OXIESEC PANEL

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📄 process.py	3.11 KB	05/09/2024 06:09:07 AM	rw-rw-r--
📄 pyvenv.cfg	206 bytes	05/09/2024 06:59:35 AM	rw-r--r--

Editing: process.py

# API key = sk-proj-FrlWqCTIyid7DZGorv0uT3BlbkFJzqrUB0km57kpp4aFPNV7
# Organisation id = org-pxYT08uLTCdYVPRmnn180ZwA
# Project id = proj_aN6BosDXudraB7y2MGFw7tIq

from openai import OpenAI
import sys, json, datetime

json_file = sys.argv[1]
with open(json_file, 'r') as file:
    json_data = json.load(file)

headline = json_data["headline"]
objective = json_data["objective"]
target_grp = json_data["target_grp"]
keywords = json_data["keywords"]
typeofarticle = json_data["typeofarticle"]
no_of_keywords = json_data["no_of_words"]
outline = json_data["outline"]
primary_src = json_data["primary_src"]
secondary_src = json_data["secondary_src"]

def prompt(headline, objective, target_grp, keywords, typeofarticle, no_of_words, primary_source, secondary_source):
    if typeofarticle == "Press Release":
        prompt_message = f"You are an official Public Relational officer. You are issuing a press release for public consumption."
    else:
        prompt_message = f"You are a writer and you are writing an article."
    prompt_message += f"The headlines of the {typeofarticle} will be {headline}. The objective of the {typeofarticle} is {objective}. The {typeofarticle} is targeted to {target_grp}. The {typeofarticle} uses the following keywords: {keywords}."
    if typeofarticle == "Press Release":
        prompt_message +="give me the press release in json format where attributes are title, subtitle, date, location, body of the press release."
    else:
        prompt_message +="give me the article in json format where attributes are headline, subtitle, date, location, body of the article."
    prompt_message += f"Make sure that the size of the article should not exceed more than {no_of_words} words."
    prompt_message += f"Also refer the website{'s' if secondary_source else ''} mentioned: {primary_source}" + (f" and {secondary_source}" if secondary_source else "")
    return prompt_message

from_address = "Author,\nKnobly Cream\n+91 12345 67890"

def OpenAIGenerate(prompt, typeofarticle):
    client = OpenAI(api_key="sk-proj-FrlWqCTIyid7DZGorv0uT3BlbkFJzqrUB0km57kpp4aFPNV7")
    messages=[{"role": "system", "content": "You are a professional who is working for a famous newspaper company"}]
    if prompt:
        messages.append({"role":"user", "content":prompt})
        if typeofarticle == "Press Release":
            messages.append({"role":"system", "content": "Do not mention any press release or immediate release and location. generate only the body of the press release"})
        chat = client.chat.completions.create(
            model = "gpt-4",
            messages = messages
        )
    reply= chat.choices[0].message.content
    messages.append({"role":"assistant","content":reply})
    return reply

prompt_message = prompt(headline, objective, target_grp, keywords, typeofarticle, no_of_keywords, primary_src, secondary_src)
result = OpenAIGenerate(prompt_message, typeofarticle)
data = {"prompt": result}

with open('temp.json','w', encoding='utf-8') as f:
    json.dump(data, f, ensure_ascii=False, indent=4)

# print(prompt_message, "\n\n\n")
print(result)