Gift to all the teams in the contest. This will allow you to run your large language models locally on your PCs.

This AI-powered voice interface, originally designed to empower those with hearing and visual impairments, has evolved into something more complex. It's a tool with immense potential for accessibility, yet it also carries inherent risks, making it a double-edged sword – a technological Sword of Damocles.

import re

import requests

from duckduckgo_search import DDGS

import lxml.html

from openai import OpenAI

from io import BytesIO

from pygame import mixer

from gtts import gTTS

import tkinter as tk

from tkinter import ttk, scrolledtext

import time

from tenacity import retry, wait_exponential, stop_after_attempt

client = OpenAI(base_url="http://localhost:1234/v1", api_key="lm-studio")

ddgs = DDGS()

mixer.init()

root = tk.Tk()

root.title("Cognito AI Interface")

prompt_label = ttk.Label(root, text="Enter your prompt:")

prompt_label.pack(padx=10, pady=10)

prompt_entry = ttk.Entry(root, width=50)

prompt_entry.pack(padx=10, pady=10)

output_label = ttk.Label(root, text="Generated text:")

output_label.pack(padx=10, pady=10)

output_text = scrolledtext.ScrolledText(root, wrap=tk.WORD, width=50, height=10)

output_text.pack(padx=10, pady=10)

language_label = ttk.Label(root, text="Select language:")

language_label.pack(padx=10, pady=5)

selected_language = tk.StringVar(value="English")

language_options = ["English", "Spanish", "German", "French", "Russian", "Chinese", "Japanese", "Thai"]

language_dropdown = ttk.Combobox(root, textvariable=selected_language, values=language_options)

language_dropdown.pack(padx=10, pady=5)

language_codes = {

    "English": "en",

    "Spanish": "es",

    "German": "de",

    "French": "fr",

    "Russian": "ru",

    "Chinese": "zh-cn",

    "Japanese": "ja",

    "Thai": "th"

}

def run_api():

    user_prompt = prompt_entry.get()

    chosen_language = selected_language.get()

    if "searchit" in user_prompt:

        search_query = re.search(r"searchit\s+(.*)", user_prompt, re.IGNORECASE).group(1)

        generated_text = ""

        delay = 1

        results = ddgs.text(search_query)

        for i in range(min(3, len(results))):

            url = results[i].get('href')

            print(url)

            try:

                response = requests.get(url)

                response.raise_for_status()

                tree = lxml.html.fromstring(response.content)

                for unwanted in tree.xpath('//script | //style | //img'):

                    unwanted.getparent().remove(unwanted)

                body_element = tree.xpath('//body')[0]

                text_content = ''.join(body_element.itertext()).replace('\n', '').replace('\r', ' ')

                text_content = re.sub(' +', ' ', text_content)

                completion = client.chat.completions.create(

                    model="YOUR_MODEL_IDENTIFIER",

                    messages=[

                        {"role": "system", "content": "You are a helpful and harmless AI assistant."},

                        {"role": "user", "content": text_content}

                    ],

                    max_tokens=8192,

                    n=1,

                    stop=None,

                    temperature=0.5,

                )

                generated_text += completion.choices[0].message.content.strip() + "\n---\n"

                print(generated_text)

                output = BytesIO()

                tts = gTTS(text=generated_text, lang=language_codes.get(chosen_language, 'en'))

                tts.write_to_fp(output)

                output.seek(0)

                mixer.music.load(output)

                mixer.music.play()

                while mixer.music.get_busy():

                    time.sleep(1)

            except requests.exceptions.RequestException as e:

                if "Ratelimit" in str(e):

                    delay *= 2

                    print(f"Rate limit hit. Increasing delay to {delay} seconds.")

                    time.sleep(delay)

                else:

                    print(f"Error fetching or processing URL: {e}")

            except Exception as e:

                print(f"An unexpected error occurred: {e}")

            time.sleep(delay)

    else:

        completion = client.chat.completions.create(

            model="YOUR_MODEL_IDENTIFIER",

            messages=[

                {"role": "system", "content": "You are a helpful and harmless AI assistant."},

                {"role": "user", "content": user_prompt}

            ],

            max_tokens=8192,

            n=1,

            stop=None,

            temperature=0.5,

        )

        generated_text = completion.choices[0].message.content.strip()

        print(generated_text)

        output = BytesIO()

        tts = gTTS(text=generated_text, lang=language_codes.get(chosen_language, 'en'))

        tts.write_to_fp(output)

        output.seek(0)

        mixer.music.load(output)

        mixer.music.play()

        while mixer.music.get_busy():

            time.sleep(1)

    output_text.delete("1.0", tk.END)

    output_text.insert(tk.END, generated_text)

run_button = ttk.Button(root, text="Run", command=run_api)

run_button.pack(padx=10, pady=10)

root.mainloop()

mixer.quit()