update

app.py

@@ -116,84 +116,71 @@ def perform_aste_inference(text, dataset):
 demo = gr.Blocks()
 
 with demo:
-
-    gr.Markdown("# <p align='center'>Aspect Sentiment Triplet Extraction !</p>")
-
-    gr.Markdown(
-        "Your input text should be no more than 80 words, that's the longest text we used in trainer. "
-        "However, you can try longer text in self-trainer "
-    )
-    gr.Markdown(
-        "**You don't need to split each Chinese (Korean, etc.) token as the provided,"
-        " just input the natural language text.**"
-    )
-    output_dfs = []
-
-
     with gr.Row():
-        with gr.Column():
-            aste_input_sentence = gr.Textbox(
-                placeholder="Leave this box blank and choose a dataset will give you a random example...",
-                label="Example:",
-            )
-            gr.Markdown(
-                "You can find code and dataset at [ASTE examples](https://github.com/yangheng95/PyABSA/examples-v2/aspect_sentiment_triplet_extration)"
-            )
-            aste_dataset_ids = gr.Radio(
-                choices=[dataset.name for dataset in ASTE.ASTEDatasetList()[:-1]],
-                value="Restaurant14",
-                label="Datasets",
-            )
-            aste_inference_button = gr.Button("Let's go!")
 
         with gr.Column():
-            aste_output_text = gr.TextArea(label="Example:")
-            aste_output_pred_df = gr.DataFrame(label="Predicted Triplets:")
-            aste_output_true_df = gr.DataFrame(label="Original Triplets:")
+            gr.Markdown("# <p align='center'>Aspect Sentiment Triplet Extraction !</p>")
+
+            with gr.Row():
+                with gr.Column():
+                    aste_input_sentence = gr.Textbox(
+                        placeholder="Leave this box blank and choose a dataset will give you a random example...",
+                        label="Example:",
+                    )
+                    gr.Markdown(
+                        "You can find code and dataset at [ASTE examples](https://github.com/yangheng95/PyABSA/tree/v2/examples-v2/aspect_sentiment_triplet_extration)"
+                    )
+                    aste_dataset_ids = gr.Radio(
+                        choices=[dataset.name for dataset in ASTE.ASTEDatasetList()[:-1]],
+                        value="Restaurant14",
+                        label="Datasets",
+                    )
+                    aste_inference_button = gr.Button("Let's go!")
+
+                    aste_output_text = gr.TextArea(label="Example:")
+                    aste_output_pred_df = gr.DataFrame(label="Predicted Triplets:")
+                    aste_output_true_df = gr.DataFrame(label="Original Triplets:")
+
+                    aste_inference_button.click(
+                        fn=perform_aste_inference,
+                        inputs=[aste_input_sentence, aste_dataset_ids],
+                        outputs=[aste_output_pred_df, aste_output_true_df, aste_output_text],
+                    )
 
-        aste_inference_button.click(
-            fn=perform_aste_inference,
-            inputs=[aste_input_sentence, aste_dataset_ids],
-            outputs=[aste_output_pred_df, aste_output_true_df, aste_output_text],
-        )
-
-
-    gr.Markdown(
-        "# <p align='center'>Multilingual Aspect-based Sentiment Analysis !</p>"
-    )
-    with gr.Row():
         with gr.Column():
-            atepc_input_sentence = gr.Textbox(
-                placeholder="Leave this box blank and choose a dataset will give you a random example...",
-                label="Example:",
-            )
             gr.Markdown(
-                "You can find the datasets at [github.com/yangheng95/ABSADatasets](https://github.com/yangheng95/ABSADatasets/tree/v1.2/datasets/text_classification)"
+                "# <p align='center'>Multilingual Aspect-based Sentiment Analysis !</p>"
             )
-            atepc_dataset_ids = gr.Radio(
-                choices=[dataset.name for dataset in ATEPC.ATEPCDatasetList()[:-1]],
-                value="Laptop14",
-                label="Datasets",
-            )
-            atepc_inference_button = gr.Button("Let's go!")
-
-        with gr.Column():
-            atepc_output_text = gr.TextArea(label="Example:")
-            atepc_output_df = gr.DataFrame(label="Prediction Results:")
-
-        atepc_inference_button.click(
-            fn=perform_atepc_inference,
-            inputs=[atepc_input_sentence, atepc_dataset_ids],
-            outputs=[atepc_output_df, atepc_output_text],
-        )
+            with gr.Row():
+                with gr.Column():
+                    atepc_input_sentence = gr.Textbox(
+                        placeholder="Leave this box blank and choose a dataset will give you a random example...",
+                        label="Example:",
+                    )
+                    gr.Markdown(
+                        "You can find the datasets at [github.com/yangheng95/ABSADatasets](https://github.com/yangheng95/ABSADatasets/tree/v1.2/datasets/text_classification)"
+                    )
+                    atepc_dataset_ids = gr.Radio(
+                        choices=[dataset.name for dataset in ATEPC.ATEPCDatasetList()[:-1]],
+                        value="Laptop14",
+                        label="Datasets",
+                    )
+                    atepc_inference_button = gr.Button("Let's go!")
+
+                    atepc_output_text = gr.TextArea(label="Example:")
+                    atepc_output_df = gr.DataFrame(label="Prediction Results:")
+
+                    atepc_inference_button.click(
+                        fn=perform_atepc_inference,
+                        inputs=[atepc_input_sentence, atepc_dataset_ids],
+                        outputs=[atepc_output_df, atepc_output_text],
+                    )
     gr.Markdown(
-        """### Repo: [PyABSA V2](https://github.com/yangheng95/PyABSA)
-                ### Author: [Heng Yang](https://github.com/yangheng95) (杨恒)
-                [![Downloads](https://pepy.tech/badge/pyabsa)](https://pepy.tech/project/pyabsa) 
-                [![Downloads](https://pepy.tech/badge/pyabsa/month)](https://pepy.tech/project/pyabsa)
-                """
-    )
-    gr.Markdown(
-        "This demo support many other language as well, you can try and explore the results of other languages by yourself."
+        """### GitHub Repo: [PyABSA V2](https://github.com/yangheng95/PyABSA)
+        ### Author: [Heng Yang](https://github.com/yangheng95) (杨恒)
+        [![Downloads](https://pepy.tech/badge/pyabsa)](https://pepy.tech/project/pyabsa) 
+        [![Downloads](https://pepy.tech/badge/pyabsa/month)](https://pepy.tech/project/pyabsa)
+        """
     )
+
 demo.launch()