pt -> en

app.py

@@ -399,11 +399,11 @@ if __name__ == "__main__":
     with gr.Blocks() as demo:
         with gr.Row():
             with gr.Column(scale=1, min_width=300):
-                gr.Markdown("### Sumarização Automática de Textos + Avaliação de Resumos\n Projeto de Pesquisa de Ciência de Dados aplicada ao Portfólio de Produtos Financeiros - PPF-MCTI")
+                gr.Markdown("### Automatic Text Summarization + Summary Evaluation\n Data Science Research Project Applied to the Portfolio of Financial Products (PPF-MCTI)")
                 with gr.Row():
                     with gr.Column(scale=1, min_width=300):
                         dropdown = gr.Dropdown(
-                            label="Método de Sumarização",
+                            label="Summarization Method",
                             choices=[
                                 "SumyRandom",
                                 "SumyLuhn",
@@ -422,70 +422,70 @@ if __name__ == "__main__":
                         )
                     with gr.Column(scale=1, min_width=300):
                         compression_ratio = gr.Slider(
-                            label="Taxa de Compressão (% do tamanho original)",
+                            label="Compression Rate (% of original length)",
                             value=10,
                             minimum=1,
                             maximum=100,
                         )
-                        use_golden = gr.Checkbox(label="Avaliar usando Golden Summary?")
-                with gr.Tab("Texto"):
+                        use_golden = gr.Checkbox(label="Evaluate using Golden Summary?")
+                with gr.Tab("Text"):
                     with gr.Row():
                         with gr.Column(scale=1, min_width=300):
                             text = gr.Textbox(
-                                label="Texto",
-                                placeholder="Insira seu texto aqui",
+                                label="Text",
+                                placeholder="Insert text here",
                             )
                             golden = gr.Textbox(
                                 label="Golden Summary",
-                                placeholder="Insira o resumo ideal do texto aqui (opcional)",
+                                placeholder="Insert Golden Summary here (optional)",
                             )
                         with gr.Column(scale=1, min_width=300):
-                            generated_summary = gr.Textbox(label="Resumo gerado automaticamente")
-                            evaluators = gr.Textbox(label="Avaliação do resumo")
-                    text_button = gr.Button("Executar")
+                            generated_summary = gr.Textbox(label="Automatically generated summary")
+                            evaluators = gr.Textbox(label="Summary evaluation")
+                    text_button = gr.Button("Run")
                 with gr.Tab("CSV"):
                     with gr.Column(scale=1, min_width=300):
                         gr.Checkbox(
-                            label="Insira abaixo um arquivo CSV com uma coluna de textos a serem sumarizados. Caso opte por avaliar usando golden summaries, estes deverão estar presentes em outra coluna.",
+                            label="Upload a .csv file below with a column containing texts to be summarized. Golden summaries should be in a different column, if any",
                             value=False,
                             interactive=False,
                         )
                         with gr.Row():
                             with gr.Column(scale=1, min_width=300):
                                 with gr.Row():
-                                    text_column = gr.Textbox(label="Coluna a ser sumarizada", placeholder="text")
-                                    golden_column = gr.Textbox(label="Coluna de golden summaries, caso exista", placeholder="golden")
+                                    text_column = gr.Textbox(label="Texts column title", placeholder="text")
+                                    golden_column = gr.Textbox(label="Golden Summaries column title (optional)", placeholder="golden")
                                 n_csv = gr.Number(
-                                    label="Número de resumos gerados a serem avaliados (0 = Todos)",
+                                    label="Number of summaries to be evaluated (0 = All)",
                                     precision=0,
                                     value=30,
                                     interactive=True,
                                 )
-                                csv_input = gr.File(label="Arquivo .csv de textos")
+                                csv_input = gr.File(label=".csv file with texts")
                             with gr.Column(scale=1, min_width=300):
-                                csv_output = gr.Files(label="Arquivo .csv de resumos")
-                                csv_evaluators = gr.Textbox(label="Avaliação dos resumos")
-                        csv_button = gr.Button("Executar")
+                                csv_output = gr.Files(label=".csv file with summaries")
+                                csv_evaluators = gr.Textbox(label="Summary evaluation (average)")
+                        csv_button = gr.Button("Run")
                 with gr.Tab("DataFrame"):
                     with gr.Column(scale=1, min_width=300):
                         gr.Checkbox(
-                            label="Preencha o DataFrame abaixo com textos a serem sumarizados. Caso opte por avaliar usando golden summaries, estes deverão estar presentes na segunda coluna.",
+                            label="Add texts and golden summaries (optional) to the DataFrame below.",
                             value=False,
                             interactive=False,
                         )
                         with gr.Row():
                             with gr.Column(scale=1, min_width=300):
                                 n_df = gr.Number(
-                                    label="Número de resumos gerados a serem avaliados (0 = Todos)",
+                                    label="Number of summaries to be evaluated (0 = All)",
                                     precision=0,
                                     value=5,
                                     interactive=True,
                                 )
                                 df_input = gr.DataFrame(headers=["Texto", "Golden Summary"], row_count=(1, "dynamic"), col_count=(2, "fixed"))
                             with gr.Column(scale=1, min_width=300):
-                                df_output = gr.Files(label="Arquivo .csv de resumos")
-                                df_evaluators = gr.Textbox(label="Avaliação dos resumos")
-                        df_button = gr.Button("Executar")
+                                df_output = gr.Files(label=".csv file with summaries")
+                                df_evaluators = gr.Textbox(label="Summary evaluation (average)")
+                        df_button = gr.Button("Run")
 
             text_button.click(run, inputs=[dropdown, text, compression_ratio, use_golden, golden], outputs=[generated_summary, evaluators])
             csv_button.click(run_csv, inputs=[dropdown, csv_input, text_column, n_csv, golden_column, compression_ratio, use_golden], outputs=[csv_output, csv_evaluators])