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copywriting_quest.py
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copywriting_quest.py
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import time
import os
import json
import openai
import streamlit as st
from streamlit_lottie import st_lottie
from tenacity import retry, stop_after_attempt, wait_random_exponential
def main():
set_page_config()
custom_css()
hide_elements()
sidebar()
title_and_description()
input_section()
def set_page_config():
st.set_page_config(
page_title="Alwrity",
layout="wide",
page_icon="img/logo.png"
)
def custom_css():
st.markdown("""
<style>
.block-container {
padding-top: 0rem;
padding-bottom: 0rem;
padding-left: 1rem;
padding-right: 1rem;
}
</style>
""", unsafe_allow_html=True)
st.markdown("""
<style>
[class="st-emotion-cache-7ym5gk ef3psqc12"] {
display: inline-block;
padding: 5px 20px;
background-color: #4681f4;
color: #FBFFFF;
width: 300px;
height: 35px;
text-align: center;
text-decoration: none;
font-size: 16px;
border-radius: 8px;
}
</style>
""", unsafe_allow_html=True)
def hide_elements():
hide_decoration_bar_style = '<style>header {visibility: hidden;}</style>'
st.markdown(hide_decoration_bar_style, unsafe_allow_html=True)
hide_streamlit_footer = '<style>#MainMenu {visibility: hidden;} footer {visibility: hidden;}</style>'
st.markdown(hide_streamlit_footer, unsafe_allow_html=True)
def sidebar():
st.sidebar.image("img/alwrity.jpeg", use_column_width=True)
st.sidebar.markdown("🧕 :red[Checkout Alwrity], complete **AI writer & Blogging solution**:[Alwrity](https://alwrity.netlify.app)")
def title_and_description():
st.title("✍️ Alwrity - AI Generator for QUEST Copywriting Formula")
with st.expander("What is **QUEST Copywriting Formula** & **How to Use**? 📝❗"):
st.markdown('''
### What's QUEST Copywriting Formula, and How to use this AI generator 🗣️
---
#### QUEST Copywriting Formula
QUEST is an acronym for Question-Unpack-Emphasize-Solution-Transform. It's a copywriting framework that focuses on guiding the audience through different stages:
1. **Question**: Presenting a thought-provoking question to engage the audience.
2. **Unpack**: Unpacking the question by elaborating on its implications and relevance.
3. **Emphasize**: Emphasizing the importance or significance of the topic.
4. **Solution**: Presenting your product or service as the solution to the question.
5. **Transform**: Describing the transformation or improvement your solution offers.
The QUEST formula helps in creating engaging and persuasive copy that leads the audience to explore the solution.
#### QUEST Copywriting Formula: Simple Example
- **Question**: "Ever wondered how to boost your productivity?"
- **Unpack**: "Let's delve into the strategies and tools that can help you achieve more in less time."
- **Emphasize**: "Productivity is key to success in today's fast-paced world."
- **Solution**: "Our productivity app provides a seamless solution to streamline your workflow."
- **Transform**: "Experience a new level of efficiency and effectiveness with our app."
---
''')
def input_section():
with st.expander("**PRO-TIP** - Easy Steps to Create Compelling QUEST Copy", expanded=True):
col1, space, col2 = st.columns([5, 0.1, 5])
with col1:
brand_name = st.text_input('Enter Brand/Company Name',
help="Enter the name of your brand or company.")
question = st.text_input('Present a Thought-Provoking Question to Engage Your Audience',
help="Pose a question that resonates with your audience.",
placeholder="Cities less polluted? future of remote work? Stress Free holidays ?")
solution = st.text_input(f'Present Your Product or Service as the Solution for {brand_name}\'s Audience',
help="Introduce your product or service as the solution to the question.",
placeholder="Our new app reduces, Our team ensures comfort, App is fastest...")
with col2:
unpack = st.text_input(f'Elaborate on the Question by Unpacking its Implications',
help="Provide context and detail to the question.",
placeholder="Environmental impact, societal benefits, Safe travels, Better service...")
emphasize = st.text_input(f'Emphasize the Importance or Significance of the Topic',
help="Highlight the relevance and impact of the topic.",
placeholder="Sustainability is crucial, Relaxed holidays, Faster services, Support...")
if st.button('**Get QUEST Copy**'):
if question.strip() and unpack.strip() and emphasize.strip() and solution.strip():
with st.spinner("Generating QUEST Copy..."):
quest_copy = generate_quest_copy(brand_name, question, unpack, emphasize, solution)
if quest_copy:
st.subheader('**👩🔬👩🔬 Your QUEST Copy**')
st.markdown(quest_copy)
else:
st.error("💥 **Failed to generate QUEST copy. Please try again!**")
else:
st.error("All fields are required!")
page_bottom()
@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))
def generate_quest_copy(brand_name, question, unpack, emphasize, solution):
prompt = f"""As an expert copywriter, I need your help in creating a marketing campaign for {brand_name}.
Your task is to use the QUEST (Question-Unpack-Emphasize-Solution-Transform) formula to craft compelling copy.
Here's the breakdown:
- Question: {question}
- Unpack: {unpack}
- Emphasize: {emphasize}
- Solution: {solution}
Do not provide explanations, provide the final marketing copy.
"""
return openai_chatgpt(prompt)
def page_bottom():
"""Display the bottom section of the web app."""
data_oracle = import_json(r"lottie_files/brain_robot.json")
st_lottie(data_oracle, width=600, key="oracle")
st.markdown('''
Copywrite using QUEST Copywriting Formula - powered by AI (OpenAI, Gemini Pro).
Implemented by [Alwrity](https://alwrity.netlify.app).
Learn more about [Google's Stance on AI generated content](https://alwrity.netlify.app/post/googles-guidelines-on-using-ai-generated-content-everything-you-need-to-know).
''')
st.markdown("""
### Question:
Have you ever wondered how to boost your productivity?
### Unpack:
Let's delve into the strategies and tools that can help you achieve more in less time.
### Emphasize:
Productivity is key to success in today's fast-paced world.
### Solution:
Our productivity app provides a seamless solution to streamline your workflow.
### Transform:
Experience a new level of efficiency and effectiveness with our app.
""")
@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))
def openai_chatgpt(prompt, model="gpt-3.5-turbo-0125", max_tokens=500, top_p=0.9, n=1):
try:
client = openai.OpenAI(api_key=os.getenv('OPENAI_API_KEY'))
response = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": prompt}],
max_tokens=max_tokens,
n=n,
top_p=top_p
)
return response.choices[0].message.content
except openai.APIError as e:
st.error(f"OpenAI API Error: {e}")
except openai.APIConnectionError as e:
st.error(f"Failed to connect to OpenAI API: {e}")
except openai.RateLimitError as e:
st.error(f"Rate limit exceeded on OpenAI API request: {e}")
except Exception as err:
st.error(f"An error occurred: {err}")
# Function to import JSON data
def import_json(path):
with open(path, "r", encoding="utf8", errors="ignore") as file:
url = json.load(file)
return url
if __name__ == "__main__":
main()