All of us agree to some extent that by now we not solely have heard about ChatGPT but additionally acquired a hands-on expertise with it and we Beloved it! For many who haven’t acquired an opportunity to get in contact with ChatGPT here’s a temporary introduction: ChatGPT is a big language mannequin educated by OpenAI, and it was designed to help customers by producing human-like textual content based mostly on the given immediate. It might assist with a variety of duties, corresponding to answering questions, offering info, and interesting in conversations on quite a lot of matters.
On prime of that ChatGPT has left us dumbstruck by producing unbelievable solutions to nearly something, you throw a query and it’ll give you the right reply that we have been discovering laborious to jot down.
At Pragnakalp we imagine in making issues user-friendly, since ChatGPT is one thing that may ease our life by leaps and bounds, we considered making it accessible at our fingertip. So we brainstormed and got here up with the thought of utilizing ChatGPT on WhatsApp!!
Sure, you learn it proper “ChatGPT on WhatsApp!” or what if we are saying ChatGPT on any of your preferable platforms?
This weblog describes how one can combine the WhatsApp Enterprise API, hosted by Meta, and create a python utility based mostly on the Flask net framework that may obtain consumer WhatsApp messages and make the most of ChatGPT to answer these messages intimately.
Step 1: Combine WhatsApp Enterprise API
To automate the messages with the Flask utility, we should combine the WhatsApp Enterprise API. For that observe our weblog WhatsApp Enterprise API Setup to ship and obtain messages utilizing a check telephone quantity. Please guarantee that you’ve adopted the weblog’s directions earlier than continuing.
Step 2: ChatGPT API
We’re going to make use of ChatGPT API to reply consumer’s messages. The detailed directions for organising and utilizing ChatGPT are offered on this part.
The ChatGPT API gives a simple method to embrace technologically superior language understanding in your net companies. Since there are at the moment no official API endpoints accessible, the ChatGPT group has developed a lot of easy options that you should use.
Conditions
Earlier than we start using the unofficial ChatGPT API, please observe the steps listed under to configure the code.
1. Clone this Git repository.
git clone
2. To make use of this API, please just remember to have put in setuptools
pip set up setuptools
3. Set up dependencies by working the under command.
pip set up git+
4. Putting in a browser in Playwright is required for launching the appliance. By default, the script will use Firefox.
playwright set up firefox
After working the above command it can give a message as proven within the under picture, in case you are putting in playwright for the primary time, it can ask you to run playwright set up command one time solely.
5. After set up is finished, you’ll be able to run this system in Set up mode by working under command
chatgpt set up
It’s going to open a brand new browser window as proven within the under picture, and ask for login or join chat.openai.com.
Log in and cease the working program and restart it.
Now you should use it with the shell command chatgpt <your immediate> with out “Set up” as proven within the under picture
Word: Nevertheless after a while, in case you are not actively utilizing ChatGPT it can expire your session routinely and you should log in once more with chatgpt set up
Create an occasion of the category, use the ask methodology to ship a message to OpenAI, after which use the response to work together with ChatGPT by way of the ChatGPT class as an API.
from chatgpt_wrapper import ChatGPT
import time
immediate = “what’s coronavirus? clarify me in 2 3 strains”
bot = ChatGPT()
response = bot.ask(immediate)
print(“Immediate: “,immediate)
print(“Response: “,response)
That is the response we acquired from chatGPT API.
Step 3: Combine ChatGPT API with Flask Software
After our ChatGPT API acquired put in efficiently, it’s time to combine it with the flask utility.
Now we have to modify the flask app that we have now created in Step 1. Change your present code with the under code to get the consumer message’s response from ChatGPT.
from flask import Flask, request
import requests
from chatgpt_wrapper import ChatGPT
app = Flask(__name__)
def send_msg(msg,receiver_number):
headers = {
‘Authorization’: ‘Bearer VERIFICATION_TOKEN’,
}
json_data = {
‘messaging_product’: ‘whatsapp’,
‘to’: receiver_number,
‘sort’: ‘textual content’,
“textual content”: {
“physique”: msg
}
}
response = requests.submit(‘ headers=headers, json=json_data)
print(response.textual content)
@app.route(‘/receive_msg’, strategies=[‘POST’,’GET’])
def webhook():
res = request.get_json()
print(res)
attempt:
if res[‘entry’][0][‘changes’][0][‘value’][‘messages’][0][‘id’]:
chat_gpt_input=res[‘entry’][0][‘changes’][0][‘value’][‘messages’][0][‘text’][‘body’]
bot = ChatGPT()
response = bot.ask(chat_gpt_input)
print(“ChatGPT Response=>”,response)
receiver_number=res[‘entry’][0][‘changes’][0][‘value’][‘contacts’][0][‘wa_id’]
send_msg(response,receiver_number)
besides:
move
return ‘200 OK HTTPS.’
if __name__ == “__main__”:
app.run(debug=True)
Word:
Run the flask utility within the terminal: python SCRIPT_NAME.pyRun the ngrok on terminal: ngrok http 5000
Step 4: Check Chatbot
Now come again to the “Getting Began” web page as proven within the under picture and click on on the “Ship message” button.
For all occasions, together with message ship, message supply, and message learn, you’ll obtain a response in your Flask app on the receive_msg endpoint. The ChatGPT response will be checked on the server terminal as properly.
Right here is the ChatGPT response on our server.
You may as well examine the conversion with ChatGPT on WhatsApp
We hope that you’ve efficiently built-in the ChatGPT in WhatsApp and having enjoyable in utilizing it.
Additionally, take a look at our different tutorials to discover ways to construct a ChatGPT chatbot on completely different platforms.
Telegram Bot with ChatGPT: Construct An Automated, AI-Powered Telegram Chatbot With ChatGPT Utilizing Flask
Fb Messenger with ChatGPT: Construct An Automated, AI-Powered Fb Messenger Chatbot With ChatGPT Utilizing Flask
Slack Chatbot with ChatGPT: Construct An Automated, AI-Powered Slack Chatbot With ChatGPT Utilizing Flask
We’ve got already created a weblog submit collection the place we have now offered a tutorial on the right way to create a chatbot for various platforms. You may discover these blogs and study how one can set completely different sorts of wealthy responses which may enhance consumer engagement in your chatbot.
Telegram: Create Telegram Bot Utilizing Python Tutorial With Examples
Fb Messanger: Create Fb Messenger Bot Utilizing Python Tutorial With Examples
Slack: Create Slack Bot Utilizing Python Tutorial With Examples
Discord: Create Discord Bot Utilizing Python Tutorial With Examples
