Update app.py

app.py

@@ -55,8 +55,49 @@
 # 08-04-2024
 #
 
+
+###########################################################################################################
+#
+# Installation:
+# pip install streamlit-audiorecorder
+# Note: This package uses ffmpeg, so it should be installed for this audiorecorder to work properly.
+#
+# On ubuntu/debian: sudo apt update && sudo apt install ffmpeg
+# On mac: brew install ffmpeg
+
 import streamlit as st
+from audiorecorder import audiorecorder
+
+st.title("Audio Recorder")
+# audiorecorder(start_prompt="Start recording", stop_prompt="Stop recording", pause_prompt="", key=None):
+audio = audiorecorder("Click to record", "Click to stop recording", "Click to pause recording")
+
+
+# JB:
+# https://docs.streamlit.io/develop/concepts/architecture/caching
+# @st.cache_data
+@st.cache_resource  # 👈 Add the caching decorator
+def audio_export(audio_wav_file, format):
+    # audio.export("audio.wav", format="wav") # ORIGINAL
+    audio.export(audio_wav_file, format=format)
+
+if len(audio) > 0:
+    # To play audio in frontend:
+    st.audio(audio.export().read())  
+
+    # To save audio to a file, use pydub export method:
+    # https://docs.streamlit.io/develop/concepts/architecture/caching
+    # @st.cache_data
+    # @st.cache_data
+    # audio.export("audio.wav", format="wav") # ORIGINAL
+    audio_export("audio.wav", format="wav")   # JB 08-04-2024
 
+    # To get audio properties, use pydub AudioSegment properties:
+    st.write(f"Frame rate: {audio.frame_rate}, Frame width: {audio.frame_width}, Duration: {audio.duration_seconds} seconds")
+
+
+st.button("Rerun")
+###########################################################################################################
 
 
 ###########################################################################################################
@@ -94,8 +135,13 @@ st.write("Ready Loading the WhisperModel: model = WhisperModel(model_size, devic
 # USING:
 # model = WhisperModel(model_size, device="cpu", compute_type="int8") # JB
 # segments, info = model.transcribe("sam_altman_lex_podcast_367.flac", beam_size=1)
+
 # /content/Ukrainian podcast #10 Traveling to Lviv - Подорож до Льова. SLOW UKRAINIAN.mp3
-segments, info = model.transcribe("Ukrainian podcast #10 Traveling to Lviv - Подорож до Льова. SLOW UKRAINIAN.mp3", beam_size=1)
+# segments, info = model.transcribe("Ukrainian podcast #10 Traveling to Lviv - Подорож до Льова. SLOW UKRAINIAN.mp3", beam_size=1)
+# TEST:
+segments, info = model.transcribe("audio.wav", beam_size=1)
+
+
 # print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
 st.write("Detected language '%s' with probability %f" % (info.language, info.language_probability))
 st.write("")
@@ -116,18 +162,20 @@ seconds = 233.8249375 - minutes*60
 st.write(minutes," minutes and ", seconds, " seconds")
 
 
+text_to_transcribe = ""
 for segment in segments:
     # print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
     st.write("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
+    text_to_transcribe = text_to_transcribe + " " + segment
 
 st.write("---------------------------------------------------------------------")
 
-text_to_transcribe = ""
-st.write("TOTAL TEXT TO TRANSCRIBE:")
-for segment in segments:
-    st.write(segment.text)
-    text_to_transcribe = text_to_transcribe + " " + segment
-    # print(segment)
+#text_to_transcribe = ""
+#st.write("TOTAL TEXT TO TRANSCRIBE:")
+#for segment in segments:
+#    st.write(segment.text)
+#    text_to_transcribe = text_to_transcribe + " " + segment
+#    # print(segment)
 
 st.write("text_to_transcribe: ", text_to_transcribe)
     
@@ -135,43 +183,3 @@ st.write("text_to_transcribe: ", text_to_transcribe)
 ###########################################################################################################
 
 
-#
-# Installation:
-# pip install streamlit-audiorecorder
-# Note: This package uses ffmpeg, so it should be installed for this audiorecorder to work properly.
-#
-# On ubuntu/debian: sudo apt update && sudo apt install ffmpeg
-# On mac: brew install ffmpeg
-
-import streamlit as st
-from audiorecorder import audiorecorder
-
-st.title("Audio Recorder")
-# audiorecorder(start_prompt="Start recording", stop_prompt="Stop recording", pause_prompt="", key=None):
-audio = audiorecorder("Click to record", "Click to stop recording", "Click to pause recording")
-
-
-# JB:
-# https://docs.streamlit.io/develop/concepts/architecture/caching
-# @st.cache_data
-@st.cache_resource  # 👈 Add the caching decorator
-def audio_export(audio_wav_file, format):
-    # audio.export("audio.wav", format="wav") # ORIGINAL
-    audio.export(audio_wav_file, format=format)
-
-if len(audio) > 0:
-    # To play audio in frontend:
-    st.audio(audio.export().read())  
-
-    # To save audio to a file, use pydub export method:
-    # https://docs.streamlit.io/develop/concepts/architecture/caching
-    # @st.cache_data
-    # @st.cache_data
-    # audio.export("audio.wav", format="wav") # ORIGINAL
-    audio_export("audio.wav", format="wav")   # JB 08-04-2024
-
-    # To get audio properties, use pydub AudioSegment properties:
-    st.write(f"Frame rate: {audio.frame_rate}, Frame width: {audio.frame_width}, Duration: {audio.duration_seconds} seconds")
-
-
-st.button("Rerun")