This gives 2 deployment options:
This repo currently contains the starter files.
Clone repo and create a virtual environment
$ git clone https://github.com/python-engineer/chatbot-deployment.git $ cd chatbot-deployment $ python3 -m venv venv $ . venv/bin/activate
$ (venv) pip install Flask torch torchvision nltk
Install nltk package
$ (venv) python >>> import nltk >>> nltk.download('punkt')
intents.json with different intents and responses for your Chatbot
$ (venv) python train.py
This will dump data.pth file. And then run the following command to test it in the console.
$ (venv) python chat.py
Now for deployment follow my tutorial to implement
Source Code: https://github.com/python-engineer/chatbot-deployment
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It’s said that Artificial Intelligence will be just as smart as humans by 2050. Experts like Ray Kurzweil have even predicted that we’ll achieve a technological singularity by 2045.
From that point on, it’s believed that AI will start inventing Nobel Prize-winning inventions every 5 minutes. Granted it’s gonna be out of our control, but hey, at least we’ll see a revolutionary breakthrough.
We may think that these claims are outlandish and ridiculous, but if someone were to tell me in the 70s that there will be self-driving cars in the future, I would’ve wanted to smoke whatever they were smoking.
But guess what, here we are in 2020, and Tesla already has their self-driving cars on the roads right now. And these were all recently developed technologies. Did you know that the first chatbot was actually launched in 1966?
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Chatbots for businesses help them engage their website visitors and convert them into potential customers. The implementation of chatbots transforms the way businesses interact with their users. They can use a chatbot AI for sales, marketing, customer support, and automate many other business tasks.
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Innovative technologies like Artificial Intelligence (AI) and Machine Learning
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