Increase `max_length` of generated output.

Otherwise "Voice chat interface" example had following error:
```
ValueError: Input length of input_ids is 599, but `max_length` is set to 256. This can lead to unexpected behavior. You should consider increasing `max_length` or, better yet, setting `max_new_tokens`.
```

And "Audio analysis inference" example had following error:
```
ValueError: Input length of input_ids is 351, but `max_length` is set to 256. This can lead to unexpected behavior. You should consider increasing `max_length` or, better yet, setting `max_new_tokens`.
```

README.md

@@ -71,7 +71,7 @@ for message in conversation:
 inputs = processor(text=text, audios=audios, return_tensors="pt", padding=True)
 inputs.input_ids = inputs.input_ids.to("cuda")
 
-generate_ids = model.generate(**inputs, max_length=256)
+generate_ids = model.generate(**inputs, max_length=1024)
 generate_ids = generate_ids[:, inputs.input_ids.size(1):]
 
 response = processor.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
@@ -119,7 +119,7 @@ for message in conversation:
 inputs = processor(text=text, audios=audios, return_tensors="pt", padding=True)
 inputs.input_ids = inputs.input_ids.to("cuda")
 
-generate_ids = model.generate(**inputs, max_length=256)
+generate_ids = model.generate(**inputs, max_length=512)
 generate_ids = generate_ids[:, inputs.input_ids.size(1):]
 
 response = processor.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]