Update app.py

app.py

@@ -9,7 +9,7 @@ Enter a word and a sentence that uses the word. We then generate a definition
 """
 
 
-def predict(word, example):
+def predict(word, example) -> str:
     input_text = f"define \"{word}\": {example}"
     output = model(input_text, truncation=True)
     output_text = output[0]["generated_text"]
@@ -17,13 +17,11 @@ def predict(word, example):
 
 
 gr.Interface(
-    fn=predict_from_inputs,
-    inputs=["text", "text", "text"],
+    fn=predict,
+    inputs=["text", "text"],
     outputs=[
-        gr.Textbox(label="word"), 
-        gr.Textbox(label="example sentence using word")
+        gr.Textbox(label="Generated definition")
     ],
-    
     title="Word definition", 
     description=description,
 ).launch()