update

app.py

@@ -11,9 +11,6 @@ download_all_available_datasets()
 
 dataset_items = {dataset.name: dataset for dataset in ATEPC.ATEPCDatasetList()}
 
-URL = 'https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fyangheng%2Fpyabsa_inference&label=Inference%20Count&labelColor=%2337d67a&countColor=%23f47373&style=flat&labelStyle=none'
-
-
 def get_example(dataset):
     task = TaskCodeOption.Aspect_Polarity_Classification
     dataset_file = detect_infer_dataset(dataset_items[dataset], task)
@@ -51,7 +48,6 @@ def perform_inference(text, dataset):
         'confidence': [round(x, 4) for x in result['confidence']],
         'position': result['position']
     })
-    requests.get(URL)
     return result, '{}'.format(text)
 
 
@@ -86,7 +82,4 @@ with demo:
                                inputs=[input_sentence, dataset_ids],
                                outputs=[output_df, output_text])
 
-    gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=https://huggingface.co/spaces/yangheng/Multilingual-Aspect-Based-Sentiment-Analysis)")
-    gr.Markdown("![Visitors]({})".format(URL))
-
 demo.launch(share=True)

checkpoints-v2.0.json

@@ -1,89 +1 @@
-{
-  "2.0.0.dev0+": {
-    "APC": {
-      "multilingual": {
-        "id": "",
-        "Training Model": "FAST-LSA-T-V2-Deberta",
-        "Training Dataset": "APCDatasetList.Multilingual",
-        "Language": "Multilingual",
-        "Description": "Trained on RTX3090",
-        "Available Version": "1.10.5+",
-        "Checkpoint File": "fast_lcf_bert_Multilingual_acc_82.66_f1_82.06.zip",
-        "Author": "H, Yang ([email protected])"
-      },
-      "english": {
-        "id": "",
-        "Training Model": "FAST-LSA-T-V2-Deberta",
-        "Training Dataset": "APCDatasetList.English",
-        "Language": "English",
-        "Description": "Trained on RTX3090",
-        "Available Version": "1.10.5+",
-        "Checkpoint File": "fast_lsa_t_v2_English_acc_82.21_f1_81.81.zip",
-        "Author": "H, Yang ([email protected])"
-      },
-      "chinese": {
-        "id": "",
-        "Training Model": "FAST-LSA-T-V2-Deberta",
-        "Training Dataset": "APCDatasetList.Chinese",
-        "Language": "Chinese",
-        "Description": "Trained on RTX3090",
-        "Available Version": "1.10.5+",
-        "Checkpoint File": "fast_lsa_t_v2_Chinese_acc_96.0_f1_95.1.zip",
-        "Author": "H, Yang ([email protected])"
-      }
-    },
-    "ATEPC": {
-      "multilingual": {
-        "id": "",
-        "Training Model": "FAST-LCF-ATEPC",
-        "Training Dataset": "ABSADatasets.Multilingual",
-        "Language": "Multilingual",
-        "Description": "Trained on RTX3090",
-        "Available Version": "1.16.0+",
-        "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_78.08_apcf1_77.81_atef1_75.41.zip",
-        "Author": "H, Yang ([email protected])"
-      },
-      "english": {
-        "id": "",
-        "Training Model": "FAST-LCF-ATEPC",
-        "Training Dataset": "ATEPCDatasetList.English",
-        "Language": "English",
-        "Description": "Trained on RTX3090",
-        "Available Version": "1.10.5+",
-        "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_82.36_apcf1_81.89_atef1_75.43.zip",
-        "Author": "H, Yang ([email protected])"
-      },
-      "chinese": {
-        "id": "",
-        "Training Model": "FAST-LCF-ATEPC",
-        "Training Dataset": "ATEPCDatasetList.Chinese",
-        "Language": "Chinese",
-        "Description": "Trained on RTX3090",
-        "Available Version": "1.10.5+",
-        "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.22_apcf1_95.32_atef1_78.73.zip",
-        "Author": "H, Yang ([email protected])"
-      }
-    },
-    "RNAC": {
-      "degrad_lstm": {
-        "id": "",
-        "Training Model": "LSTM",
-        "Training Dataset": "ABSADatasets.Multilingual",
-        "Language": "RNA",
-        "Description": "Trained on RTX3090",
-        "Available Version": "1.16.0+",
-        "Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip",
-        "Author": "H, Yang ([email protected])"
-      },
-        "degrad_bert": {
-            "id": "",
-            "Training Model": "MLP",
-            "Training Dataset": "Degrad",
-            "Language": "RNA",
-            "Description": "Trained on RTX3090",
-            "Available Version": "1.16.0+",
-            "Checkpoint File": "bert_mlp_degrad_acc_87.44_f1_86.99.zip",
-          "Author": "H, Yang ([email protected])"}
-    }
-  }
-}
+{"2.0.0.dev0+": {"APC": {"multilingual": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_bert_Multilingual_acc_82.66_f1_82.06.zip", "Author": "H, Yang ([email protected])"}, "english": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.English", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lsa_t_v2_English_acc_82.21_f1_81.81.zip", "Author": "H, Yang ([email protected])"}, "chinese": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.Chinese", "Language": "Chinese", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lsa_t_v2_Chinese_acc_96.0_f1_95.1.zip", "Author": "H, Yang ([email protected])"}}, "ATEPC": {"multilingual": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ABSADatasets.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_78.08_apcf1_77.81_atef1_75.41.zip", "Author": "H, Yang ([email protected])"}, "english": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ATEPCDatasetList.English", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_82.36_apcf1_81.89_atef1_75.43.zip", "Author": "H, Yang ([email protected])"}, "chinese": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ATEPCDatasetList.Chinese", "Language": "Chinese", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.22_apcf1_95.32_atef1_78.73.zip", "Author": "H, Yang ([email protected])"}}, "RNAC": {"degrad_lstm": {"id": "", "Training Model": "LSTM", "Training Dataset": "ABSADatasets.Multilingual", "Language": "RNA", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip", "Author": "H, Yang ([email protected])"}, "degrad_bert": {"id": "", "Training Model": "MLP", "Training Dataset": "Degrad", "Language": "RNA", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "bert_mlp_degrad_acc_87.44_f1_86.99.zip", "Author": "H, Yang ([email protected])"}}}}

checkpoints/RNA/RNAC/{lstm_degrad_acc_85.26_f1_84.62.zip → lstm_degrad_acc_83.4_f1_83.21.zip}

@@ -1,3 +1,3 @@
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+size 11112068

checkpoints/RNA/RNAC/{bert_mlp_degrad_acc_87.44_f1_86.99.zip → lstm_degrad_acc_83.83_f1_83.69.zip}

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checkpoints/RNA/RNAC/lstm_degrad_acc_84.07_f1_83.92.zip

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checkpoints/RNA/RNAC/lstm_degrad_acc_84.15_f1_84.02.zip

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checkpoints/RNA/RNAC/lstm_degrad_acc_84.16_f1_84.03.zip

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checkpoints/RNA/RNAC/lstm_degrad_acc_84.49_f1_84.37.zip

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checkpoints/RNA/RNAC/lstm_degrad_acc_84.61_f1_84.46.zip

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emergency_notification.txt

@@ -1,4 +0,0 @@
-PyABSA v2.x has been refactored; its APIs are now organized by NLP subtasks. 
-Due to many breaking changes, it is not compatible with 1.x versions.
-If you need to use pretrained checkpoints, you can downgrade to 1.x versions.
-Please feel free to provide your advice to improve PyABSA