app.py

import gradio as gr
import os
import openai
import requests
import json
import pandas as pd
import difflib



prompt_templates = {}
question_templates = {}

def download_prompt_templates2():
    url = "https://raw.githubusercontent.com/f/awesome-chatgpt-prompts/main/prompts.csv"
    response = requests.get(url)

    for line in response.text.splitlines()[1:]:
        act, prompt = line.split('","')
        prompt_templates[act.replace('"', '')] = prompt.replace('"', '')

    choices = list(prompt_templates.keys())
    return choices


def download_question_templates2():
    url = "https://raw.githubusercontent.com/f/awesome-chatgpt-prompts/main/prompts.csv"
    response = requests.get(url)

    for line in response.text.splitlines()[1:]:
        act, prompt = line.split('","')
        question_templates[act.replace('"', '')] = prompt.replace('"', '')

    choices = list(question_templates.keys())
    return choices
    
def getQuestionAndPrompt():
    choice1=download_question_templates2()
    choice2=download_prompt_templates2()
    return choice1,choice2

#use for search
def getPromptByPromptType(promptType):
    # if(True):
    #     promptType="blog"
    #     match = difflib.get_close_matches(promptType, ["blog1","blog2"])
    #     print(match)
    #     return match

    table_df = pd.read_csv("prompts.csv", header=0,usecols=["act","prompt"])
    table_jsonStr=table_df.to_json(orient="records")
    table_json=json.loads(table_jsonStr)
    
    
    listA = []
    matchList=[]
    matchStr=""
    for item in table_json:
        print(item['prompt'])
        isMatchFlag=False
        if promptType in item['prompt']:
            isMatchFlag=True
        if promptType.lower() in item['prompt']:
            isMatchFlag=True
        if promptType.upper() in item['prompt']:
            isMatchFlag=True
        if isMatchFlag:
            match = item['prompt']
            matchStr=matchStr+match+"||||"
            
           

    return matchStr
        
    

question_textbox = gr.Textbox(label="", lines=10)
prompt_textbox = gr.Textbox(label="", lines=10)

promptType_textbox = gr.Textbox(label="", lines=2)
json_output=gr.JSON(label="Output", visible=True)
jsonstr_output = gr.Textbox(label="", lines=10)
gr.Interface(fn=getPromptByPromptType,
             inputs=[promptType_textbox],
             outputs=[jsonstr_output]).launch()