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app.py
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from flask import Flask , render_template , request , flash
import pickle
import os
import csv
import json
from datetime import datetime
import pytz
newMedData12 = pickle.load(open('pickle_files/medDataSet.pkl','rb'))
similarity = pickle.load(open('pickle_files/similarityWeightAssign.pkl','rb'))
similaritySideEffect = pickle.load(open('pickle_files/similaritySideEffect.pkl','rb'))
app = Flask(__name__)
# Flash Message
app.secret_key = 'message'
# Path for csv file
csv_folder = 'csv_input_files'
if not os.path.exists(csv_folder):
os.makedirs(csv_folder)
csv_file_path = os.path.join(csv_folder , "user_inputs_data.csv")
# Creating CSV file with Two Columns one with name and another with timestamp
if not os.path.exists(csv_file_path):
with open(csv_file_path, mode='w', newline='') as file:
writer = csv.writer(file)
writer.writerow(['user_input_text','suggested_names','results','timestamp'])
@app.route('/')
def index():
return render_template('home.html')
@app.route('/recommendation')
def recommend_page():
return render_template('recommendation.html')
@app.route('/contact')
def contact_page():
return render_template('contact.html')
@app.route('/recommend_action',methods=['POST'])
def recommendation():
try:
medicine = request.form.get('user_input')
medicine = medicine.strip()
medicine_index = newMedData12[newMedData12['Name'] == medicine].index[0]
distance = similarity[medicine_index]
medicine_list = list(enumerate(distance))
sorted_medicine_list = sorted(medicine_list, reverse=True, key=lambda x: x[1])[1:6]
top_medicines = {}
seen = set()
for i in sorted_medicine_list:
if len(top_medicines) >= 5:
break
if newMedData12.iloc[i[0]].Name not in seen:
top_medicines[newMedData12.iloc[i[0]].Name] = {
'image_url': newMedData12.iloc[i[0]]["image_url"],
'usedFor' : newMedData12.iloc[i[0]].Uses,
'sideEffect' : newMedData12.iloc[i[0]].Side_effects,
'review_score' : newMedData12.iloc[i[0]].score,
'mft' : newMedData12.iloc[i[0]].Manufacturer
}
seen.add(newMedData12.iloc[i[0]].Name)
sorted_top_medicines = dict(sorted(top_medicines.items(), key=lambda item: item[1]['review_score'], reverse=True))
medicine_names = ', '.join(sorted_top_medicines.keys())
sorted_top_medicines_JSON = json.dumps(sorted_top_medicines)
# Storing user inputs into a csv file with current date and time
timeZone = pytz.timezone('Asia/Kolkata')
timestamp = datetime.now(timeZone).strftime('%d-%m-%Y %H:%M:%S')
with open(csv_file_path,mode="a",newline='') as file:
writer = csv.writer(file)
writer.writerow([medicine , medicine_names , sorted_top_medicines_JSON , timestamp])
return render_template("recommendation.html",sorted_top_medicines=sorted_top_medicines)
except Exception as e:
flash("No Such Input Found , please retry with avaiable names in the Dataset , thanks ;-)")
return render_template("recommendation.html", sorted_top_medicines={})
# Side Effect Code ---------------------------------------------------------------------------
@app.route('/recommend_sideEffect',methods=['POST'])
def recommendationSideEffect():
try:
medicine = request.form.get('side_effect')
medicine = medicine.strip()
medicine_index = newMedData12[newMedData12['Name'] == medicine].index[0]
distance = similaritySideEffect[medicine_index]
medicine_list = list(enumerate(distance))
sorted_medicine_list = sorted(medicine_list, reverse=True, key=lambda x: x[1])[1:6]
top_medicines = {}
seen = set()
for i in sorted_medicine_list:
if len(top_medicines) >= 5:
break
if newMedData12.iloc[i[0]].Name not in seen:
top_medicines[newMedData12.iloc[i[0]].Name] = {
'image_url': newMedData12.iloc[i[0]]["image_url"],
'usedFor' : newMedData12.iloc[i[0]].Uses,
'sideEffect' : newMedData12.iloc[i[0]].Side_effects,
'review_score' : newMedData12.iloc[i[0]].score,
'mft' : newMedData12.iloc[i[0]].Manufacturer
}
seen.add(newMedData12.iloc[i[0]].Name)
sorted_top_medicines_side_effects = dict(sorted(top_medicines.items(), key=lambda item: item[1]['review_score'], reverse=True))
medicine_names = ', '.join(sorted_top_medicines_side_effects.keys())
sorted_top_medicines_JSON = json.dumps(sorted_top_medicines_side_effects)
# Storing user inputs into a csv file with current date and time
timeZone = pytz.timezone('Asia/Kolkata')
timestamp = datetime.now(timeZone).strftime('%d-%m-%Y %H:%M:%S')
with open(csv_file_path,mode="a",newline='') as file:
writer = csv.writer(file)
writer.writerow([medicine , medicine_names , sorted_top_medicines_JSON , timestamp])
return render_template("recommendation.html",sorted_top_medicines_side_effects=sorted_top_medicines_side_effects)
except Exception as e:
flash("No Such Input Found , please retry with avaiable names in the Dataset , thanks ;-)")
return render_template("recommendation.html", sorted_top_medicines_side_effects={})
if __name__ == '__main__':
app.run(debug=True)