yangheng commited on
Commit
b5b34c4
β€’
1 Parent(s): d1f6ff4
app.py CHANGED
@@ -11,9 +11,6 @@ download_all_available_datasets()
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  dataset_items = {dataset.name: dataset for dataset in ATEPC.ATEPCDatasetList()}
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- 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'
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-
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-
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  def get_example(dataset):
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  task = TaskCodeOption.Aspect_Polarity_Classification
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  dataset_file = detect_infer_dataset(dataset_items[dataset], task)
@@ -51,7 +48,6 @@ def perform_inference(text, dataset):
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  'confidence': [round(x, 4) for x in result['confidence']],
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  'position': result['position']
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  })
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- requests.get(URL)
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  return result, '{}'.format(text)
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@@ -86,7 +82,4 @@ with demo:
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  inputs=[input_sentence, dataset_ids],
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  outputs=[output_df, output_text])
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- gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=https://huggingface.co/spaces/yangheng/Multilingual-Aspect-Based-Sentiment-Analysis)")
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- gr.Markdown("![Visitors]({})".format(URL))
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-
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  demo.launch(share=True)
 
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  dataset_items = {dataset.name: dataset for dataset in ATEPC.ATEPCDatasetList()}
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  def get_example(dataset):
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  task = TaskCodeOption.Aspect_Polarity_Classification
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  dataset_file = detect_infer_dataset(dataset_items[dataset], task)
 
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  'confidence': [round(x, 4) for x in result['confidence']],
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  'position': result['position']
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  })
 
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  return result, '{}'.format(text)
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  inputs=[input_sentence, dataset_ids],
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  outputs=[output_df, output_text])
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  demo.launch(share=True)
checkpoints-v2.0.json CHANGED
@@ -1,89 +1 @@
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- {
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- "2.0.0.dev0+": {
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- "APC": {
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- "multilingual": {
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- "id": "",
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- "Training Model": "FAST-LSA-T-V2-Deberta",
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- "Training Dataset": "APCDatasetList.Multilingual",
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- "Language": "Multilingual",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.10.5+",
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- "Checkpoint File": "fast_lcf_bert_Multilingual_acc_82.66_f1_82.06.zip",
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- "Author": "H, Yang ([email protected])"
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- },
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- "english": {
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- "id": "",
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- "Training Model": "FAST-LSA-T-V2-Deberta",
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- "Training Dataset": "APCDatasetList.English",
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- "Language": "English",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.10.5+",
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- "Checkpoint File": "fast_lsa_t_v2_English_acc_82.21_f1_81.81.zip",
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- "Author": "H, Yang ([email protected])"
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- },
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- "chinese": {
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- "id": "",
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- "Training Model": "FAST-LSA-T-V2-Deberta",
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- "Training Dataset": "APCDatasetList.Chinese",
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- "Language": "Chinese",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.10.5+",
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- "Checkpoint File": "fast_lsa_t_v2_Chinese_acc_96.0_f1_95.1.zip",
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- "Author": "H, Yang ([email protected])"
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- }
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- },
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- "ATEPC": {
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- "multilingual": {
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- "id": "",
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- "Training Model": "FAST-LCF-ATEPC",
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- "Training Dataset": "ABSADatasets.Multilingual",
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- "Language": "Multilingual",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.16.0+",
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- "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_78.08_apcf1_77.81_atef1_75.41.zip",
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- "Author": "H, Yang ([email protected])"
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- },
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- "english": {
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- "id": "",
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- "Training Model": "FAST-LCF-ATEPC",
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- "Training Dataset": "ATEPCDatasetList.English",
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- "Language": "English",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.10.5+",
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- "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_82.36_apcf1_81.89_atef1_75.43.zip",
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- "Author": "H, Yang ([email protected])"
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- },
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- "chinese": {
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- "id": "",
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- "Training Model": "FAST-LCF-ATEPC",
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- "Training Dataset": "ATEPCDatasetList.Chinese",
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- "Language": "Chinese",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.10.5+",
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- "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.22_apcf1_95.32_atef1_78.73.zip",
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- "Author": "H, Yang ([email protected])"
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- }
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- },
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- "RNAC": {
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- "degrad_lstm": {
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- "id": "",
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- "Training Model": "LSTM",
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- "Training Dataset": "ABSADatasets.Multilingual",
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- "Language": "RNA",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.16.0+",
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- "Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip",
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- "Author": "H, Yang ([email protected])"
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- },
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- "degrad_bert": {
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- "id": "",
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- "Training Model": "MLP",
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- "Training Dataset": "Degrad",
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- "Language": "RNA",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.16.0+",
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- "Checkpoint File": "bert_mlp_degrad_acc_87.44_f1_86.99.zip",
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- "Author": "H, Yang ([email protected])"}
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- }
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- }
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- }
 
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+ {"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])"}}}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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emergency_notification.txt DELETED
@@ -1,4 +0,0 @@
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- PyABSA v2.x has been refactored; its APIs are now organized by NLP subtasks.
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- Due to many breaking changes, it is not compatible with 1.x versions.
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- If you need to use pretrained checkpoints, you can downgrade to 1.x versions.
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- Please feel free to provide your advice to improve PyABSA