Update app.py

app.py

@@ -1,4 +1,32 @@
 import streamlit as st
+import time
+from whisper_processor import process_audio
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+def process_audio_streamlit(audio_file, model_name, lang):
+    start_time = time.time()
+    result = process_audio(audio_file, model_name=model_name, lang=lang)
+    end_time = time.time()
+    elapsed_time = end_time - start_time
+    st.write("Time taken:", elapsed_time, "seconds")
+    return result
+
+st.title("Audio Transcription")
+
+# Upload audio file
+uploaded_file = st.file_uploader("Choose an audio file")
+
+# Select model and language
+model_name = st.selectbox("Select model", ["tiny", "base", "small", "medium", "large"])
+lang = st.selectbox("Select language", ["en", "hi", "fr", "de", "es", "it", "pt", "ru", "zh", "ja", "ko", "ar", "tr"])
+
+if uploaded_file is not None:
+    # Save the uploaded file to a temporary location
+    with open("temp.wav", "wb") as f:
+        f.write(uploaded_file.read())
+
+    # Process the audio file
+    result = process_audio_streamlit("temp.wav", model_name, lang)
+
+    # Display the transcription result
+    st.write("Transcription:")
+    st.text_area("", value=result, height=300)