playing with whisper

app.py

@@ -2,9 +2,9 @@ import streamlit as st
 # Load model directly
 from transformers import pipeline
 
-classifier = pipeline("sentiment-analysis")
+pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3")
 
-prompt = st.chat_input("Say something")
-if prompt:
-    output = classifier(prompt)
-    st.write(f"User has sent the following prompt: {output}")
+uploaded_file = st.file_uploader("Choose a file")
+if uploaded_file is not None:
+    result = pipe(uploaded_file)
+    st.write(result)