Update translations/en.py

translations/en.py

@@ -111,7 +111,6 @@ MORPHOSYNTACTIC = {
 
 SEMANTIC = {
     # A
-
     # C
     'chat_title': "Semantic Analysis Chat",
     'chat_placeholder': "Ask a question or use a command (/summary, /entities, /sentiment, /topics, /concept_graph, /entity_graph, /topic_graph)",
@@ -119,6 +118,7 @@ SEMANTIC = {
     'conceptual_relations': "Conceptual Relations",
     # D
     'delete_file': "Delete file",
+    'download_semantic_network_graph': "Download semantic network graph",
     # E
     'error_message': "There was a problem saving the semantic analysis. Please try again.",
     # F
@@ -143,6 +143,11 @@ SEMANTIC = {
     'no_file': "Please upload a file to start the analysis.",
     'no_file_selected': "Please select an archive to start the analysis.",
     # S
+    'semantic_graph_interpretation': "Semantic Graph Interpretation",
+    'semantic_arrow_meaning': "Arrows indicate the direction of the relationship between concepts",
+    'semantic_color_meaning': "More intense colors indicate more central concepts in the text",
+    'semantic_size_meaning': "Node size represents concept frequency",
+    'semantic_thickness_meaning': "Line thickness indicates connection strength",    
     'semantic_title': "Semantic Analysis",
     'semantic_initial_message': "This is a general-purpose chatbot, but it has a specific function for visual text analysis: it generates a graph with the main entities of the text. To produce it, enter a text file in txt, pdf, doc, docx or odt format and press the 'analyze file' button. After generating the graph, you can interact with the chat based on the document.",
     'send_button': "Send",