Add app

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+from transformers import pipeline
+
+model = pipeline(model="marksverdhei/t5-base-define")
+model.model.config.max_length = 300
+
+description = """
+Enter a word and a sentence that uses the word. We then generate a definition
+"""
+
+
+def predict(word, example):
+    input_text = f"define \"{word}\": {example}"
+    output = model(input_text, truncation=True)
+    output_text = output[0]["generated_text"]
+    return output_text
+
+
+gr.Interface(
+    fn=predict_from_inputs,
+    inputs=["text", "text", "text"],
+    outputs=[
+        gr.Textbox(label="word"), 
+        gr.Textbox(label="example sentence using word")
+    ],
+    
+    title="Word definition", 
+    description=description,
+).launch()