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README.md

@@ -1,13 +1,13 @@
 ---
-title: Multilingual Aspect Based Sentiment Analysis
-emoji: 🌖
-colorFrom: green
+title: PyABSA
+emoji: 👋
+colorFrom: pink
 colorTo: green
 sdk: gradio
-sdk_version: 5.8.0
+sdk_version: 4.36.1
 app_file: app.py
-pinned: false
+pinned: true
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -162,7 +162,7 @@ def perform_aste_inference(text, dataset):
     result = triplet_extractor.predict(text)
 
     pred_triplets = pd.DataFrame(result["Triplets"])
-    true_triplets = pd.DataFrame(result["True Triplets"])
+    true_triplets = pd.DataFrame(result["True Triplets"]) if result["True Triplets"] else None
     return pred_triplets, true_triplets, "{}".format(text.split("####")[0])
 
 
@@ -180,6 +180,8 @@ def perform_acos_inference(text, dataset):
 
 
 def run_demo(text, dataset, task):
+    if len(text) > 3000:
+        raise RuntimeError('Text is too long!')
     try:
         data = {
             "text": text,

requirements.txt

@@ -1,3 +1,2 @@
 pyabsa>=2.1.12
-transformers<=4.29.0
-setuptools<65
+transformers<=4.29.0