Create app.py

app.py

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+import gradio as gr
+from faster_whisper import WhisperModel
+import json
+
+def transcribe_audio(audiofile):
+    model_size = "medium"
+    model = WhisperModel(model_size)
+
+    segments, info = model.transcribe(audiofile, word_timestamps=True)
+    segments = list(segments)  # The transcription will actually run here.
+
+    wordlevel_info = []
+    for segment in segments:
+        for word in segment.words:
+            wordlevel_info.append({'word':word.word,'start':word.start,'end':word.end})
+
+    # Save wordlevel_info to data.json
+    with open('data.json', 'w') as f:
+        json.dump(wordlevel_info, f)
+
+    return "Transcription complete. Check data.json for results."
+
+# Define the Gradio interface
+audiofile_input = gr.inputs.Audio(label="Upload your audio file")
+output_text = gr.outputs.Textbox(label="Transcription")
+
+# Create Gradio interface
+gr.Interface(transcribe_audio, inputs=audiofile_input, outputs=output_text).launch()