Duplicate from TNR-5/chatorO

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+geckodriver filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -0,0 +1,133 @@
+# Use the official Python 3.9 image as the base image
+FROM python:3.9
+
+# Expose the port
+EXPOSE 7860
+
+# Keeps Python from generating .pyc files in the container
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# Turns off buffering for easier container logging
+ENV PYTHONUNBUFFERED=1
+
+# Set the PYNGROK_CONFIG environment variable
+ENV PYNGROK_CONFIG /tmp/pyngrok.yml
+
+# Set the NGROK_PATH environment variable to a writable location
+ENV NGROK_PATH /tmp/ngrok
+
+# Copy requirements.txt into the container
+COPY requirements.txt .
+
+# RUN apt-get update 
+# RUN apt-get install -y wget
+# RUN wget -q https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
+# RUN apt-get install ./google-chrome-stable_current_amd64.deb -y
+
+
+# RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add -
+# RUN sh -c 'echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google-chrome.list'
+# RUN apt-get -y update
+# RUN apt-get install -y google-chrome-stable
+
+# # install chromedriver
+# RUN apt-get install -yqq unzip
+# RUN wget -O /tmp/chromedriver.zip http://chromedriver.storage.googleapis.com/`curl -sS chromedriver.storage.googleapis.com/LATEST_RELEASE`/chromedriver_linux64.zip
+# RUN unzip /tmp/chromedriver.zip chromedriver -d /usr/local/bin/
+
+
+
+
+
+# RUN apt install wget -y
+# RUN wget https://github.com/mozilla/geckodriver/releases/download/v0.32.0/geckodriver-v0.32.0-linux64.tar.gz
+# RUN tar -xzvf geckodriver-v0.32.0-linux64.tar.gz -C /usr/local/bin
+# RUN chmod +x /usr/local/bin/geckodriver
+# RUN geckodriver -V
+
+
+# RUN apt install firefox-esr -y
+# RUN apt-get install firefox-geckodriver
+
+# Upgrade pip and install the required packages
+RUN pip install --upgrade pip && \
+    pip install -r requirements.txt
+
+# Install sudo and create the necessary directories before copying the files
+RUN apt-get update && \
+    apt-get install -y sudo && \
+    mkdir -p /code/image
+
+# Creates a non-root user with an explicit UID and adds permission to access the /code folder
+RUN adduser -u 5678 --disabled-password --gecos "" appuser && \
+    usermod -aG sudo appuser && \
+    usermod -aG root appuser && \
+    chown -R appuser:appuser /code
+
+# Create the pyngrok bin directory and set the ownership and permissions for appuser
+RUN mkdir -p /usr/local/lib/python3.9/site-packages/pyngrok/bin && \
+    chown -R appuser:appuser /usr/local/lib/python3.9/site-packages/pyngrok/bin && \
+    chmod -R 777 /usr/local/lib/python3.9/site-packages/pyngrok/bin
+
+RUN mkdir -p /.ngrok2 && \
+    chown -R appuser:appuser /.ngrok2 && \
+    chmod -R 777 /.ngrok2
+
+RUN apt-get update && \
+    apt-get install -y curl
+
+RUN echo "deb http://deb.debian.org/debian/ unstable main contrib non-free" >> /etc/apt/sources.list.d/debian.list
+
+
+# RUN apt install firefox-esr && \
+#     apt install geckodriver
+
+# Set the working directory and copy the files
+WORKDIR /code
+
+# Set the ownership and permissions for the /code directory and its contents
+RUN chown -R appuser:appuser /code && \
+    chmod -R 777 /code
+
+COPY . /code
+
+# RUN chown -R appuser:appuser /code/data.csv && \
+#     chmod -R 777 /code/data.csv
+
+# Copy the pyngrok.yml configuration file
+COPY pyngrok.yml /tmp/pyngrok.yml
+
+# Set the TRANSFORMERS_CACHE environment variable to a cache directory inside /tmp
+ENV TRANSFORMERS_CACHE /tmp/transformers_cache
+ENV TORCH_HOME /tmp/torch_cache
+
+USER appuser
+
+
+RUN git clone https://github.com/rphrp1985/gpt4f
+# WORKDIR /gpt4f
+# COPY . /gpt4f
+# RUN cd gpt4f
+# RUN ls
+
+# cp -R / /root/dest-folder
+RUN cp -R gpt4f/* /code
+RUN ls
+CMD python run.py
+
+
+
+
+
+
+
+# Start the application using pyngrok
+# CMD python main.py
+# Get the public IP address and display it
+# RUN curl -s https://api.ipify.org | xargs echo "Public IP:"
+RUN pip install gunicorn
+
+# Start the Uvicorn server
+# ENTRYPOINT ["python", "main.py"]
+# CMD ["sh", "-c", "python main.py & sleep infinity"]
+CMD ["gunicorn", "--bind",  "0.0.0.0:7860","run:app"]

README.md

@@ -0,0 +1,11 @@
+---
+title: gpt4f
+emoji: ♾️💬
+colorFrom: indigo
+colorTo: yellow
+sdk: docker
+pinned: false
+duplicated_from: TNR-5/chatorO
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,434 @@
+import io
+from fastapi import FastAPI, File, UploadFile
+
+import subprocess
+import os
+import requests
+import random
+
+import shutil
+import json
+# from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+from pydantic import BaseModel
+from typing import Annotated
+
+from fastapi import Form
+
+
+import selenium
+
+from selenium import webdriver
+from selenium.webdriver import ChromeOptions
+from selenium.webdriver.chrome.service import Service
+import threading
+import random
+import string
+import time
+
+
+# from selenium.webdriver.firefox.options import Options
+
+# options = FirefoxOptions()
+# options.headless = True
+
+# service = Service()
+
+
+# driver = webdriver.Firefox(options= options,service=service)
+# driver.get("https://yuntian-deng-chatgpt.hf.space/")
+
+
+
+
+# driver.get("https://yuntian-deng-chatgpt.hf.space/")
+
+
+class Query(BaseModel):
+    text: str
+    host:str
+
+   
+
+
+from fastapi import FastAPI, Request, Depends, UploadFile, File
+from fastapi.exceptions import HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
+
+
+app = FastAPI()
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=['*'],
+    allow_credentials=True,
+    allow_methods=['*'],
+    allow_headers=['*'],
+)
+
+
+# cred = credentials.Certificate('key.json')
+# app1 = firebase_admin.initialize_app(cred)
+# db = firestore.client()
+# data_frame = pd.read_csv('data.csv')
+
+from selenium.webdriver.common.by import By
+from pymongo.mongo_client import MongoClient
+
+@app.on_event("startup")
+async def startup_event():
+    print("on startup")
+    
+    
+    # t = threading.Thread(target=makeqimg)  
+    # t.start()
+
+
+
+
+
+mycol = None
+
+
+@app.post("/url")
+async def get_url(request:  Request ):
+    return "k"
+   
+    # data = await request.json()
+    # text = data['url']
+    # mongo_url=text
+    # print("mongo url ",text)
+    # global mycol
+    # if mycol==None:
+    #     myclient = MongoClient(mongo_url)
+
+    #     try:
+    #         myclient.admin.command('ping')
+    #         print("Pinged your deployment. You successfully connected to MongoDB!")
+    #     except Exception as e:
+    #         print(e)
+
+    #     mydb = myclient['open-ai-api-keys']
+        
+    #     mycol= mydb['key']
+    # extract()
+
+
+
+
+def extract():
+    options = ChromeOptions()
+    options.add_argument('--no-sandbox')
+    options.add_argument('-headless')
+    service = Service()
+    driver = webdriver.Chrome(options= options,service=service)
+    
+    
+    global mycol
+    # global driver
+    
+    if True:
+        # time.sleep(60)
+        try:
+            driver.get("https://talkai.info/chat/") 
+            element = driver.find_element(By.CSS_SELECTOR,".chat")
+            api_key = element.get_attribute("data-api-key")
+            dict={"key":"open-ai"}
+            mycol.delete_one(dict)
+            dict={"key":"open-ai","value":api_key}
+            mycol.insert_one(dict)
+            print(api_key)
+            driver.delete_all_cookies()
+            driver.quit()
+            
+        except Exception as e: 
+            print('error in extract ',e)
+            pass
+        # time.sleep(60)
+
+    
+
+from queue import Queue
+chatq = Queue()
+imgq= Queue()
+
+
+def makeqchat():
+
+    while chatq.qsize()<2:
+        print("appending in chat queue")
+        options = ChromeOptions()
+        options.add_argument('--no-sandbox')
+        options.add_argument('-headless')
+        service = Service()
+        driver = webdriver.Chrome(options= options,service=service)
+        driver.get("https://talkai.info/chat/")  
+        chatq.put(driver)
+        
+        
+
+def makeqimg():
+
+    while imgq.qsize()<2:
+        print("appending in img queue")
+        options = ChromeOptions()
+        options.add_argument('--no-sandbox')
+        options.add_argument('-headless')
+        service = Service()
+        driver = webdriver.Chrome(options= options,service=service)
+        driver.get("https://talkai.info/image/")  
+        imgq.put(driver)
+        
+        
+
+
+
+
+
+@app.post("/")
+async def get_answer(request: Request ):
+    data = await request.json()
+    
+    text = data['text']
+    host= ''
+
+    temperature=-1
+
+    try:
+        temperature= data['temperature']
+        temperature= float(temperature)
+        temperature= round(temperature,1)
+        
+    except:
+        print("No temperature")
+        
+
+    # N = 20
+    # res = ''.join(random.choices(string.ascii_uppercase +
+    #                          string.digits, k=N))
+    # res= res+ str(time.time())
+
+    id= ''
+    
+    
+    # t = threading.Thread(target=do_ML, args=(id,text,host,0))  
+    # t.start()
+
+    res= do_ML(id,text,host,0,temperature)
+    
+
+    dict={"ChatGPT":res}
+    # dict= {"id":id}
+    
+    
+    return JSONResponse(dict)
+
+
+
+
+
+
+def do_ML(id:str,text:str,host:str, trycount:int,temperature:float):
+ 
+    try:
+        starttime=time.time()
+        options = ChromeOptions()
+        options.add_argument('--no-sandbox')
+        options.add_argument('-headless')
+        service = Service()
+        driver = webdriver.Chrome(options= options,service=service)
+        driver.get("https://talkai.info/chat/")  
+        if temperature>=0 and temperature<=2:
+            try:
+                print("setting temperature ",temperature)
+                while True:
+                    currtime= time.time()
+                    if(currtime>starttime+10):
+                        return "Requested Could not be proceed"
+            
+                    try:
+                        setting_button = driver.find_element(By.ID, "openSettings")
+                        setting_button.click()
+                        break
+                    except:
+                        time.sleep(0.2)
+
+                while True:
+                    currtime= time.time()
+                    if(currtime>starttime+10):
+                        return "Requested Could not be proceed"
+                    try:
+                        input_element = driver.find_element(By.CLASS_NAME,"styled-slider")
+                        new_value = temperature
+                        driver.execute_script("arguments[0].value = arguments[1]", input_element, new_value)
+                        break
+                    except:
+                        time.sleep(0.2)
+                while True:
+                    currtime= time.time()
+                    if(currtime>starttime+10):
+                        return "Requested Could not be proceed"
+                    try:
+                        confirm_button = driver.find_element(By.CLASS_NAME, "settingsButtonConfirm")
+                        confirm_button.click()
+                        break
+                    except:
+                        time.sleep(0.2)
+            except:
+                print("could not set temperature")
+
+
+        while True:
+            currtime= time.time()
+            if(currtime>starttime+10):
+                return "Requested Could not be proceed"
+            try:
+                textarea = driver.find_element(By.CSS_SELECTOR, "textarea")
+                textarea.send_keys(text)
+            
+                button = driver.find_element(By.CLASS_NAME, "sectionChatFormButton")
+                button.click()
+                break
+            except:
+                time.sleep(0.2)
+
+            
+        prev =""
+        
+        # time.sleep(2)
+        while True:
+            time.sleep(0.2)
+            currtime= time.time()
+            if(currtime>starttime+18.5):
+                
+                return "Requested Could not be proceed"
+                
+            value=""
+            try:
+                messages = driver.find_elements(By.CLASS_NAME, 'messageContain')
+                last_message_contain = messages[len(messages)-2]
+                value = last_message_contain.text
+                value = value[8:len(value)]
+                print(value)
+                if value=="Please, wait...":
+                    continue
+            except:
+                continue
+                
+            
+            
+            driver.delete_all_cookies()
+            driver.quit()
+            return value
+            
+            
+
+    except:
+        print("Error")
+        driver.delete_all_cookies()
+        if trycount>3:
+            
+            return 
+        driver.quit()
+        return do_ML(id,text,host,trycount+1)
+        
+        
+
+
+
+
+@app.post("/image")
+async def get_answer(q: Query ):
+    
+    text = q.text
+    host= q.host
+
+    # N = 20
+    # res = ''.join(random.choices(string.ascii_uppercase +
+    #                          string.digits, k=N))
+    # res= res+ str(time.time())
+
+    id= ''
+    
+    # t = threading.Thread(target=do_ML2, args=(id,text,host,0))  
+    # t.start()
+
+    url = do_ML2(id,text,host,0)
+    
+    dict= {"url":url}
+
+    
+    # dict= {"id":id}
+    
+    
+    return JSONResponse(dict)
+
+                
+            
+
+
+def do_ML2(id:str,text:str,host:str, trycount:int):
+   
+    try:
+        starttime=time.time()
+        
+        options = ChromeOptions()
+        options.add_argument('--no-sandbox')
+        options.add_argument('-headless')
+        service = Service()
+        driver = webdriver.Chrome(options= options,service=service)
+        driver.get("https://talkai.info/image/")      
+        while True:
+            currtime= time.time()
+            if(currtime>starttime+10):
+                return "Requested Could not be proceed"
+            try:
+                textarea = driver.find_element(By.CSS_SELECTOR, "textarea")
+                textarea.send_keys(text)
+                time.sleep(0.1)
+                button = driver.find_element(By.CLASS_NAME, "sectionChatFormButton")
+                button.click()
+                break
+            except:
+                time.sleep(0.2)
+            
+        # time.sleep(2)
+        while True:
+            currtime= time.time()
+            if(currtime>starttime+10):
+                return "Requested Could not be proceed"
+                
+            time.sleep(0.2)
+            currtime= time.time()
+            if(currtime>starttime+18.5):
+                
+                return "Request Could not be proceed"
+            try:
+                messages = driver.find_elements(By.XPATH, "//div[@class='messageContain']/p/img")
+                last_message_contain = messages[len(messages)-2]
+                src = last_message_contain.get_attribute("src")
+                print(src)
+
+                driver.delete_all_cookies()
+                driver.quit()
+                
+                return src
+                break
+            except:
+                continue
+        
+    except:
+        print("Error")
+        driver.delete_all_cookies()
+        if trycount>1:
+        
+            return "Request Could not be proceed"
+        driver.quit()
+        return do_ML2(id,text,host,trycount+1)
+        
+        
+
+        
+       
+
+

config.py

@@ -0,0 +1,9 @@
+from dotenv import load_dotenv
+import os
+
+load_dotenv(dotenv_path=".env")  # Load environment variables from .env file
+
+# DATABASE_URL = os.getenv("DATABASE_URL")
+# OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+# OCR_API_KEY = os.getenv("OCR_API_KEY")
+NGROK_AUTH_TOKEN = os.getenv("NGROK_AUTH_TOKEN")

geckodriver

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12994672529413925506cade8dee78d91683015146dac8dab017496f02d7bbb0
+size 9710704

ml.ipynb

@@ -0,0 +1,456 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd \n",
+    "import numpy as np\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_20744\\3250454216.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  df['hour'] = pd.to_datetime(df['time']).dt.hour\n"
+     ]
+    }
+   ],
+   "source": [
+    "df= pd.read_csv('data.csv')\n",
+    "df['hour'] = pd.to_datetime(df['time']).dt.hour\n",
+    "df['weekday'] = pd.to_datetime(df['date']).dt.weekday\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>address</th>\n",
+       "      <th>car_num</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>time</th>\n",
+       "      <th>date</th>\n",
+       "      <th>hour</th>\n",
+       "      <th>weekday</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>40, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372527</td>\n",
+       "      <td>22.580441</td>\n",
+       "      <td>18:48:39</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>40, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372527</td>\n",
+       "      <td>22.580441</td>\n",
+       "      <td>18:48:39</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>40, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372527</td>\n",
+       "      <td>22.580441</td>\n",
+       "      <td>18:50:15</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>40, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372526</td>\n",
+       "      <td>22.580458</td>\n",
+       "      <td>19:16:08</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>15, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372552</td>\n",
+       "      <td>22.580432</td>\n",
+       "      <td>19:17:15</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                             address car_num        lat   \n",
+       "0  40, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372527  \\\n",
+       "1  40, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372527   \n",
+       "2  40, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372527   \n",
+       "3  40, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372526   \n",
+       "4  15, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372552   \n",
+       "\n",
+       "        long      time        date  hour  weekday  \n",
+       "0  22.580441  18:48:39  2023-05-02    18        1  \n",
+       "1  22.580441  18:48:39  2023-05-02    18        1  \n",
+       "2  22.580441  18:50:15  2023-05-02    18        1  \n",
+       "3  22.580458  19:16:08  2023-05-02    19        1  \n",
+       "4  22.580432  19:17:15  2023-05-02    19        1  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# df.drop(['time','date','address','car_num'],axis=1,inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>address</th>\n",
+       "      <th>car_num</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>time</th>\n",
+       "      <th>date</th>\n",
+       "      <th>hour</th>\n",
+       "      <th>weekday</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>40, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372527</td>\n",
+       "      <td>22.580441</td>\n",
+       "      <td>18:48:39</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>40, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372527</td>\n",
+       "      <td>22.580441</td>\n",
+       "      <td>18:48:39</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>40, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372527</td>\n",
+       "      <td>22.580441</td>\n",
+       "      <td>18:50:15</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>40, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372526</td>\n",
+       "      <td>22.580458</td>\n",
+       "      <td>19:16:08</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>15, Vidyasagar St, Machuabazar, Kolkata, West ...</td>\n",
+       "      <td>jj</td>\n",
+       "      <td>88.372552</td>\n",
+       "      <td>22.580432</td>\n",
+       "      <td>19:17:15</td>\n",
+       "      <td>2023-05-02</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                             address car_num        lat   \n",
+       "0  40, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372527  \\\n",
+       "1  40, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372527   \n",
+       "2  40, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372527   \n",
+       "3  40, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372526   \n",
+       "4  15, Vidyasagar St, Machuabazar, Kolkata, West ...      jj  88.372552   \n",
+       "\n",
+       "        long      time        date  hour  weekday  \n",
+       "0  22.580441  18:48:39  2023-05-02    18        1  \n",
+       "1  22.580441  18:48:39  2023-05-02    18        1  \n",
+       "2  22.580441  18:50:15  2023-05-02    18        1  \n",
+       "3  22.580458  19:16:08  2023-05-02    19        1  \n",
+       "4  22.580432  19:17:15  2023-05-02    19        1  "
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x=df[['lat','long','weekday']]\n",
+    "y= df['hour']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# adress_map={}\n",
+    "# temp=[]\n",
+    "# count=0;\n",
+    "# for i in x['address']:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(random_state=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(random_state=0)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "RandomForestRegressor(random_state=0)"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    " \n",
+    "# create regressor object\n",
+    "regressor = RandomForestRegressor(n_estimators=100, random_state=0)\n",
+    "\n",
+    "\n",
+    " \n",
+    "# fit the regressor with x and y data\n",
+    "regressor.fit(x, y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[18.08 18.08 18.08 18.64 18.97 18.97 18.97 19.   19.   19.   19.   19.\n",
+      " 19.   19.   19.   19.   19.   19.   19.   19.89 19.89 16.99]\n",
+      "0     18\n",
+      "1     18\n",
+      "2     18\n",
+      "3     19\n",
+      "4     19\n",
+      "5     19\n",
+      "6     19\n",
+      "7     19\n",
+      "8     19\n",
+      "9     19\n",
+      "10    19\n",
+      "11    19\n",
+      "12    19\n",
+      "13    19\n",
+      "14    19\n",
+      "15    19\n",
+      "16    19\n",
+      "17    19\n",
+      "18    19\n",
+      "19    20\n",
+      "20    20\n",
+      "21    16\n",
+      "Name: hour, dtype: int32\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(regressor.predict(x))\n",
+    "print(y)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "adress= df['address']\n",
+    "lat= df['lat']\n",
+    "long= df['long']\n",
+    "weekday= df['weekday']\n",
+    "\n",
+    "a1=[]\n",
+    "lat1=[]\n",
+    "long1=[]\n",
+    "weekday1=[]\n",
+    "\n",
+    "\n",
+    "\n",
+    "i =0\n",
+    "\n",
+    "while i<len(adress):\n",
+    "    if adress[i] == '40, Vidyasagar St, Machuabazar, Kolkata, West Bengal 700009, India':\n",
+    "        a1.append(adress[i])\n",
+    "        lat1.append(lat[i])\n",
+    "        long1.append(long[i])\n",
+    "        weekday1.append(weekday[i])\n",
+    "        break\n",
+    "    i=i+1\n",
+    "\n",
+    "df2= pd.DataFrame({'lat':lat1,'long':long1,'weekday':weekday1})\n",
+    "\n",
+    "\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[18.08]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(regressor.predict(df2))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.0"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

package-lock.json

@@ -0,0 +1,975 @@
+{
+  "name": "alcohol",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "alcohol",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "firebase": "^9.21.0"
+      },
+      "devDependencies": {}
+    },
+    "node_modules/@firebase/analytics": {
+      "version": "0.10.0",
+      "resolved": "https://registry.npmjs.org/@firebase/analytics/-/analytics-0.10.0.tgz",
+      "integrity": "sha512-Locv8gAqx0e+GX/0SI3dzmBY5e9kjVDtD+3zCFLJ0tH2hJwuCAiL+5WkHuxKj92rqQj/rvkBUCfA1ewlX2hehg==",
+      "dependencies": {
+        "@firebase/component": "0.6.4",
+        "@firebase/installations": "0.6.4",
+        "@firebase/logger": "0.4.0",
+        "@firebase/util": "1.9.3",
+        "tslib": "^2.1.0"
+      },
+      "peerDependencies": {
+        "@firebase/app": "0.x"
+      }
+    },
+    "node_modules/@firebase/analytics-compat": {
+      "version": "0.2.6",
+      "resolved": "https://registry.npmjs.org/@firebase/analytics-compat/-/analytics-compat-0.2.6.tgz",
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+      "dependencies": {
+        "@firebase/analytics": "0.10.0",
+        "@firebase/analytics-types": "0.8.0",
+        "@firebase/component": "0.6.4",
+        "@firebase/util": "1.9.3",
+        "tslib": "^2.1.0"
+      },
+      "peerDependencies": {
+        "@firebase/app-compat": "0.x"
+      }
+    },
+    "node_modules/@firebase/analytics-types": {
+      "version": "0.8.0",
+      "resolved": "https://registry.npmjs.org/@firebase/analytics-types/-/analytics-types-0.8.0.tgz",
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+    },
+    "node_modules/@firebase/app": {
+      "version": "0.9.9",
+      "resolved": "https://registry.npmjs.org/@firebase/app/-/app-0.9.9.tgz",
+      "integrity": "sha512-8jzuHtQ/t9XqK+0IAQ/lpylVYzXGKIUKm6U3v7LWor+MGIm+9Ucn+hbrd2iBjH8qfmNrjnQnmf7sWBbdSa54oA==",
+      "dependencies": {
+        "@firebase/component": "0.6.4",
+        "@firebase/logger": "0.4.0",
+        "@firebase/util": "1.9.3",
+        "idb": "7.1.1",
+        "tslib": "^2.1.0"
+      }
+    },
+    "node_modules/@firebase/app-check": {
+      "version": "0.7.0",
+      "resolved": "https://registry.npmjs.org/@firebase/app-check/-/app-check-0.7.0.tgz",
+      "integrity": "sha512-y0raLJpEtiL+wonfInFMaSfBV/EDvr356ZHMWbpr5F7fR0/I3cC0h7U6SKpKhrbSHJ0fOYIe0xbih20KTlpcnA==",
+      "dependencies": {
+        "@firebase/component": "0.6.4",
+        "@firebase/logger": "0.4.0",
+        "@firebase/util": "1.9.3",
+        "tslib": "^2.1.0"
+      },
+      "peerDependencies": {
+        "@firebase/app": "0.x"
+      }
+    },
+    "node_modules/@firebase/app-check-compat": {
+      "version": "0.3.6",
+      "resolved": "https://registry.npmjs.org/@firebase/app-check-compat/-/app-check-compat-0.3.6.tgz",
+      "integrity": "sha512-azHAeHi9igoaIo04E6Yfuc7aIbWoWuBXuqjyYyWbeCc8Zz/NfJvIAgmXugN4LdxsHJ7XGlZTvwJ6YaYROdSa7A==",
+      "dependencies": {
+        "@firebase/app-check": "0.7.0",
+        "@firebase/app-check-types": "0.5.0",
+        "@firebase/component": "0.6.4",
+        "@firebase/logger": "0.4.0",
+        "@firebase/util": "1.9.3",
+        "tslib": "^2.1.0"
+      },
+      "peerDependencies": {
+        "@firebase/app-compat": "0.x"
+      }
+    },
+    "node_modules/@firebase/app-check-interop-types": {
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+    "node_modules/yargs": {
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+      "resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.0.tgz",
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+      "dependencies": {
+        "cliui": "^7.0.2",
+        "escalade": "^3.1.1",
+        "get-caller-file": "^2.0.5",
+        "require-directory": "^2.1.1",
+        "string-width": "^4.2.0",
+        "y18n": "^5.0.5",
+        "yargs-parser": "^20.2.2"
+      },
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/yargs-parser": {
+      "version": "20.2.9",
+      "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-20.2.9.tgz",
+      "integrity": "sha512-y11nGElTIV+CT3Zv9t7VKl+Q3hTQoT9a1Qzezhhl6Rp21gJ/IVTW7Z3y9EWXhuUBC2Shnf+DX0antecpAwSP8w==",
+      "engines": {
+        "node": ">=10"
+      }
+    }
+  }
+}

package.json

@@ -0,0 +1,14 @@
+{
+  "name": "alcohol",
+  "version": "1.0.0",
+  "main": "firebase.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "firebase": "^9.21.0"
+  },
+  "description": ""
+}

pyngrok.yml

@@ -0,0 +1 @@
+ngrok_path: /tmp/ngrok

requirements.txt

@@ -0,0 +1,118 @@
+aniso8601
+asttokens
+backcall
+bidict
+blinker
+CacheControl
+cachetools
+certifi
+cffi
+charset-normalizer
+click
+colorama
+comm
+cryptography
+debugpy
+decorator
+dnspython
+docopt
+email-validator
+executing
+grpcio
+grpcio-status
+httplib2
+idna
+importlib-metadata
+ipykernel
+ipython
+itsdangerous
+jedi
+Jinja2
+joblib
+jupyter_client
+jupyter_core
+MarkupSafe
+matplotlib-inline
+mongoengine
+msgpack
+nest-asyncio
+numpy
+packaging
+pandas
+parso
+pickleshare
+pipreqs
+platformdirs
+prompt-toolkit
+proto-plus
+protobuf
+psutil
+pure-eval
+pyasn1
+pyasn1-modules
+pycparser
+pydub
+Pygments
+PyJWT
+pymongo
+pyparsing
+python-dateutil
+python-engineio
+python-socketio
+pytz
+pyzmq
+requests
+rsa
+six
+sockets
+stack-data
+threadpoolctl
+tornado
+traitlets
+typing_extensions
+tzdata
+uritemplate
+urllib3
+wcwidth
+Werkzeug
+WTForms
+yarg
+zipp
+gunicorn
+uvicorn
+fastapi
+pydantic
+python-multipart
+
+
+websocket-client
+requests
+tls-client
+pypasser
+names
+colorama
+curl_cffi
+aiohttp
+flask
+flask_cors
+streamlit
+selenium
+fake-useragent
+twocaptcha
+pydantic
+pymailtm
+Levenshtein
+retrying
+mailgw_temporary_email
+pycryptodome
+random-password-generator
+numpy>=1.22.2 # pinned to avoid a vulnerability
+tornado>=6.3.2 # pinned to avoid a vulnerability
+PyExecJS
+browser_cookie3
+googletrans==4.0.0rc1
+
+
+
+
+

temp.py

@@ -0,0 +1,4 @@
+import pandas as pd
+
+pd = pd.DataFrame({'address':[], 'car_num': [], 'lat': [], 'long': [], 'time': [], 'date': []})
+pd.to_csv('data.csv', index=False)

web.html

@@ -0,0 +1,60 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>API Demo</title>
+  </head>
+  <body>
+    <h1>API Demo</h1>
+    <label for="day">Select a day:</label>
+    <select id="day">
+      <option value="monday">Monday</option>
+      <option value="tuesday">Tuesday</option>
+      <option value="wednesday">Wednesday</option>
+      <option value="thursday">Thursday</option>
+      <option value="friday">Friday</option>
+      <option value="saturday">Saturday</option>
+      <option value="sunday">Sunday</option>
+    </select>
+    <label for="data">Select data:</label>
+    <select id="data" name="data"></select>
+    <br><br>
+    <input type="button" value="Submit" onclick="fetchData()">
+
+    <!-- <br><br>
+    <button onclick="fetchAPI()">Submit</button>
+    <br><br> -->
+    <div id="result"></div>
+    <script>
+     function fetchData() {
+    const day = document.getElementById("day").value;
+    const dataSelect = document.getElementById("data");
+    const resultDiv = document.getElementById("result");
+
+    // Clear previous results
+    resultDiv.innerHTML = "";
+
+    // Make API request
+    fetch(`https://api.example.com/data/${day}`)
+        .then(response => response.json())
+        .then(data => {
+            // Populate data dropdown
+            dataSelect.innerHTML = "";
+            data.forEach(item => {
+                const option = document.createElement("option");
+                option.value = item.value;
+                option.textContent = item.label;
+                dataSelect.appendChild(option);
+            });
+
+            // Show fetched data
+            resultDiv.innerHTML = `Data for ${day}: ${JSON.stringify(data)}`;
+        })
+        .catch(error => {
+            console.error(error);
+            resultDiv.innerHTML = "Error fetching data.";
+        });
+}
+
+    </script>
+  </body>
+</html>