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import gradio as gr
import openai
import os
# Set up OpenAI API credentials
openai.api_key = os.environ["api"]
# Define function to generate copy
def generate_copy(brand_name, description, occasion):
prompt = f"Generate a copy for {brand_name} for {occasion} occasion. Make it professional and engaging, with creative usage of words based on the occasion. Puns if needed. {description}"
model_engine = "text-davinci-003" # Use the most advanced and expensive GPT-3 model
# Call OpenAI's GPT-3 model to generate the copy
response = openai.Completion.create(
engine=model_engine,
prompt=prompt,
max_tokens=120,
n=1,
stop=None,
temperature=0.5,
)
# Extract and return the generated copy from the response
return response.choices[0].text.strip()
# Define inputs using Gradio library
inputs = [
gr.inputs.Textbox(label="Brand/Business Name"),
gr.inputs.Textbox(label="Description"),
gr.inputs.Textbox(label="Occasion")
]
# Define outputs using Gradio library
outputs = gr.outputs.Textbox(label="Copy")
# Define Gradio interface
gr.Interface(generate_copy, inputs, outputs, title="Copy Generator", description="Generate copy for your brand or business").launch()
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