can anyone solve this error

[TusharaPriya]

from flask import Flask, redirect, url_for, render_template, request, flash
from flask import request
import csv
from bs4 import BeautifulSoup
from msedge.selenium_tools import Edge, EdgeOptions
import pandas as pd
import json
from bs4 import BeautifulSoup as bs
from urllib.request import urlopen as uReq
import time
from bs4 import BeautifulSoup
import requests
app = Flask(name)

@app.route("/", methods=["POST", "GET"])
def home():
if request.method == "POST":
test = []
names = []
flipPrices = []
prodNames = []
info,price = [],[]
url = "https://flipkart.com/search?q="
q = request.form["nm"]
q = q.replace(" ","+")
# response recieved in bytes
resp = requests.get(url+q)
# parsing response content using BeautifulSoup class, so that we can perform operations on it.
parsed_html = bs(resp.content, 'html.parser')
# data cleaning
raw_data = parsed_html.find("script", attrs={"id":"is_script"})
data = raw_data.contents[0].replace("window.INITIAL_STATE = ","").replace(";","")
json_data = json.loads(data)
req_data = json_data["pageDataV4"]["page"]["data"]["10003"] #[10]["widget"]["data"]["products"][3]["productInfo"]
#req_json_data = json_data["seoMeta"]["answerBox"]["data"]["renderableComponents"][0]["value"]["data"]

    data_list = []
    try:
        for i in range(1, len(req_data)):
            d = {}
            jd = req_data[i]["widget"]["data"]["products"]
            # print(len(jd))
            # print("i: ", i, end="\n")
            for j in range(len(jd)):
                jd2 = jd[j]["productInfo"]["value"]

                d["title"] = jd2["titles"]["title"]
                d["keySpecs"] = jd2["keySpecs"]
                d["rating"] = jd2["rating"]["average"]
                d["ratingCount"] = jd2["rating"]["count"]
                d["price"] = jd2["pricing"]["finalPrice"]["value"]
    #                 d["warranty"] = jd2["warrantySummary"]
                d["url"] = jd2["smartUrl"]
            data_list.append(d)

    except:
        pass 
    # dumping data to result.json file
    #     print(list(data_list))
    with open("flipkart"+'.json', 'w') as fp:
        json.dump(data_list, fp)

    # Now let us write our data to csv file
    data_file = open("flipkart"+'.csv', 'w') 

    # create the csv writer object 
    csv_writer = csv.writer(data_file) 

    # Counter variable used for writing  
    # headers to the CSV file 
    count = 0

    for data in data_list:
        if count == 0: 

            # Writing headers of CSV file 
            header = data.keys() 
            csv_writer.writerow(header) 
            count += 1
        # Writing data of CSV file 

        csv_writer.writerow(data.values()) 


    with open('flipkart.csv') as csv_file:
        reader = csv.reader(csv_file, delimiter=',')
        rows = list(reader)
    i,j = 0,2
    while i in range(len(rows)):
        try:
            name = rows[j][0]
            #             name = " ".join(name.split(' ')[0:2])
    #         print(name)
    #         print("name = ",name)
            names.append(name)
            i += 1
            j += 2
        except:
                break


    print("Best results",len(names))
    #     print(names,len(names))
    if len(names) <= 10:
        flipkart_url = "https://www.flipkart.com/search?q=" + q
        print(flipkart_url)
        uClient = uReq(flipkart_url)
        flipkartPage = uClient.read()
        uClient.close()
        flipkart_html = bs(flipkartPage, "html.parser")
        soup = BeautifulSoup(flipkartPage, 'html.parser')
        info = soup.select("[class~=s1Q9rs]")
        if info == []:
            info = soup.select("[class~=IRpwTa]")
        flipPrices = soup.select("[class =_30jeq3]")
        prodNames = [i.get('title') for i in info]
        names = prodNames
        df = pd.DataFrame(list(zip(prodNames, flipPrices)), 
                    columns =['product_name', 'Flipkart_price']) 
        df.to_csv('flipkart.csv')
        print(df)

    else:
        with open('flipkart.csv') as csv_file:
            reader = csv.reader(csv_file, delimiter=',')
            rows = list(reader)
        i,j = 0,2
        while i in range(len(rows)):
            try:
                price = rows[j][4]
    #             price = price[i].text
    #             print("price = ",price)
                flipPrices.append(price)
                i += 1
                j += 2
            except:
                break
        df = pd.DataFrame(list(zip(names, flipPrices)), 
                columns =['Product_name', 'Flipkart_price'])

        print(df)
        df.to_csv('flipkart.csv')

    data_file.close()

    headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}

    amazon=''
    amazonlist = []
    amazonName = []
    i = 0
    while i in range(len(names)):
        print(names[i])
        def amazon(name):
                try:
                    global amazon
                    name = " ".join(name.split(' ')[0:2])
                    name1 = name.replace(" ","-")
                    name2 = name.replace(" ","+")
                    amazon=f'https://www.amazon.in/{name1}/s?k={name2}'
                    res = requests.get(f'https://www.amazon.in/{name1}/s?k={name2}',headers=headers)
                    print("\nSearching in amazon:")
                    soup = BeautifulSoup(res.text,'html.parser')
                    amazon_page = soup.select('.a-color-base.a-text-normal')
                    amazon_page_length = int(len(amazon_page))
                    for i in range(0,amazon_page_length):
                        name = name.upper()
                        amazon_name = soup.select('.a-color-base.a-text-normal')[i].getText().strip().upper()
                        if name in amazon_name[0:20]:
                            amazon_name = soup.select('.a-color-base.a-text-normal')[i].getText().strip().upper()
                            amazon_price = soup.select('.a-price-whole')[i].getText().strip().upper()
                            amazonlist.append(amazon_price)
                            print("Amazon:")
                            print(amazon_name)
                            amazonName.append(amazon_name)
                            print("₹"+amazon_price)
                            print("-----------------------")
                            break
                        else:
                            i+=1
                            i=int(i)
                            if i==amazon_page_length:
                                print("amazon : No product found!")
                                print("-----------------------")
                                amazon_price = '0'
                                amazonlist.append(amazon_price)
                                amazonName.append("No similar product")
                                break

                    return amazon_price
                except:
                    print("amazon: No product found!")
                    print("-----------------------")
                    amazon_price = '0'
                    amazonlist.append(amazon_price)
                    amazonName.append("No similar product")
                return amazon_price
        amazon_price = amazon(names[i])
        amazon=''
        i += 1
    test = flipPrices
    flip = flipPrices
    idk = []
    for i in range(len(flip)):
    #     x = 
        try:
            x = flip[i].text.replace('₹','')
            print(x)
            idk.append(x)
        except:
            idk = test
    df = pd.DataFrame(list(zip(names,idk,amazonName, amazonlist)), 
                columns =["Product_name_Flipkart","Flipkart_price",'Product_name_Amazon', 'Amazon_price'])
    print(df)   
    df.to_csv('flipkartandamazon.csv')
    filename = 'flipkartandamazon.csv'
    data = pd.read_csv(filename, header=0)
    stocklist = list(data.values)
    return render_template('index.html', stocklist=stocklist)
else:
    return render_template("index.html")

@app.route('/stocks')
def Stocks():
key = "YO"
filename = 'flipkartandamazon.csv'
data = pd.read_csv(filename, header=0)
stocklist = list(data.values)
return render_template('stocks.html', stocklist=stocklist, key = key)

@app.route("/")
def user(usr):

return f"<h1>{usr}</h1>"

if name == "main":
from waitress import serve
serve(app,host="0.0.0.0",port=8080)
app.run(debug=True)

error:

• Serving Flask app "main" (lazy loading)
• Environment: production
  WARNING: This is a development server. Do not use it in a production deployment.
  Use a production WSGI server instead.
• Debug mode: on
• Restarting with windowsapi reloader
  INFO:werkzeug: * Restarting with windowsapi reloader
  An exception has occurred, use %tb to see the full traceback.

SystemExit: 1