AMET-SOLID: OpenAI Backend+Frontend using Python in Just 10 Minutes

Let us dive into Backend of OpenAI API First

To get API key, Pl. refer

https://platform.openai.com/api-keys

https://ametodl.blogspot.com/p/creating-chatbot-using-openai.html

Once you get the key, keep in safe place.

In Visual Studio, create folder, create usecase1.py file and write the following code.

In terminal

pip install openai.

In the following file usecase1.py,

change openai.api.key = "copy the above key with in quotes" as shown below:

import os
import openai
openai.api_key = "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"


completion = openai.ChatCompletion.create(
    model = "gpt-3.5-turbo",
    messages =[
        {"role" : "system", "content" : "You are intelligent Assistant"},
        {"role" : "user", "content" : "Write a slogan for Annamalai University" }
     ],    #max_tokens = 5,
    #max_tokens = 50,
    temperature = 0
#temperature = 2
)
print(completion.choices[0].message)

Run to get similar response as shown below:

{
   "role": "assistant",
   "content": "\"Empowering Minds, Enriching Futures: Annamalai University\""
 }

-----------------------------------------------------------------------------------

Let us dive into frontend of OpenAI.API Next

First we will modify the above as below for backend: as usecase2.py in the same project folder

import os
import openai
openai.api_key = "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"
def get_response(query):
    completion = openai.ChatCompletion.create(
        model = "gpt-3.5-turbo",
        messages =[
            {"role" : "system", "content" : "You are intelligent Assistant"},
            {"role" : "user", "content" : query }
        ],
        #max_tokens = 5,
        #max_tokens = 50,
        temperature = 0
        #temperature = 2
    )

    return(completion.choices[0].message["content"])
    

For this in terminal,

pip install streamlit

open a new file app.py and type the below lines

import streamlit as st
st.title("AUCSE ChatBot")

To check, pl run in terminal prompt streamlit run app.py

Welcome to Streamlit!

      If you’d like to receive helpful onboarding emails, news, offers, promotions,
      and the occasional swag, please enter your email address below. Otherwise,
      leave this field blank.

      Email:

Again modify app.py as shown below:

import streamlit as st
st.title("AUCSE ChatBot")

# Welcome to Streamlit!

#       If you’d like to receive helpful onboarding emails, news, offers, promotions,
#       and the occasional swag, please enter your email address below. Otherwise,
#       leave this field blank.

#       Email:
# to test fronend in browser

# with st.form("AUCHATFORM"):
#     query=st.text_area("Query:", "Ask any Question? ") 
#     submit = st.form_submit_button("Submit")
#     if submit:
#         st.info("hello cse")

#to connect backend
from usecase2 import get_response
with st.form("AUCHATFORM"):
    query=st.text_area("Query:", "Ask any Question? ") 
    submit = st.form_submit_button("Submit")
    if submit:
       response = get_response(query)
       st.info(response)