Create python personal_assistant.py

python personal_assistant.py

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+import wikipediaapi
+import datetime
+import requests
+import pyttsx3
+import spacy
+
+# Initialize Wikipedia API
+wiki_wiki = wikipediaapi.Wikipedia('en')
+
+# Initialize text-to-speech engine
+engine = pyttsx3.init()
+
+# Load spaCy NLP model
+nlp = spacy.load("en_core_web_sm")
+
+# Function to speak the text
+def speak(text):
+    engine.say(text)
+    engine.runAndWait()
+
+# Greet the user
+def greet_user():
+    greeting = "Hello! I am your Python assistant. How can I help you today?"
+    print(greeting)
+    speak(greeting)
+
+# Get current time
+def get_time():
+    now = datetime.datetime.now()
+    time_str = now.strftime("%H:%M:%S")
+    response = f"The current time is {time_str}."
+    print(response)
+    speak(response)
+
+# Fetch summary from Wikipedia
+def search_wikipedia(query):
+    page = wiki_wiki.page(query)
+    if page.exists():
+        summary = page.summary[:300]  # Get the first 300 characters of the summary
+        print(f"According to Wikipedia: {summary}")
+        speak(f"According to Wikipedia, {summary}")
+    else:
+        print("Sorry, I couldn't find that information on Wikipedia.")
+        speak("Sorry, I couldn't find that information on Wikipedia.")
+
+# Get stock price (requires Alpha Vantage API key)
+def get_stock_price(symbol, api_key):
+    url = f"https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={symbol}&interval=1min&apikey={api_key}"
+    response = requests.get(url)
+    data = response.json()
+
+    if "Time Series (1min)" in data:
+        latest_time = next(iter(data["Time Series (1min)"]))
+        latest_data = data["Time Series (1min)"][latest_time]
+        price = latest_data["1. open"]
+        stock_info = f"The current stock price of {symbol} is ${price}."
+        print(stock_info)
+        speak(stock_info)
+    else:
+        print("Sorry, I couldn't retrieve the stock information.")
+        speak("Sorry, I couldn't retrieve the stock information.")
+
+# Get latest news (requires News API key)
+def get_latest_news(api_key):
+    url = f"https://newsapi.org/v2/top-headlines?country=us&apiKey={api_key}"
+    response = requests.get(url)
+    data = response.json()
+
+    if data["status"] == "ok":
+        articles = data["articles"][:5]  # Get the top 5 articles
+        news_list = "\n".join([f"- {article['title']}" for article in articles])
+        news_report = f"Here are the top news headlines:\n{news_list}"
+        print(news_report)
+        speak(news_report)
+    else:
+        print("Sorry, I couldn't fetch the news.")
+        speak("Sorry, I couldn't fetch the news.")
+
+# Handle user input with NLP
+def handle_command(command):
+    doc = nlp(command)
+
+    if "time" in command:
+        get_time()
+    elif "wikipedia" in command or any(token.lemma_ == "know" for token in doc):
+        query = input("What do you want to know about? ")
+        search_wikipedia(query)
+    elif "stock" in command:
+        symbol = input("Enter the stock symbol: ")
+        api_key = "your_alpha_vantage_api_key"  # Replace with your Alpha Vantage API key
+        get_stock_price(symbol, api_key)
+    elif "news" in command:
+        api_key = "your_news_api_key"  # Replace with your News API key
+        get_latest_news(api_key)
+    elif "exit" in command:
+        print("Goodbye!")
+        speak("Goodbye!")
+        return True
+    else:
+        print("I'm sorry, I didn't understand that command.")
+        speak("I'm sorry, I didn't understand that command.")
+    return False
+
+# Main function
+def main():
+    greet_user()
+    while True:
+        user_input = input("Enter a command (or type 'exit' to quit): ").lower()
+        if handle_command(user_input):
+            break
+
+# Run the assistant
+if __name__ == "__main__":
+    main()