| import openai | |
| import gradio as gr | |
| # Use the openai API key | |
| openai.api_key = "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" | |
| model_engine = "text-davinci-003" | |
| # Function to generate website content based on product name and description | |
| def generate_website_content(product_name, product_description): | |
| # Use the OpenAI API to generate website content | |
| 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) | |
| # Get the generated website content | |
| website_content = completions.choices[0].text | |
| return website_content | |
| # Create the Gradio interface | |
| 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(share=True) | |