Update app.py

app.py

@@ -1,15 +1,14 @@
 import streamlit as st
 from transformers import pipeline
 
-transcriber = pipeline(model="openai/whisper-large-v2", device=0, batch_size=2)
-audio_filenames = [f"https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/{i}.flac" for i in range(1, 5)]
-texts = transcriber(audio_filenames)
+transcriber = pipeline(task="sentiment-analysis")
+text = st.text_input('Label', 'enter some text!')
 
-st.write(texts)
+if text:
+    out = transcriber(text)
+    st.json(out)
 
-# transcriber = pipeline(task="sentiment-analysis")
-# text = st.text_input('Label', 'enter some text!')
-
-# if text:
-#     out = transcriber(text)
-#     st.json(out)
+st.file_uploader("Choose a CSV file", accept_multiple_files=True)
+bytes_data = uploaded_file.read()
+st.write("filename:", uploaded_file.name)
+st.write(bytes_data)