Add application file

app.py

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+import streamlit as st
+import stable_whisper
+import json
+
+# Create a dropdown to select the model
+model_name = st.selectbox("Select a model", ["base", "small", "medium", "large", "large-v2"])
+
+# Load the selected model
+model = stable_whisper.load_model(model_name)
+
+# Create a file uploader for the audio file
+audiofile = st.file_uploader("Upload an audio file", type=["mp3", "wav"])
+
+# Create a button to run the prediction
+if st.button('Transcribe'):
+    if audiofile is not None:
+        # Transcribe the audio file
+        result = model.transcribe(audiofile)
+        # Convert the result to JSON and display it
+        result_json = json.loads(result)
+        st.json(result_json)
+    else:
+        st.write("Please upload an audio file.")

requirements.txt

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+streamlit
+stable-ts