Update app.py

app.py

@@ -1,5 +1,11 @@
 import streamlit as st
 from transformers import pipeline
+from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
+processor = AutoProcessor.from_pretrained("openai/whisper-large")
+model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-large")
+
+
+
 pipe = pipeline('sentiment-analysis')
 pipe2 =  pipeline(task="image-bestify", model="beihai/GFPGAN-V1.3-whole-image")
 text = st.text_area('entre com algum texto')
@@ -7,4 +13,5 @@ st.title("Hot Dog? Or Not? ")
 file_name = st.file_uploader("Upload a hot dog candidate image")
 if text:
  out=pipe(text)
- st.json(out)
+ st.json(out)
+