|
import openai |
|
import os |
|
import gradio as gr |
|
|
|
|
|
openai.api_key = os.environ["api"] |
|
model_engine = "text-davinci-003" |
|
|
|
|
|
def generate_website_content(product_name, product_description): |
|
|
|
prompt = (f"Write a full in-depth website content with mulitple sections for a product called '{product_name}'. " |
|
f"The product description is: '{product_description}' " |
|
f"The content should include proper SEO and keywords.") |
|
completions = openai.Completion.create(engine=model_engine, prompt=prompt, max_tokens=2048, n=1, stop=None, temperature=0.7) |
|
|
|
|
|
website_content = completions.choices[0].text |
|
|
|
return website_content |
|
|
|
|
|
input_components = [ |
|
gr.inputs.Textbox(label="Brand Name"), |
|
gr.inputs.Textbox(lines=5, label="Brand Description") |
|
] |
|
|
|
output_components = [ |
|
gr.outputs.Textbox(label="Website Content") |
|
] |
|
|
|
gr.Interface(fn=generate_website_content, inputs=input_components, outputs=output_components, title="Website Content Generator", ).launch() |
|
|