import gradio as gr | |
from chatterbot import ChatBot | |
from chatterbot.trainers import ListTrainer | |
#from chatterbot.trainers import ChatterBotCorpusTrainer | |
chatbot = ChatBot("Chatpot",storage_adapter='chatterbot.storage.SQLStorageAdapter',database_uri = 'sqlite:///database.sqlite3') | |
file1 = open("dialogs.txt", "r") | |
training_data = file1.read().splitlines() | |
#trainer = ListTrainer(chatbot) | |
#trainer.train(training_data) | |
print(training_data) | |
def greet(name): | |
text = chatbot.get_response(name) | |
return str(text) | |
iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
iface.launch() |