revert

app.py

@@ -1,64 +1,64 @@
-# import streamlit as st
-# import whisper
-# from tempfile import NamedTemporaryFile
-# import ffmpeg
+import streamlit as st
+import whisper
+from tempfile import NamedTemporaryFile
+import ffmpeg
 
 
-# st.title("MinuteBot App")
+st.title("MinuteBot App")
 
-# # upload audio file with streamlit
-# audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav", "m4a"])
+# upload audio file with streamlit
+audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav", "m4a"])
 
-# # model = whisper.load_model("base") # loading the base model
-# st.text("MinuteBot Model telah dimuat:")
+# model = whisper.load_model("base") # loading the base model
+st.text("MinuteBot Model telah dimuat:")
 
-# def load_whisper_model():
+def load_whisper_model():
 
-#     return model
+    return model
 
     
-# if st.sidebar.button("Transkripsikan Audio"):
-#     if audio_file is not None:
-#         with NamedTemporaryFile() as temp:
-#             temp.write(audio_file.getvalue())
-#             temp.seek(0)
-#             model = whisper.load_model("large")
-#             result = model.transcribe(temp.name)
-#             st.write(result["text"])
+if st.sidebar.button("Transkripsikan Audio"):
+    if audio_file is not None:
+        with NamedTemporaryFile() as temp:
+            temp.write(audio_file.getvalue())
+            temp.seek(0)
+            model = whisper.load_model("large")
+            result = model.transcribe(temp.name)
+            st.write(result["text"])
         
-# st.sidebar.header("Putar Berkas Audio")
-# st.sidebar.audio(audio_file)
+st.sidebar.header("Putar Berkas Audio")
+st.sidebar.audio(audio_file)
 
-import streamlit as st
-from tempfile import NamedTemporaryFile
-import ffmpeg
-from transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer
-import librosa
+# import streamlit as st
+# from tempfile import NamedTemporaryFile
+# import ffmpeg
+# from transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer
+# import librosa
 
-# HF_TOKEN = os.environ.get("HUGGINGFACEHUB_API_TOKEN")
+# # HF_TOKEN = os.environ.get("HUGGINGFACEHUB_API_TOKEN")
 
-st.title("TemplarX-Medium-Indonesian Transcription App")
-st.text("Model Whisper (TemplarX-medium-Indonesian) telah dimuat:")
+# st.title("TemplarX-Medium-Indonesian Transcription App")
+# st.text("Model Whisper (TemplarX-medium-Indonesian) telah dimuat:")
 
-def load_whisper_model():
-    model_name = "jonnatakusuma/TemplarX-medium-Indonesian"
-    tokenizer = Wav2Vec2Tokenizer.from_pretrained(model_name)
-    model = Wav2Vec2ForCTC.from_pretrained(model_name, use_auth_token=True)
-    return tokenizer, model
+# def load_whisper_model():
+#     model_name = "jonnatakusuma/TemplarX-medium-Indonesian"
+#     tokenizer = Wav2Vec2Tokenizer.from_pretrained(model_name)
+#     model = Wav2Vec2ForCTC.from_pretrained(model_name, use_auth_token=True)
+#     return tokenizer, model
 
-audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav", "m4a"])
+# audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav", "m4a"])
 
-if st.sidebar.button("Transkripsikan Audio"):
-    if audio_file is not None:
-        with NamedTemporaryFile() as temp:
-            temp.write(audio_file.read())
-            temp.seek(0)
-            tokenizer, model = load_whisper_model()
-            # Read the audio file and transcribe using the fine-tuned model
-            audio_path = temp.name
-            audio_input, _ = librosa.load(audio_path, sr=16000)
-            transcription = model.stt(text)
-            st.write(transcription)
+# if st.sidebar.button("Transkripsikan Audio"):
+#     if audio_file is not None:
+#         with NamedTemporaryFile() as temp:
+#             temp.write(audio_file.read())
+#             temp.seek(0)
+#             tokenizer, model = load_whisper_model()
+#             # Read the audio file and transcribe using the fine-tuned model
+#             audio_path = temp.name
+#             audio_input, _ = librosa.load(audio_path, sr=16000)
+#             transcription = model.stt(text)
+#             st.write(transcription)
 
-st.sidebar.header("Putar Berkas Audio")
-st.sidebar.audio(audio_file, format='audio/wav')
+# st.sidebar.header("Putar Berkas Audio")
+# st.sidebar.audio(audio_file, format='audio/wav')