Will combine sentences into paragraphs when exporting txt

buzz/transcriber/file_transcriber.py

@@ -118,9 +118,16 @@
 
     with open(path, "w", encoding="utf-8") as file:
         if output_format == OutputFormat.TXT:
-            for i, segment in enumerate(segments):
-                file.write(getattr(segment, segment_key))
-                file.write("\n")
+            combined_text = ""
+            previous_end_time = None
+
+            for segment in segments:
+                if previous_end_time is not None and (segment.start - previous_end_time) >= 2000:
+                    combined_text += "\n\n"
+                combined_text += getattr(segment, segment_key).strip() + " "
+                previous_end_time = segment.end
+
+            file.write(combined_text)
 
         elif output_format == OutputFormat.VTT:
             file.write("WEBVTT\n\n")

buzz/widgets/transcription_viewer/transcription_viewer_widget.py

@@ -206,9 +206,17 @@
             segments = self.transcription_service.get_transcription_segments(
                 transcription_id=self.transcription.id_as_uuid
             )
-            self.text_display_box.setPlainText(
-                " ".join(segment.text.strip() for segment in segments)
-            )
+
+            combined_text = ""
+            previous_end_time = None
+
+            for segment in segments:
+                if previous_end_time is not None and (segment.start_time - previous_end_time) >= 2000:
+                    combined_text += "\n\n"
+                combined_text += segment.text.strip() + " "
+                previous_end_time = segment.end_time
+
+            self.text_display_box.setPlainText(combined_text.strip())
             self.text_display_box.show()
             self.table_widget.hide()
         else: # ViewMode.TRANSLATION

docs/docs/usage/translations.md

@@ -4,7 +4,7 @@ title: Translations
 
 Default `Translation` task uses Whisper model ability to translate to English. Since version `1.0.0` Buzz supports additional AI translations to any other language. 
 
-To use translation feature you will need to configure OpenAI API key and translation settings. Set OpenAI API ket in Preferences. Buzz also supports custom locally running translation AIs that support OpenAI API. For more information on locally running AIs see [ollama](https://ollama.com/blog/openai-compatibility) or [LM Studio](https://lmstudio.ai/). 
+To use translation feature you will need to configure OpenAI API key and translation settings. Set OpenAI API ket in Preferences. Buzz also supports custom locally running translation AIs that support OpenAI API. For more information on locally running AIs see [ollama](https://ollama.com/blog/openai-compatibility) or [LM Studio](https://lmstudio.ai/). For information on available custom APIs see this [discussion thread](https://github.com/chidiwilliams/buzz/discussions/827)
 
 To configure translation for Live recordings enable it in Advances settings dialog of the Live Recording settings. Enter AI model to use and prompt with instructions for the AI on how to translate. Translation option is also available for files that already have speech recognised. Use Translate button on transcription viewer toolbar.
 

tests/transcriber/transcriber_test.py

@@ -18,7 +18,7 @@ def test_to_timestamp(self):
 @pytest.mark.parametrize(
     "output_format,output_text",
     [
-        (OutputFormat.TXT, "Bien\nvenue dans\n"),
+        (OutputFormat.TXT, "Bien venue dans "),
         (
             OutputFormat.SRT,
             "1\n00:00:00,040 --> 00:00:00,299\nBien\n\n2\n00:00:00,299 --> 00:00:00,329\nvenue dans\n\n",

tests/widgets/export_transcription_menu_test.py

@@ -61,4 +61,4 @@ def test_should_export_segments(
         widget.actions()[0].trigger()
 
         with open(output_file_path, encoding="utf-8") as output_file:
-            assert "Bien\nvenue dans" in output_file.read()
+            assert "Bien venue dans" in output_file.read()