app-08-04-2024-19u00m.py

app-08-04-2024-19u00m.py

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+# JBHF/VERTAAL-APP-EAGLE-SHELTER/app.py - 08-04-2024, 19u00m 
+# WERKT AL: DE OPGENOMEN AUDIO MBV DEZE APP, audio.wav, HOEFT NIET PERSÉ GEPERSISTEERD TE WORDEN !!!!!!
+
+# https://github.com/theevann/streamlit-audiorecorder
+# An audio Recorder for streamlit
+#
+# Description
+# Audio recorder component for streamlit.
+# It creates a button to start the recording and takes three arguments:
+# the start button text, the stop button text, and the pause button text.
+# If the pause button text is not specified, the pause button is not displayed.
+#
+# Parameters
+# The signature of the component is:
+# audiorecorder(start_prompt="Start recording", stop_prompt="Stop recording", pause_prompt="", key=None):
+# The prompt parameters are self-explanatory, and the optional key parameter is used internally by streamlit 
+# to properly distinguish multiple audiorecorders on the page.
+#
+# Return value
+# The component's return value is a pydub AudioSegment.
+#
+# All AudioSegment methods are available, in particular you can:
+# - Play the audio in the frontend with st.audio(audio.export().read())
+# - Save the audio to a file with audio.export("audio.wav", format="wav")
+#   JB: Waarom zie ik in mijn HF Spaces omgeving de file "audio.wav" niet terug ?
+#   JB: 08-04-2024 - Mogelijk is caching al voldoende (anders file persistence)#
+#                    Zie hiervoor:
+#
+# CACHING:
+# ========
+# STREAMLIT - Caching overview - Streamlit Docs - 07-04-2024 !!!!!
+# https://docs.streamlit.io/develop/concepts/architecture/caching
+#
+# EVERNOTE :
+# https://www.evernote.com/shard/s313/nl/41973486/31880952-8bd9-41ef-8047-ca844143e833/
+# STREAMLIT - Caching overview - Streamlit Docs - 07-04-2024 !!!!!
+#
+# 08-04-2024
+#
+# EN
+#
+# PERSISTENCE:
+# ============
+# HF SPACES STREAMLIT APPS - GET PASSWORDS AND ACCESS TOKENS FROM HF ENVIRONMENT ! - PERSISTENT STORAGE ON HF SPACES ! - EAGLE SHELTER VERTAAL APP ETC ! - app.py · julien-c/persistent-data at main - 20-03-2024 !!!!! !!!!! !!!!!
+# https://huggingface.co/spaces/julien-c/persistent-data/blob/main/app.py
+#
+# ——->
+#
+# DUPLICATED TO:
+# https://huggingface.co/spaces/JBHF/persistent-data?logs=container
+#
+# EVERNOTE :
+# https://www.evernote.com/shard/s313/nl/41973486/1b07098e-3376-4316-abb3-b3d0996ebf03/
+# HF SPACES STREAMLIT APPS - GET PASSWORDS AND ACCESS TOKENS FROM HF ENVIRONMENT ! - PERSISTENT STORAGE ON HF SPACES ! - EAGLE SHELTER VERTAAL APP ETC ! - app.py · julien-c/persistent-data at main - 20-03-2024 !!!!! !!!!! !!!!!
+#
+# 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")
+###########################################################################################################
+
+
+###########################################################################################################
+# TEST
+# ZIE:
+# infer_faster_whisper_large_v2 (CPU VERSIE !) 08-04-2024-COLAB-CPU-PYTHON3-tvscitechtalk.ipynb
+# https://colab.research.google.com/drive/1EreiFx825oIrR2P43XSXjHXx01EWi6ZH#scrollTo=vuLjbPxexPDj&uniqifier=5
+
+from faster_whisper import WhisperModel
+
+model_size = "large-v2"
+
+# Run on GPU with FP16
+# model = WhisperModel(model_size, device="cuda", compute_type="float16") # ORIGINAL, DRAAIT OP COLAB T4 GPU OK
+
+# TEST: Run on CPU
+# model = WhisperModel(model_size, device="cpu", compute_type="float16") # JB, DRAAIT OP COLAB CPU OK ?
+# ValueError: Requested float16 compute type, but the target device or backend do not support efficient float16 computation.
+#
+# st.write("Loading the WhisperModel: model = WhisperModel(model_size, device=\"cpu\")")
+# model = WhisperModel(model_size, device="cpu") # , compute_type="float16") # JB, DRAAIT OP COLAB CPU OK: JA; HF SPACES STREAMLIT FREE TIER: JB OK !
+# JB: Dit gebruikt mijn HF Token !
+# st.write("Ready Loading the WhisperModel: model = WhisperModel(model_size, device=\"cpu\")")
+
+st.write("Loading the WhisperModel: model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")")
+model = WhisperModel(model_size, device="cpu", compute_type="int8") # , compute_type="float16") # JB
+# JB: Dit gebruikt mijn HF Token !
+# st.write("Ready Loading the WhisperModel: model = WhisperModel(model_size, device=\"cpu\")")
+# LOADING OF model = WhisperModel(model_size, device="cpu") TAKES ABOUT 1 MINUTE ON HF SPACES STREAMLIT FREE TIER
+#
+st.write("Ready Loading the WhisperModel: model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")")
+# LOADING OF model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\") TAKES ABOUT 33 sec (Na RERUN 1 minute) ON HF SPACES STREAMLIT FREE TIER
+
+
+# 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)
+# TEST:
+segments, info = model.transcribe("audio.wav", beam_size=1) # DIT WERKT: GEDURENDE DE SESSIE BLIJFT audio.wav FILE BESCHIKBAAR IN DEZE APP !!!!!
+
+
+# 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("")
+st.write("info.all_language_probs     : ", info.all_language_probs)
+st.write("len(info.all_language_probs): ", len(info.all_language_probs))
+# 99
+
+st.write("")
+
+st.write("info: ", info)
+
+# Ukrainian podcast #10 Traveling to Lviv - Подорож до Льова. SLOW UKRAINIAN.mp3 :
+st.write("info.duration: ", info.duration)
+# 233.8249375
+# time: 3.98 ms (started: 2024-03-15 10:55:15 +00:00)
+# minutes = int(info.duration / 60)
+# seconds = info.duration - minutes*60
+minutes = int(info.duration / 60)
+seconds = info.duration - 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.text
+
+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)
+
+st.write("text_to_transcribe: ", text_to_transcribe)
+# DAADWERKELIJK MET MIC OPGENOMEN EN GETRANSCRIBEERD STUKJE OEKRAÍENSE TEKST TER TEST 
+# OM HIERONDER NAAR NEDERLANDS TE VERTALEN MBV LLM MIXTRAL-8x7b-GROQ! :
+# text_to_transcribe: 
+# князем Данилом Романовичем біля Звенигорода і названий на честь його сина Лева Сьогодні Львів має площу 155 квадратних кілометрів з безліччю громадських будинків, кафе, магазинів
+
+
+###########################################################################################################
+# VERTALING
+# DAADWERKELIJK MET MIC OPGENOMEN EN GETRANSCRIBEERD STUKJE OEKRAÍENSE TEKST TER TEST 
+# OM HIERONDER NAAR NEDERLANDS TE VERTALEN MBV LLM MIXTRAL-8x7b-GROQ! :
+# text_to_transcribe: 
+# князем Данилом Романовичем біля Звенигорода і названий на честь його сина Лева Сьогодні Львів має площу 155 квадратних кілометрів з безліччю громадських будинків, кафе, магазинів
+# ...
+
+
+
+
+
+
+###########################################################################################################