IBM Watson Assistant Chatbot with Python |
ฝัง
- เผยแพร่เมื่อ 7 ก.ย. 2024
- In this video, we'll be using the IBM Watson Assistant to create a chatbot and then we'll connect it to a Python Flask program using NGROK.
#IBMWatsonAssistant #IBMWatsonChatbot #Chatbot #PythonChatbot
this is pretty awesome tutorial! Thanks for posting!
Thanks! I think I saw your comment on Reddit. I'll be checking you out soon and maybe do a video on it as well.
This is super cool. Subscribed
Thank you so much!
Hi Brandon, great video thanks. We are trying to decide weather to go with AWS Lex or IBM Watson for a midium size proyect that has to integrate with website, Facebook and sms channels. Is there a parameter to decide or a place to get comparisons? Thanks a lot
I have only used this in a hobby setting, so I don't have any practical advice on real development in an operational capacity. I do work for an IT company, and I feel that AWS vs. IBM is like Apple vs. Android. It's more about what you know and what your user experience has been. Personally, IBM Watson has the most intelligent learning capabilities, but I don't know a lot of companies on an IBM cloud infrastructure besides....IBM. AWS is the market leader in all things cloud, but I'm unsure how Lex learns compared to Watson. There's also Google's DialogFlow, but it's severely limited in learning, but probably the gold standard in Tier 1 basic support.
How to use IBM watson to make a voice assistant?
How to do it for images ? I have a problem receiving output images
Can you give link to a get hub or something?
I don't have a github link to the code for this. Here's the code.
from flask import Flask, request
app = Flask(__name__)
@app.route('/', methods=["POST", "GET"])
def webhook():
if request.method == "GET":
return "Hello TH-cam! - Not connected to DF."
elif request.method == "POST":
payload = request.json
print(payload)
return "Message received."
else:
print(request.data)
return "200"
if __name__ == '__main__':
app.run(debug=True)