Update app.py

app.py

@@ -1,6 +1,5 @@
 import streamlit as st
 from transformers import pipeline
-from audio_recorder_streamlit import audio_recorder
 
 pipe=pipeline(model="vennify/t5-base-grammar-correction")
 st.title("Grammatical Error Checker")
@@ -10,6 +9,7 @@ if text:
     out=pipe(text)
     st.text_area(label="Output sentence:", value=out)
 
+from audio_recorder_streamlit import audio_recorder
 pipe_s=pipeline(model="openai/whisper-large-v3")
 st.header("Speech input:")
 audio_bytes = audio_recorder(pause_threshold=2.0, sample_rate=41_000, recording_color="#e8b62c", neutral_color="#6aa36f", icon_name="user", icon_size="6x")
@@ -17,6 +17,8 @@ if audio_bytes:
     st.audio(audio_bytes, format="audio/wav")
     out_s=pipe_s(audio_bytes)
     st.text_area(label="Input sentence:", value=out_s)
+    out_S=pipe(out_s)
+    st.text_area(label="Output sentence:", value=out_S)
     
 
 pipe_p=pipeline(model="ramsrigouthamg/t5_sentence_paraphraser")