Create app.py

app.py

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+import gradio as gr
+
+from happytransformer import HappyGeneration
+
+happy_gen = HappyGeneration("GPT-NEO", "DarwinAnim8or/GPT-DMV-125m")
+
+from happytransformer import GENSettings
+args_top_k = GENSettings(no_repeat_ngram_size=3, do_sample=True,top_k=80, temperature=0.4, max_length=50, early_stopping=False)
+
+def generate(text):
+    inputText = "PLATE: " + text + "\nREVIEW REASON CODE: "
+    
+    result = happy_gen.generate_text(inputText, args=args_top_k)
+    generated_text = result.text #returns generated text only
+
+    return generated_text
+
+examples = [
+    ["LUCH"],
+    ["LCDR"],
+    ["OOGA"],
+    ["BANANA"],
+    ["JJ BINKS"]
+]
+
+demo = gr.Interface(
+    fn=generate,
+    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
+    outputs=gr.outputs.Textbox(label="Generated Text"),
+    examples=examples
+)
+
+demo.launch()