Update app.py

app.py

@@ -9,10 +9,10 @@ tokenizer = AutoTokenizer.from_pretrained("distilgpt2")
 def generate_text(inputs):
     responses = []
     for input_text in inputs:
-        input_tensor = tokenizer(input_text, return_tensors="pt")
+        input_tensor = tokenizer(input_text, return_tensors="pt", clean_up_tokenization_spaces=True)
         output = model.generate(**input_tensor)
         responses.append(tokenizer.decode(output[0], skip_special_tokens=True))
     return responses
 
 iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", allow_flagging="never")
-iface.launch(share=True)
+iface.launch(share=True)  # Adjust share=True based on your usage context