or password"}), 401

# Endpoint for storing additional user details
@app.route('/user_details', methods=['POST'])
@jwt_required()
def add_user_details():
    current_user = get_jwt_identity()
    data = request.get_json()
    first_name = data.get('first_name')
    last_name = data.get('last_name')
    school_name = data.get('school_name')
    bachelors_degree = data.get('bachelors_degree')
    masters_degree = data.get('masters_degree')
    certification = data.get('certification')
    activity = data.get('activity')
    country = data.get('country')

    if not all([first_name, last_name, school_name, bachelors_degree, masters_degree, certification, activity, country]):
        return jsonify({"message": "Missing required fields"}), 400

    user = c.execute("SELECT * FROM users WHERE username=?", (current_user,)).fetchone()
    if not user:
        return jsonify({"message": "User not found"}), 404

    user_id = user[0]
    try:
        c.execute("INSERT INTO user_details (user_id, first_name, last_name, school_name, bachelors_degree, "
                  "masters_degree, certification, activity, country) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
                  (user_id, first_name, last_name, school_name, bachelors_degree, masters_degree, certification,
                   activity, country))
        conn.commit()
        return jsonify({"message": "User details added successfully"}), 201
    except sqlite3.IntegrityError:
        return jsonify({"message": "User details already exist"}), 400


def format_prompt(message):
    # Generate a random user prompt and bot response pair
    user_prompt = "UserPrompt"
    bot_response = "BotResponse"

    return f"<s>[INST] {user_prompt} [/INST] {bot_response}</s> [INST] {message} [/INST]"



@app.route('/get_course', methods=['POST'])
@jwt_required()
def recommend():
    current_user = get_jwt_identity()
    temperature = 0.9
    max_new_tokens = 256
    top_p = 0.95
    repetition_penalty = 1.0


    content = request.json
    user_degree = content.get('degree')
    user_stream = content.get('stream')
    user_semester = content.get('semester')

    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )
    prompt = f""" prompt: 
    You need to act like as recommendation engine for course recommendation for a student based on below details.
    Degree: {user_degree}
    Stream: {user_stream}
    Current Semester: {user_semester}
    Based on above details recommend the courses that relate to the above details 
    Note: Output should be list in below format:
    [course1, course2, course3,...]
    Return only answer not prompt and unnecessary stuff, also dont add any special characters or punctuation marks
    """
    formatted_prompt = format_prompt(prompt)

    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=False, details=False, return_full_text=False)
    return jsonify({"ans": stream})


@app.route('/get_mentor', methods=['POST'])
@jwt_required()
def mentor():
    current_user = get_jwt_identity()
    temperature = 0.9
    max_new_tokens = 256
    top_p = 0.95
    repetition_penalty = 1.0

    content = request.json
    user_degree = content.get('degree')
    user_stream = content.get('stream')
    user_semester = content.get('semester')
    courses = content.get('courses')

    temperature = float(temperature)
    if temperature < 1e-2:
        temperature = 1e-2
    top_p = float(top_p)

    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )
    prompt = f""" prompt:
    You need to act like as recommendataion engine for mentor recommendation for student based on below details also the list of mentors with their experience is attached.
    Degree: {user_degree}
    Stream: {user_stream}
    Current Semester: {user_semester}
    courses opted:{courses}
    Mentor list= {mentors_data}
    Based on above details recommend the mentor that realtes to above details 
    Note: Output should be list in below format:
    [mentor1,mentor2,mentor3,...]
    Return only answer not prompt and unnecessary stuff, also dont add any special characters or punctuation marks
    """
    formatted_prompt = format_prompt(prompt)

    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=False, details=False, return_full_text=False)
    return jsonify({"ans": stream})

if __name__ == '__main__':
    app.run(debug=True)