Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load model (You can replace this with any model like GPT-2 or your custom one)
+generator = pipeline("text-generation", model="gpt2")
+
+def generate_description(title, tags):
+    prompt = f"Generate an SEO-friendly product description for a product titled '{title}' with tags: {tags}."
+    result = generator(prompt, max_length=100, num_return_sequences=1)
+    return result[0]['generated_text']
+
+# Gradio UI
+interface = gr.Interface(
+    fn=generate_description,
+    inputs=[
+        gr.Textbox(label="Product Title"),
+        gr.Textbox(label="Tags (comma-separated)")
+    ],
+    outputs=gr.Textbox(label="Generated Description"),
+    title="E-Commerce Product Description Generator",
+    description="Enter product title and tags to generate an SEO-optimized product description."
+)
+
+interface.launch()