Update app.py

app.py

@@ -102,7 +102,7 @@ QUANTIZATION = str(os.environ.get("QUANTIZATION", ""))
 
 # Batch inference file upload
 ENABLE_BATCH_INFER = bool(int(os.environ.get("ENABLE_BATCH_INFER", "1")))
-BATCH_INFER_MAX_ITEMS = int(os.environ.get("BATCH_INFER_MAX_ITEMS", "200"))
+BATCH_INFER_MAX_ITEMS = int(os.environ.get("BATCH_INFER_MAX_ITEMS", "100"))
 BATCH_INFER_MAX_FILE_SIZE = int(os.environ.get("BATCH_INFER_MAX_FILE_SIZE", "500"))
 BATCH_INFER_MAX_PROMPT_TOKENS = int(os.environ.get("BATCH_INFER_MAX_PROMPT_TOKENS", "4000"))
 BATCH_INFER_SAVE_TMP_FILE = os.environ.get("BATCH_INFER_SAVE_TMP_FILE", "./tmp/pred.json")
@@ -249,7 +249,7 @@ MODEL_TITLE = """
 
 MODEL_DESC = f"""
 <div style='display:flex; gap: 0.25rem; '>
-<a href='https://github.com/SeaLLMs/SeaLLMs'><img src='https://img.shields.io/badge/Github-Code-success'></a>
+<a href='https://github.com/damo-nlp-sg/seallms'><img src='https://img.shields.io/badge/Github-Code-success'></a>
 <a href='https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a> 
 <a href='https://huggingface.co/SeaLLMs/SeaLLM-Chat-13b'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-blue'></a> 
 <a href='https://arxiv.org/pdf/2312.00738.pdf'><img src='https://img.shields.io/badge/Paper-PDF-red'></a>
@@ -1143,7 +1143,7 @@ def _detect_lang(text):
     try:
         dlang = detect_lang(text)
     except Exception as e:
-        print(f'Error: {e}')
+        # print(f'Error: {e}')
         if "No features in text." in str(e):
             return "en"
         else: