Upload Web_gen.py

Web_gen.py

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+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)