Add new tab Rename Speaker

state.py

@@ -209,16 +209,16 @@ def updateMultiSelect():
 # ---------------------------------------------------------------------------
 
 def store_speaker_clips(fname, annotations, waveform, sample_rate):
-    """Generate clips & segments and write them into session state."""
+    """Generate samples & segments and write them into session state."""
     clips, segments = utils.build_speaker_clips(annotations, waveform, sample_rate)
     st.session_state.speakerClips[fname]    = clips
     st.session_state.speakerSegments[fname] = segments
     st.session_state.speakerWaveforms[fname] = (waveform, sample_rate)
-    print(f"Generated {len(clips)} speaker clips for {fname}")
+    print(f"Generated {len(clips)} speaker samples for {fname}")
 
 
 def randomize_speaker_clip(file_index, speaker):
-    """Replace a speaker's clip with a freshly randomized one."""
+    """Replace a speaker's audio sample with a freshly randomized one."""
     segs         = st.session_state.speakerSegments.get(file_index, {}).get(speaker)
     waveform_data = st.session_state.speakerWaveforms.get(file_index)
     if not segs or waveform_data is None:
@@ -226,7 +226,7 @@ def randomize_speaker_clip(file_index, speaker):
     waveform, sample_rate = waveform_data
     new_clip = utils.get_randomized_clip(waveform, sample_rate, segs)
     st.session_state.speakerClips[file_index][speaker] = new_clip
-    print(f"Randomized clip for {speaker} in {file_index}")
+    print(f"Randomized sample for {speaker} in {file_index}")
 
 
 # ---------------------------------------------------------------------------
@@ -324,7 +324,7 @@ def run_analysis_loop(file_names, file_paths_dict, pipeline,
                 st.session_state.results[fname]        = (annotations, totalSeconds)
                 st.session_state.summaries[fname]      = {}
                 st.session_state.unusedSpeakers[fname] = list(annotations.labels())
-            with st.spinner(f"Generating clips {i+1}/{totalFiles}"):
+            with st.spinner(f"Generating audio samples {i+1}/{totalFiles}"):
                 store_speaker_clips(fname, annotations, waveform, sample_rate)
                 del waveform