webui/app.py

@@ -181,7 +181,14 @@ def _whisper_transcribe(path: str) -> str:
     try:
         if _whisper_model is None:
             from faster_whisper import WhisperModel
-            _whisper_model = WhisperModel("small", device="cpu", compute_type="int8")
+            # "small" mis-heard casual contractions as formal phrasing on
+            # short/quiet clips (e.g. "it's gonna" -> "it is going to be") -
+            # "medium" is noticeably more faithful to actual speech patterns
+            # at the cost of a few more seconds per transcription on CPU,
+            # worth it since this check exists specifically to catch content
+            # problems - a transcript that itself distorts casual speech
+            # defeats that purpose.
+            _whisper_model = WhisperModel("medium", device="cpu", compute_type="int8")
         segments, _ = _whisper_model.transcribe(path, language="en", beam_size=5)
         return " ".join(s.text.strip() for s in segments)
     except Exception as e:
@@ -625,7 +632,11 @@ with gr.Blocks(title="Audio-demo pipeline studio") as demo:
                 with gr.Column():
                     gr.Markdown("## 2. Voice editor (AuK)")
                     current_ref_audio = gr.Audio(label="Current reference", type="filepath", interactive=False)
-                    ref_transcript_box = gr.Textbox(label="Whisper transcript of current reference", interactive=False)
+                    ref_transcript_box = gr.Textbox(
+                        label="Whisper transcript of current reference (editable - fix any mis-hearing before using it)",
+                        info="Whisper can mishear casual speech as more formal phrasing on short/quiet clips (e.g. \"it's gonna\" -> \"it is going to be\") - correct it here before sending it anywhere.",
+                    )
+                    use_ref_transcript_btn = gr.Button("Use this transcript as 'Text to speak' →")
                     history_label = gr.Markdown("No reference set yet.")
                     model_dd = gr.Radio(
                         [MODEL_BASE, MODEL_FLASH], value=MODEL_BASE, label="AuK model",
@@ -702,7 +713,7 @@ with gr.Blocks(title="Audio-demo pipeline studio") as demo:
                     gen_language = gr.Dropdown(LANGUAGES, value="English", label="Language")
                     generate_btn = gr.Button("Generate speech", variant="primary")
                     generated_audio = gr.Audio(label="Generated speech", type="filepath")
-                    gen_transcript_box = gr.Textbox(label="Whisper transcript", interactive=False)
+                    gen_transcript_box = gr.Textbox(label="Whisper transcript of generated speech")
 
                     gr.Markdown("## 4. Save as a the-service-station character")
                     new_char_name = gr.Textbox(label="Name")
@@ -743,6 +754,7 @@ with gr.Blocks(title="Audio-demo pipeline studio") as demo:
                 generate_speech, inputs=[current_ref_audio, gen_text, gen_language],
                 outputs=[generated_audio, gen_transcript_box],
             )
+            use_ref_transcript_btn.click(lambda t: t, inputs=[ref_transcript_box], outputs=[gen_text])
             save_char_btn.click(
                 create_character,
                 inputs=[new_char_name, new_char_role, new_char_prose, gen_language, current_ref_audio, history_state],