Update README.md

Add `library_name` and update example code for `symupe==1.1.0 `

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: symupe
 license: cc-by-nc-sa-4.0
 datasets:
 - SyMuPe/PERiScoPe
@@ -34,41 +35,36 @@ Introduced in the paper: [**SyMuPe: Affective and Controllable Symbolic Music Pe
 
 ## Quick Start
 
-To use this model, ensure you have the `symupe` library installed (refer to the [GitHub repo](https://github.com/ilya16/SyMuPe) for installation instructions).
+Before using this model, ensure you have the `symupe` library installed:
+```shell
+pip install -U symupe
+```
+
+Use the following code to render performances:
 
 ```python
 import torch
 from symusic import Score
-
-from symupe.data.tokenizers import SyMuPe
-from symupe.inference import AutoGenerator, perform_score, save_performances
-from symupe.models import AutoModel
+from symupe import AutoGenerator
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-# Load the model and tokenizer directly from the Hub
-model = AutoModel.from_pretrained("SyMuPe/MLM-base").to(device)
-tokenizer = SyMuPe.from_pretrained("SyMuPe/MLM-base")
-
-# Prepare generator for the model
-generator = AutoGenerator.from_model(model, tokenizer, device=device)
-
-# Load score MIDI
-score_midi = Score("score.mid")
+# Build Generator by loading the model and tokenizer directly from the Hub
+generator = AutoGenerator.from_pretrained("SyMuPe/MLM-base", device=device)
+# model, tokenizer = generator.model, generator.tokenizer
 
 # Perform score MIDI (tokenization is handled inside)
-gen_results = perform_score(
-    generator=generator,
-    score=score_midi,
+gen_results = generator.perform_score(
+    "score.mid",
     use_score_context=True,
     num_samples=8,
-    seed=23
+    seed=23,
 )
 # gen_results[i] is PerformanceRenderingResult(...) containing:
 # - score_midi, score_seq, gen_seq, perf_seq, perf_midi, perf_midi_sus
 
-# Save performed MIDI files in a single directory
-save_performances(gen_results, out_dir="samples/mlm", save_midi=True)
+# Save performed MIDI files
+generator.save_performances(gen_results, out_dir="samples/mlm")
 ```
 
 ## License