app.py

import json
import requests
import gradio as gr
import random
import time
import os
import datetime
from datetime import datetime
import openai

#print('for update')

HRA_TOKEN=os.getenv("HRA_TOKEN")

from langchain.agents import load_tools, Tool, initialize_agent
from langchain.llms import OpenAI
from langchain.agents import ZeroShotAgent, Tool, AgentExecutor
from langchain.agents import initialize_agent, Tool
from langchain import LLMChain
from langchain import PromptTemplate



headers = {'Content-type': 'application/json', 'Accept': 'text/plain'}
url_decodemprompts='https://us-central1-createinsightsproject.cloudfunctions.net/gethrahfprompts'

data={"prompt_type":'chatgpt_blog',"hra_token":HRA_TOKEN}
try:
    r = requests.post(url_decodemprompts, data=json.dumps(data), headers=headers)
except requests.exceptions.ReadTimeout as e:
    print(e)
#print(r.content)

prompt=str(r.content, 'UTF-8')
print(prompt)
template=prompt.split('SEPERATOR')[0]
querieslist=prompt.split('SEPERATOR')[1].split(',')
titleslist=prompt.split('SEPERATOR')[2].split(',')


def getblog(text_inp1,text_inp2):
  print(text_inp1,text_inp2)
  print(datetime.today().strftime("%d-%m-%Y"))
  
  response_nsfw = requests.get('https://github.com/coffee-and-fun/google-profanity-words/raw/main/data/list.txt')
  data_nsfw = response_nsfw.text
  nsfwlist=data_nsfw.split('\n')
  nsfwlowerlist=[]
  for each in nsfwlist:
      if each!='':
        nsfwlowerlist.append(each.lower())
  
  foundnsfw=0
  for each_word in nsfwlowerlist:
    if each_word in text_inp1:
        foundnsfw=1
  if foundnsfw==1:
    error_msg="Unsafe content found. Please try again with different prompts."
    print(error_msg)
    return(error_msg)
      
  if text_inp2!='':
      template_tmp=template
      template_tmp=template_tmp.replace("{topic}",text_inp1).strip()
      llm = OpenAI(temperature=0,openai_api_key=text_inp2)
    
      prompt_template = PromptTemplate(
        input_variables=["query"],
        template=template_tmp
        )
    
      bloglist=[]
      for each in querieslist:
          query = each
    
    
          llm_chain = LLMChain(prompt=prompt_template, llm=llm,verbose=True)
          result=llm_chain.run(query)
          #print(result)
          bloglist.append(result)  
          
      blog=""+bloglist[len(bloglist)-1]+"\n\n"
      for i in range(len(bloglist)-1):
          temp=titleslist[i]+'\n'+bloglist[i]+'\n\n'
          blog+=temp
      print(blog)

      response_nsfw = requests.get('https://github.com/coffee-and-fun/google-profanity-words/raw/main/data/list.txt')
      data_nsfw = response_nsfw.text
      nsfwlist=data_nsfw.split('\n')
      nsfwlowerlist=[]
      for each in nsfwlist:
          if each!='':
            nsfwlowerlist.append(each.lower())
      
      foundnsfw=0
      for each_word in nsfwlowerlist:
        if each_word in blog.lower() or each_word in text_inp1:
            foundnsfw=1
      if foundnsfw==1:
        error_msg="Unsafe content found. Please try again with different prompts."
        print(error_msg)
        return(error_msg)
      else:
        return(blog)
  else:
      return "Enter OpenAPI key"

with gr.Blocks() as demo:
    with gr.Row():
        gr.Markdown("<h1><center>Everybody Can Blog</center></h1>")
        gr.Markdown(
            """Everybody can blog. Just enter a topic/ keyword & get a full blog from the ChatGPT model. See examples for guidance. Experience the power of Prompt Engineering."""
            )
    with gr.Row():
        with gr.Column():
            textbox1 = gr.Textbox(placeholder="Enter topic/ keyword (1-3 words) to generate blog...", lines=1,label='Topic')
            textbox2 = gr.Textbox(placeholder="Enter OpenAPI Key...", lines=1,label='OpenAPI Key')
        with gr.Column():
            btn = gr.Button("Generate")    
            output1 = gr.Textbox(lines=5,label='Blog')

    btn.click(getblog,inputs=[textbox1,textbox2], outputs=[output1])
    examples = gr.Examples(examples=['5G','Minimalism','Rock music','Electric Vehicles'],
                           inputs=[textbox1])
    

demo.launch()