Extension: Whisper Speech-To-Text Input

extensions/whisper_stt/requirements.txt

@@ -0,0 +1,4 @@
+git+https://github.com/Uberi/speech_recognition.git@010382b
+openai-whisper
+soundfile
+ffmpeg

extensions/whisper_stt/script.py

@@ -0,0 +1,54 @@
+import gradio as gr
+import speech_recognition as sr
+
+input_hijack = {
+    'state': False,
+    'value': ["", ""]
+}
+
+
+def do_stt(audio, text_state=""):
+    transcription = ""
+    r = sr.Recognizer()
+
+    # Convert to AudioData
+    audio_data = sr.AudioData(sample_rate=audio[0], frame_data=audio[1], sample_width=4)
+
+    try:
+        transcription = r.recognize_whisper(audio_data, language="english", model="base.en")
+    except sr.UnknownValueError:
+        print("Whisper could not understand audio")
+    except sr.RequestError as e:
+        print("Could not request results from Whisper", e)
+
+    input_hijack.update({"state": True, "value": [transcription, transcription]})
+
+    text_state += transcription + " "
+    return text_state, text_state
+
+
+def update_hijack(val):
+    input_hijack.update({"state": True, "value": [val, val]})
+    return val
+
+
+def auto_transcribe(audio, audio_auto, text_state=""):
+    if audio is None:
+        return "", ""
+    if audio_auto:
+        return do_stt(audio, text_state)
+    return "", ""
+
+
+def ui():
+    tr_state = gr.State(value="")
+    output_transcription = gr.Textbox(label="STT-Input",
+                                      placeholder="Speech Preview. Click \"Generate\" to send",
+                                      interactive=True)
+    output_transcription.change(fn=update_hijack, inputs=[output_transcription], outputs=[tr_state])
+    audio_auto = gr.Checkbox(label="Auto-Transcribe", value=True)
+    with gr.Row():
+        audio = gr.Audio(source="microphone")
+        audio.change(fn=auto_transcribe, inputs=[audio, audio_auto, tr_state], outputs=[output_transcription, tr_state])
+        transcribe_button = gr.Button(value="Transcribe")
+        transcribe_button.click(do_stt, inputs=[audio, tr_state], outputs=[output_transcription, tr_state])