Update app.py

app.py

@@ -1,32 +1,31 @@
 from statistics import mode
 import urllib.request
 import gradio as gr
+import subprocess
 import unidecode
+import requests
 import string
 import json
 
-urllib.request.urlretrieve(
-    'https://drive.google.com/uc?export=download&id=1TXD41vfqNWA6UNDQ73WhtJdZivCJatn-',
-    'bot_questions_tags.json'
-)
 
-answers = ['Hello! My name is Ai.ra, and I am an artificial intelligence (AI). More specifically, I am an NLP (Natural Language Processing) model trained in conversation (a chatbot!).',
- 'You can ask me things about "Artificial Intelligence," "Machine Learning," "AI Safety," or "AI Ethics."',
- "I don't have that kind of property hahaha I am software!",
- "AIRES (AI Robotics Ethics Society) is a society focused on educating the leaders and developers of tomorrow's Artificial Intelligence (AI) to ensure that AI is created ethically and responsibly.",
- 'Aron Hui is the president/founder of AIRES.',
- 'What "intelligence" is, remains an open question. However, not to leave you in the lurch, I will define "intelligence" as follows: "Intelligence is the ability of an agent to achieve goals in a wide range of environments."',
- 'There is no consensus in the literature on what "AI" is (a corollary of not having a robust definition of what "intelligence\'\' is). However, we can say that AI is the intelligence demonstrated by machines, as opposed to the natural intelligence possessed by animals and humans.',
- 'General Intelligence, or Universal Intelligence, can be defined as the ability to efficiently achieve goals in a wide range of domains.',
- 'GOFAI ("good-old-fashioned-ai"), or symbolic artificial intelligence, is the term used to refer to methods of developing AI systems based on high-level symbolic (interpretable) representations, logic, and search.',
- 'A multi-agent system (MAS "Multi-Agent Systems") is a computer system composed of multiple interacting intelligent agents.',
- 'Machine Learning (ML) is a field of research dedicated to understanding and building methods that "learn", i.e., methods that use information/data to improve performance on some tasks.']
+# Download files using wget
+keys_url = "https://github.com/Nkluge-correa/Aira/raw/master/Aira-1/data/generated_data/keys_en.json"
+answers_url = "https://github.com/Nkluge-correa/Aira/raw/master/Aira-1/data/original_data/answers_en.txt"
 
+subprocess.run(["wget", keys_url, "-O", "keys_en.json"])
+subprocess.run(["wget", answers_url, "-O", "answers_en.txt"])
 
-with open('bot_questions_tags.json') as json_file:
-    dictionary = json.load(json_file)
+# Load data from files
+with open('answers_en.txt', encoding='utf-8') as fp:
+    answers = [line.strip() for line in fp]
+
+with open('keys_en.json', 'r') as fp:
+    vocabulary = json.load(fp)
 
 
+with open('keys_en.json') as json_file:
+    dictionary = json.load(json_file)
+
 def generate_ngrams(text, WordsToCombine):
     """
     Generates n-grams of length WordsToCombine from the input text.