what can i do when joining NLP with database to provide nice interaction

Question

import spacy
import mysql.connector
import datetime

# Load English tokenizer, tagger, parser, NER, and word vectors
nlp = spacy.load("en_core_web_sm")

# Connect to MySQL database (replace credentials and database name)
db_connection = mysql.connector.connect(
host="localhost",
user="n ",
password=" ",
database="med_db"
)

# Function to fetch entities from database
def fetch_entities(entity_type):
cursor = db_connection.cursor()
if entity_type == "symptoms":
query = "SELECT name, description FROM symptoms"
elif entity_type == "treatment":
query = "SELECT name, description FROM treatment"
else:
query = "SELECT patient_id, appointment_datetime, doctor_name FROM appointments"
cursor.execute(query)
entities = cursor.fetchall()
cursor.close()
return entities

# Define intent labels
intent_labels = {
"symptoms": ["symptoms", "common symptoms", "symptoms of COVID-19", "flu symptoms"],
"appointments": ["schedule appointment", "book appointment", "reschedule appointment", "cancel appointment",
"check appointments", "make appointment"],
"treatment": ["treat headache", "treat fever", "relieve cough", "soothe sore throat", "manage fatigue",
"antibiotics", "antiviral drugs", "pain relievers", "steroids"]
}

# Function for intent classification and entity recognition
def process_user_query(query):
doc = nlp(query)
intent = "unknown"
entities = {}

for token in doc:
for label, keywords in intent_labels.items():
if token.lower_ in keywords:
intent = label
break

if token.ent_type_:
entity_type = token.ent_type_.lower()
if entity_type not in entities:
entities[entity_type] = []
entities[entity_type].append(token.text)

# Additional logic for appointments
if intent == "unknown":
# Check for appointment-related keywords
appointment_keywords = ["sch

Answer 1

Safar Christopher such a project will not work here on Sololearn as these are sandboxed playgrounds with limited environment...