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This repository was archived by the owner on Jun 29, 2024. It is now read-only.

Commit 556c181

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‎Arjun Parasar/Chatbot/chatbot.py‎

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import nltk
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from nltk.chat.util import Chat, reflections
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pairs = [
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['hi|hello|hey', ['Hello!', 'Hi there!', 'Hey!']],
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['how are you?', ['I am doing well, thank you!', 'I am good, thanks for asking!']],
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['what is your name?', ['I am just a chatbot.', 'I am a chatbot designed to assist you.']],
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['what can you do?', ['I can provide information on various topics. Feel free to ask me anything!']],
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['bye|goodbye', ['Goodbye!', 'Bye! Have a great day!']],
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['(.*) weather (.*)', ['Sorry, I cannot provide weather information at the moment.']],
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['(.*) news (.*)', ['I am not able to provide news updates right now.']],
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['(.*) time (.*)', ['Sorry, I cannot provide time information currently.']]
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]
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chat = Chat(pairs, reflections)
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def chat_respond(user_input):
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return chat.respond(user_input)
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def main():
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print("Hello! I'm a simple chatbot.")
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while True:
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user_input = input("You : ")
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response = chat_respond(user_input)
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print("Bot:",response)
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if user_input.lower() == 'bye':
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break
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if __name__ == "__main__":
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main()
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import requests
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import matplotlib.pyplot as plt
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import datetime
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# Function to fetch current weather data from Open-Meteo API
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def fetch_weather_data(lat, lon):
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current_weather_url = f'https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true'
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forecast_url = f'https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&hourly=temperature_2m&daily=temperature_2m_max,temperature_2m_min&timezone=auto'
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current_weather_response = requests.get(current_weather_url)
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current_weather_response.raise_for_status() # Raise an exception for HTTP errors
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forecast_response = requests.get(forecast_url)
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forecast_response.raise_for_status() # Raise an exception for HTTP errors
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return current_weather_response.json(), forecast_response.json()
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# Function to display current weather data
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def display_current_weather(weather_data):
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current_weather = weather_data['current_weather']
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print("Current weather:")
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print(f"Temperature: {current_weather['temperature']}°C")
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print(f"Windspeed: {current_weather['windspeed']} km/h")
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print(f"Wind direction: {current_weather['winddirection']}°")
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print()
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# Function to display forecast data
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def display_forecast(forecast_data):
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daily_forecast = forecast_data['daily']
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dates = daily_forecast['time']
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max_temps = daily_forecast['temperature_2m_max']
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min_temps = daily_forecast['temperature_2m_min']
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print("5-day forecast:")
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for date, max_temp, min_temp in zip(dates, max_temps, min_temps):
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print(f"{date}: Max Temp: {max_temp}°C, Min Temp: {min_temp}°C")
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print()
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# Function to parse datetime with optional seconds
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def parse_datetime(date_str):
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for fmt in ('%Y-%m-%dT%H:%M:%S', '%Y-%m-%dT%H:%M'):
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try:
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return datetime.datetime.strptime(date_str, fmt)
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except ValueError:
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continue
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raise ValueError(f"Date format for '{date_str}' not recognized")
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# Function to plot temperature trends
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def plot_temperature_trends(forecast_data):
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hourly_forecast = forecast_data['hourly']
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times = hourly_forecast['time']
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temperatures = hourly_forecast['temperature_2m']
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dates = [parse_datetime(time) for time in times]
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plt.figure(figsize=(10, 5))
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plt.plot(dates, temperatures, marker='o')
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plt.title('Temperature Trends')
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plt.xlabel('Date')
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plt.ylabel('Temperature (°C)')
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plt.grid(True)
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plt.show()
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# Function to get latitude and longitude from user input
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def get_location_coordinates(location):
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geocoding_url = f'https://geocoding-api.open-meteo.com/v1/search?name={location}'
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response = requests.get(geocoding_url)
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response.raise_for_status() # Raise an exception for HTTP errors
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data = response.json()
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if data['results']:
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return data['results'][0]['latitude'], data['results'][0]['longitude']
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else:
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raise ValueError("Location not found")
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# Main function to fetch and display weather data
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def main():
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location = input("Enter the location (e.g., London): ")
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try:
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lat, lon = get_location_coordinates(location)
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current_weather, forecast = fetch_weather_data(lat, lon)
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display_current_weather(current_weather)
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display_forecast(forecast)
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plot_temperature_trends(forecast)
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except requests.exceptions.HTTPError as http_err:
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print(f"HTTP error occurred: {http_err}")
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except ValueError as val_err:
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print(f"Error: {val_err}")
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except Exception as err:
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print(f"An error occurred: {err}")
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if __name__ == "__main__":
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main()
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from PyPDF2 import PdfReader, PdfWriter
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import os
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def split_pdf(input_pdf_path, output_folder):
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pdf_reader = PdfReader(input_pdf_path)
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for page_num in range(len(pdf_reader.pages)):
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pdf_writer = PdfWriter()
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pdf_writer.add_page(pdf_reader.pages[page_num])
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output_pdf_path = os.path.join(output_folder, f'page_{page_num + 1}.pdf')
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with open(output_pdf_path, 'wb') as out:
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pdf_writer.write(out)
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print(f'Page {page_num + 1} saved to {output_pdf_path}')
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def main():
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input_path = input("Enter the path of the PDF file to split: ").strip()
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output_folder = input("Enter the output folder path: ").strip()
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split_pdf(input_path, output_folder)
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if __name__ == "__main__":
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main()
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import requests
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from bs4 import BeautifulSoup
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import pandas as pd
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# Define the URL of the website to scrape
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url = "http://books.toscrape.com/"
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# Send a GET request to the website
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response = requests.get(url)
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# Check if the request was successful
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if response.status_code == 200:
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# Parse the HTML content using BeautifulSoup
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soup = BeautifulSoup(response.content, 'html.parser')
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# Find the container with the list of books
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books_container = soup.find_all('article', class_='product_pod')
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# Create lists to store the data
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titles = []
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prices = []
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availability = []
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# Loop through the container and extract data
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for book in books_container:
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title = book.h3.a['title']
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price = book.find('p', class_='price_color').text
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availability_status = book.find('p', class_='instock availability').text.strip()
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titles.append(title)
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prices.append(price)
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availability.append(availability_status)
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# Create a DataFrame using pandas
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books_df = pd.DataFrame({
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'Title': titles,
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'Price': prices,
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'Availability': availability
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})
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# Save the DataFrame to a CSV file
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books_df.to_csv('books.csv', index=False)
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print("Data has been successfully scraped and saved to books.csv")
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else:
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print(f"Failed to retrieve the webpage. Status code: {response.status_code}")

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