V1

app.py

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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. {description}"
+    model_engine = "text-davinci-002" # 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=1024,
+      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.Dropdown(label="Occasion", choices=["Anniversary", "Birthday", "Holiday", "Other"])
+]
+
+# 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()