initialize

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from faster_whisper import WhisperModel
+
+model = WhisperModel("large-v3")
+
+
+
+def test(audio):
+    segments, info = model.transcribe(audio)
+    text = ''
+    for segment in segments:
+        text = text + segment.text + '\n'
+    return text
+
+
+demo = gr.Interface(
+    test,
+    gr.Audio(type='filepath'),
+    'text'
+)
+
+
+demo.launch(share=True)

packages.txt

@@ -0,0 +1 @@
+ffmpeg

requirements.txt

@@ -0,0 +1,3 @@
+faster_whisper
+torch
+transformers