Update app.py

app.py

@@ -3,11 +3,12 @@ from transformers import TFAutoModelForSeq2SeqLM, AutoTokenizer
 
 model_name = "piccora/transformers"
 model = TFAutoModelForSeq2SeqLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 def predict(question):
-    inputs = tokenizer_q(question, return_tensors="tf", padding=True)
+    inputs = tokenizer(question, return_tensors="tf", padding=True, truncation=True)
     outputs = model.generate(inputs["input_ids"], max_length=50)
-    answer = tokenizer_a.decode(outputs[0], skip_special_tokens=True)
+    answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return answer
 
 interface = gr.Interface(fn=predict, inputs="text", outputs="text")