more cinditions

app.py

@@ -1,22 +1,27 @@
 import streamlit as st
+import pydub as pd
 from transformers import pipeline
 
 
 st.title("Speech to Text")
 
-transcriber = pipeline(model="openai/whisper-large-v2")
-audio_file = st.file_uploader("Upload an audio file", type=["wav", "mp3", "ogg", "m4a"])
+audio_file = st.file_uploader("Upload an audio file")
 
 
 
 if audio_file:
-    # convert audio file m4a to wav 
-    # audio_file = convert_audio(audio_file)
+    # to flac
+    flac_file = pd.AudioSegment.from_file(audio_file)
+    transcriber = pipeline(model="openai/whisper-medium")
 
-    text = transcriber(audio_file)
+    text = transcriber(flac_file)
     if text:
         st.write("Here is the text:")
         st.write(text)
+    else:
+        st.write("Processing or No text found in the audio file")
+else:
+    st.write("waiting for file")