Update app.py

app.py

@@ -6,8 +6,7 @@ import configparser
 import requests
 import json
 import subprocess
-import whisper
-# Set up API key for aift
+
 st.set_page_config(layout="wide")
 
 st.markdown(
@@ -34,10 +33,12 @@ st.markdown(
 setting.set_api_key('T69FqnYgOdreO5G0nZaM8gHcjo1sifyU')
 
 # Create two columns
+
 col1, col2= st.columns(2)
 
 
 with col1:
+
     # Code in the left column
     st.markdown(
     "<h1 style='text-align: center; font-family: Times New Roman;'>Choose Your Country</h1>",
@@ -68,28 +69,6 @@ with col1:
             country = "Chinese"
             open("country.txt", "w").write("Chinese")
 
-    audio_value = st.audio_input("Record a voice of you",key=1)
-    if audio_value is not None:
-        st.audio(audio_value)
-        audio_bytes = audio_value.getvalue()
-        file_path = "./recorded_audio_en.wav"
-        with open(file_path, "wb") as file:
-            file.write(audio_bytes)
-
-        audio = AudioSegment.from_wav(file_path)
-        audio = audio.set_frame_rate(16000).set_channels(1)
-        output_file = "./recorded_audio_en.wav"
-        audio.export(output_file, format="wav") 
-        with open(file_path, "wb") as file:
-            file.write(audio_bytes) 
-        st.success(f"Audio saved and modified as {output_file}")
-        
-        if (country := open("country.txt").read().strip()) == "English":
-            model = whisper.load_model("tiny")
-            audio = whisper.load_audio("recorded_audio_en.wav")
-            result = model.transcribe(audio)
-            st.write(result["text"])
-
         # elif (country := open("country.txt").read().strip()) == "Chinese":
         # elif (country := open("country.txt").read().strip()) == "Thailand":
 
@@ -230,4 +209,4 @@ with col2:
                 st.error("Failed to extract transcript.")
 
     else:
-        st.warning("Please select your dialect before recording.")
+        st.warning("Please select your dialect before recording.")