sophisticated

MinuteBot.py → MinuteBotNA.py

@@ -4,27 +4,32 @@ from tempfile import NamedTemporaryFile
 import ffmpeg
 
 
-st.title("MinuteBot App")
+st.title("Whisper App")
 
 # upload audio file with streamlit
-audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav"])
+audio_file = st.file_uploader("Upload Meeting Audio", type=["m4a", "mp3", "wav"])
 
-# model = whisper.load_model("base") # loading the base model
-st.text("MinuteBot Model telah dimuat:")
+st.text("Whisper Model Loaded")
 
 def load_whisper_model():
 
     return model
 
+def convert_m4a_to_mp3(input_path, output_path):
+    audio = AudioSegment.from_file(input_path, format="m4a")
+    audio.export(output_path, format="mp3")
     
-if st.sidebar.button("Transkripsikan Audio"):
+if st.sidebar.button("Transcribe Audio"):
     if audio_file is not None:
-        with NamedTemporaryFile() as temp:
+        with NamedTemporaryFile(suffix="mp3") as temp:
             temp.write(audio_file.getvalue())
             temp.seek(0)
-            model = whisper.load_model("large")
-            result = model.transcribe(temp.name)
+            model = whisper.load_model("base")
+            temp_mp3_path = temp.name
+            convert_m4a_to_mp3(audio_file, temp_mp3_path)
+            result = model.transcribe(temp_mp3_path)
             st.write(result["text"])
+
         
-st.sidebar.header("Putar Berkas Audio")
+st.sidebar.header("Play Original Audio File")
 st.sidebar.audio(audio_file)

app.py

@@ -4,32 +4,27 @@ from tempfile import NamedTemporaryFile
 import ffmpeg
 
 
-st.title("Whisper App")
+st.title("MinuteBot App")
 
 # upload audio file with streamlit
-audio_file = st.file_uploader("Upload Meeting Audio", type=["m4a", "mp3", "wav"])
+audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav", "m4a"])
 
-st.text("Whisper Model Loaded")
+# model = whisper.load_model("base") # loading the base model
+st.text("MinuteBot Model telah dimuat:")
 
 def load_whisper_model():
 
     return model
 
-def convert_m4a_to_mp3(input_path, output_path):
-    audio = AudioSegment.from_file(input_path, format="m4a")
-    audio.export(output_path, format="mp3")
     
-if st.sidebar.button("Transcribe Audio"):
+if st.sidebar.button("Transkripsikan Audio"):
     if audio_file is not None:
-        with NamedTemporaryFile(suffix="mp3") as temp:
+        with NamedTemporaryFile() as temp:
             temp.write(audio_file.getvalue())
             temp.seek(0)
-            model = whisper.load_model("base")
-            temp_mp3_path = temp.name
-            convert_m4a_to_mp3(audio_file, temp_mp3_path)
-            result = model.transcribe(temp_mp3_path)
+            model = whisper.load_model("large")
+            result = model.transcribe(temp.name)
             st.write(result["text"])
-
         
-st.sidebar.header("Play Original Audio File")
+st.sidebar.header("Putar Berkas Audio")
 st.sidebar.audio(audio_file)