https://github.com/dharanikavitham/ai-chatbot

The chatbot aims to enhance user experience by offering real-time data and services through integration with external APIs, contributing to improved productivity and efficiency in tasks such as information retrieval, assistance, and decision-making support.
https://github.com/dharanikavitham/ai-chatbot

api-gateway python streamlit

Last synced: about 2 months ago
JSON representation

The chatbot aims to enhance user experience by offering real-time data and services through integration with external APIs, contributing to improved productivity and efficiency in tasks such as information retrieval, assistance, and decision-making support.

• Host: GitHub
• URL: https://github.com/dharanikavitham/ai-chatbot
• Owner: Dharanikavitham
• Created: 2024-12-15T07:48:04.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-15T10:36:19.000Z (over 1 year ago)
• Last Synced: 2025-04-08T13:22:57.701Z (about 1 year ago)
• Topics: api-gateway, python, streamlit
• Language: Python
• Homepage:
• Size: 12.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
import webbrowser

import os

import streamlit as st

from dotenv import load_dotenv

from gtts import gTTS

import base64

import io

from googlesearch import search

import google.generativeai as gen_ai

# Load environment variables

load_dotenv()

# Set up Google Gemini-Pro AI model

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")

gen_ai.configure(api_key="AIzaSyBf3UoJMlcLhlmSNSnpIGXXwsBQUCjRQtU")

model = gen_ai.GenerativeModel('gemini-pro')

# Function to convert text to speech and return audio data

def text_to_speech(text):

    tts = gTTS(text)

    audio = io.BytesIO()

    tts.write_to_fp(audio)

    audio.seek(0)

    return audio

# Initialize chat session in Streamlit if not already present

if "chat_session" not in st.session_state:

    st.session_state.chat_session = model.start_chat(history=[])

# Configure Streamlit page settings

st.set_page_config(

    page_title="Chat with Alisa-Pro!",

    page_icon=":brain:",  # Favicon emoji

    layout="centered",  # Page layout option

)

# Display the chatbot's title on the page

st.title("🤖 Alisa Pro - ChatBot")

# Mute switch

mute_audio = st.checkbox("Mute Text-to-Speech")

# Display the chat history

for message in st.session_state.chat_session.history:

    st.markdown(message.parts[0].text)

# Input field for the user's message

user_prompt = st.chat_input("Ask Alisa-Pro...")

if user_prompt:

    # Add the user's message to chat and display it

    st.chat_message("user").markdown(user_prompt)

    if "open youtube" in user_prompt.lower():

        st.chat_message("assistant").markdown("Sure, opening YouTube for you.")

        # Open YouTube in the default web browser

        webbrowser.open("https://www.youtube.com")

    else:

        # Send the user's message to Gemini-Pro and get the response

        gemini_response = st.session_state.chat_session.send_message(user_prompt)

        # Display Gemini-Pro's response

        with st.chat_message("assistant"):

            st.markdown(gemini_response.text)

            # Convert Gemini-Pro's response to speech only if not muted

            if not mute_audio:

                audio_data = text_to_speech(gemini_response.text)

                # Convert audio to base64

                base64_audio = base64.b64encode(audio_data.read()).decode("utf-8")

                # Rewind the audio_data

                audio_data.seek(0)

                # Autoplay audio using JavaScript

                st.markdown(f'', unsafe_allow_html=True)