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README.md

@@ -21,8 +21,8 @@ GO-GPT is a decoder-only transformer model for predicting Gene Ontology (GO) ter
 
 1. Clone the repository:
 ```bash
-git clone https://github.com/YOUR_ORG/gogpt
-cd gogpt
+git clone https://github.com/bowang-lab/BioReason-Pro
+cd BioReason-Pro/gogpt
 ```
 
 2. Run the inference notebook or use Python directly:
@@ -33,7 +33,7 @@ sys.path.insert(0, "src")
 from gogpt import GOGPTPredictor
 
 # Load from HuggingFace (downloads ~4GB on first run)
-predictor = GOGPTPredictor.from_pretrained("armansa1/gogpt-dev")
+predictor = GOGPTPredictor.from_pretrained("wanglab/gogpt")
 
 # Predict GO terms
 predictions = predictor.predict(
@@ -42,9 +42,9 @@ predictions = predictor.predict(
 )
 
 print(predictions)
-# {'MF': ['GO:0003674', 'GO:0005488', ...],
-#  'BP': ['GO:0008150', 'GO:0008152', ...],
-#  'CC': ['GO:0005575', 'GO:0110165', ...]}
+# {"MF": ["GO:0003674", "GO:0005488", ...],
+#  "BP": ["GO:0008150", "GO:0008152", ...],
+#  "CC": ["GO:0005575", "GO:0110165", ...]}
 ```
 
 ## Model Architecture