OmniBot - A Multimodal Conversational AI

Shoimport nltk

from nltk.chat.util import Chat, reflections

import speech_recognition as sr



# Define patterns and responses for the chatbot

patterns = [

    (r'hi|hello|hey', ['Hello!', 'Hi there!', 'Hey!']),

    (r'how are you', ['I am good, thank you!', 'I am doing well, how about you?']),

    # Add more patterns and responses based on your requirements

]



# Create the chatbot

chatbot = Chat(patterns, reflections)



# Function to handle speech recognition

def recognize_speech():

    recognizer = sr.Recognizer()

    with sr.Microphone() as source:

        print("Say something:")

        audio = recognizer.listen(source)

        try:

            text = recognizer.recognize_google(audio)

            return text.lower()

        except sr.UnknownValueError:

            return "Sorry, I couldn't understand that."

        except sr.RequestError as e:

            return f"Could not request results from Google Speech Recognition service; {e}"



# Main conversation loop

print("OmniBot: Hello! I'm OmniBot. How can I help you today?")

while True:

    user_input = input("You: ")

    

    # Allow user to exit the conversation

    if user_input.lower() in ['exit', 'bye', 'quit']:

        print("OmniBot: Goodbye! Have a great day.")

        break

    

    # Use speech recognition if the user input starts with 'listen'

    if user_input.lower().startswith('listen'):

        user_input = recognize_speech()

        print(f"You (Speech): {user_input}")



    # Get response from the chatbot based on user input

    response = chatbot.respond(user_input)

    print(f"OmniBot: {response}")

wcase innovation and commitment to user experience with cutting-edge technology, positioning your brand at the forefront of digital advancement.