app.py

app.py

@@ -0,0 +1,22 @@
+from transformers import pipeline
+import gradio as gr
+
+# Path to our model on Hugging Face Hub
+model_path = "umaru97/gpt2-product-review-generation"
+
+# Load model from hub and create a text-generation pipeline
+get_completion = pipeline("text-generation", model=model_path)
+
+def text_generation(input):
+    output = get_completion(input)
+    return output[0]['generated_text']
+
+gr.close_all()
+demo = gr.Interface(fn=text_generation,
+                    inputs=[gr.Textbox(label="Text to start", lines=1)],
+                    outputs=[gr.Textbox(label="Result", lines=3)],
+                    title="Text generation with GPT-2",
+                    description="This demo would generate TV and tablet product reviews.",
+                    examples=['The TV', 'The tablet']
+                   )
+demo.launch()