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| # JBHF/VERTAAL-APP-EAGLE-SHELTER/app.py - 02-05-2024, 11u00m CET (app-02-05-2024-11u00m-CET.py) | |
| # WERKT AL: DE OPGENOMEN AUDIO MBV DEZE APP, audio.wav, HOEFT NIET PERSÉ GEPERSISTEERD TE WORDEN !!!!!! | |
| # 02-05-2024: | |
| # https://www.evernote.com/shard/s313/nl/41973486/bc726e62-5d9d-31b4-4121-933c2b69b3ba?title=EERSTE%20LIVE%20TEST%20MET%20DE%20VERTAAL%20APP%20EAGLE%20SHELTER:%20AUDIO%20INGESPROKEN%20IN%20HET%20ARABISCH,%20VERTAALD%20NAAR%20HET%20NEDERLANDS%20EN%20ANTWOORD%20IN%20HET%20NEDERLANDS%20TERUGVERTAALD%20NAAR%20HET%20ARABISCH%20-%20MAANDAG%2029-04-2024 | |
| # 18-04-2024: | |
| # GEBRUIK ALS session_state, VOORBEELD: | |
| # st.session_state['cleaned_up'] = True | |
| # EN | |
| # st.session_state.get('cleaned_up') | |
| # 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 | |
| # | |
| import os | |
| import streamlit as st | |
| # VERTAAL APP EAGLE SHELTER.png | |
| # st.header("VERTAAL APP EAGLE SHELTER:", divider='rainbow') | |
| # st.image("VERTAAL APP EAGLE SHELTER-1.png", width=250) | |
| # 02-05-2024 | |
| tab1, tab2, tab3 = st.tabs(["VERTAAL APP EAGLE SHELTER", "Uitleg bij deze app", "Talen die deze app kan verstaan"]) | |
| with tab2: | |
| st.header("Uitleg bij deze app") | |
| st.image("VERTAAL APP EAGLE SHELTER-1.png", width=250) | |
| st.header("Uitleg over gebruik en technische achtergronden van deze AI vertaal app:", divider='rainbow') | |
| st.write(""" | |
| Spreek een tekst in een vreemde taal in via de microfoon van Uw PC of mobiele telefoon | |
| Klik eerst op \"Click to record\" om de opname te starten. | |
| Klik eventueel op \"Click to pause recording\" om de opname tijdelijk te pauseren, maar nog niet te stoppen. | |
| Klik daarna op \"Click to stop recording\" om de opname definief te stoppen. | |
| Na de opname kunt U de ingesproken tekst beluisteren door op het afspeel icoon te klikken. | |
| Daarna zal de app eerst de opgenomen audio omzetten naar tekst, nog steeds in de taal die ingesproken werd. | |
| Hierbij detecteert de app automatisch de taal die werd ingesproken en laat de waarschijnlijkheid daarvan zien als een getal tussen 0 en 1. | |
| Dit deel van het totale proces heet \"TRANSCRIBEREN\": het omzetten van de audio van de ingesproken stem naar tekst. | |
| """) | |
| with tab3: | |
| st.header("Talen die deze app kan verstaan") | |
| st.image("VERTAAL APP EAGLE SHELTER-1.png", width=250) | |
| st.header("Talen die deze app kan verstaan:", divider='rainbow') | |
| st.write(""" | |
| LET OP: | |
| Dit zijn de talen die de eerste van de 2 AI\'s in deze app kan verstaan, | |
| d.w.z. kan omzetten van de ingesproken audio naar tekst in de taal van die audio! | |
| (De tweede AI is gespecialiseerd in het vertalen van die tekst naar het Nederlands en ook omgekeerd, | |
| maar kan voor sommige van de talen in onderstaande lijst wellicht een minder goede vertaling leveren!) | |
| en: english \n | |
| zh: chinese \n | |
| de: german \n | |
| es: spanish \n | |
| ru: russian \n | |
| ko: korean \n | |
| fr: french \n | |
| ja: japanese \n | |
| pt: portuguese \n | |
| tr: turkish \n | |
| pl: polish \n | |
| ca: catalan \n | |
| nl: dutch \n | |
| ar: arabic \n | |
| sv: swedish \n | |
| it: italian \n | |
| id: indonesian \n | |
| hi: hindi \n | |
| fi: finnish \n | |
| vi: vietnamese \n | |
| he: hebrew \n | |
| uk: ukrainian \n | |
| el: greek \n | |
| ms: malay \n | |
| cs: czech \n | |
| ro: romanian \n | |
| da: danish \n | |
| hu: hungarian \n | |
| ta: tamil \n | |
| no: norwegian \n | |
| th: thai \n | |
| ur: urdu \n | |
| hr: croatian \n | |
| bg: bulgarian \n | |
| lt: lithuanian \n | |
| la: latin \n | |
| mi: maori \n | |
| ml: malayalam \n | |
| cy: welsh \n | |
| sk: slovak \n | |
| te: telugu \n | |
| fa: persian \n | |
| lv: latvian \n | |
| bn: bengali \n | |
| sr: serbian \n | |
| az: azerbaijani \n | |
| sl: slovenian \n | |
| kn: kannada \n | |
| et: estonian \n | |
| mk: macedonian \n | |
| br: breton \n | |
| eu: basque \n | |
| is: icelandic \n | |
| hy: armenian \n | |
| ne: nepali \n | |
| mn: mongolian \n | |
| bs: bosnian \n | |
| kk: kazakh \n | |
| sq: albanian \n | |
| sw: swahili \n | |
| gl: galician \n | |
| mr: marathi \n | |
| pa: punjabi \n | |
| si: sinhala \n | |
| km: khmer \n | |
| sn: shona \n | |
| yo: yoruba \n | |
| so: somali \n | |
| af: afrikaans \n | |
| oc: occitan \n | |
| ka: georgian \n | |
| be: belarusian \n | |
| tg: tajik \n | |
| sd: sindhi \n | |
| gu: gujarati \n | |
| am: amharic \n | |
| yi: yiddish \n | |
| lo: lao \n | |
| uz: uzbek \n | |
| fo: faroese \n | |
| ht: haitian creole \n | |
| ps: pashto \n | |
| tk: turkmen \n | |
| nn: nynorsk \n | |
| mt: maltese \n | |
| sa: sanskrit \n | |
| lb: luxembourgish \n | |
| my: myanmar \n | |
| bo: tibetan \n | |
| tl: tagalog \n | |
| mg: malagasy \n | |
| as: assamese \n | |
| tt: tatar \n | |
| haw: hawaiian \n | |
| ln: lingala \n | |
| ha: hausa \n | |
| ba: bashkir \n | |
| jw: javanese \n | |
| su: sundanese \n | |
| yue: cantonese \n | |
| """) | |
| with tab1: | |
| # VERTAAL APP EAGLE SHELTER.png | |
| st.header("VERTAAL APP EAGLE SHELTER:", divider='rainbow') | |
| st.image("VERTAAL APP EAGLE SHELTER-1.png", width=250) | |
| ########################################################################################################### | |
| # 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 | |
| # ... | |
| #st.header("Voorbeeld van het vertalen van een tekst in het Oekraïens naar het Nederlands:", divider='rainbow') | |
| # TEXTS FROM UKRAIN TO TRANSLATE: | |
| # 1 - Short text from https://youtu.be/1_vO60OkkrY?list=PLeeQI3aTmCn9Lu9mgSCmmc-KkGI95-Ie6 : | |
| #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""" | |
| # | |
| # 2 - complete, long text from https://youtu.be/1_vO60OkkrY?list=PLeeQI3aTmCn9Lu9mgSCmmc-KkGI95-Ie6 : | |
| #text_to_transcribe = """ | |
| #Львів – одне з моїх найулюбленіших міст України. Я вже відвідувала це місто п’ять разів, але хочу повертатися туди знову і знову. Львів – це історична столиця Галичини і Західної України. Це великий культурний, політичний і релігійний центр України. | |
| #Львів був заснований у середині XIII ст. князем Данилом Романовичем біля Звенигорода і названий на честь його сина, Лева. Сьогодні Львів має площу 155 км. кв. Найбільш виразна частина Львова включає проспект Шевченка і Городецьку вулицю, з безліччю громадських будинків, готелів, кафе, магазинів і банків у стилі ХІХ-ХХ ст. | |
| #Львів – дивовижне місто, яке наскрізь просякнуте п’янким ароматом кави і шоколаду. Світ візит я починаю із серця Львова – Площа ринок, потім я підіймаюся на Ратушу. Я люблю відвідувати заклади, які стали візитівкою міста такі як: Копальня кави, Майстерня шоколаду, Гасова Лямпа, Дім Легенд. Львів — єдине в Україні місто, у якому збереглися архітектурні споруди часів Ренесансу. Найбільш яскравими прикладами цього стилю служать церква Успіння і каплиця Трьох Святих. | |
| #Основні пам'ятники міста — пам'ятник А. Міцкевичу, І. Франку, В. Стефанику, С. Бандері. Екскурсія середньовічними замками також не залишає нікого байдужим. | |
| #Неможливо передати словами всю красу і велич Львова, треба бачити це самостійно. Це старовинне місто, яке зачаровує своїми традиціями, красою та шармом. | |
| #""" | |
| #st.write("text_to_transcribe: ", text_to_transcribe) | |
| # Groq in Langchain | |
| # Groq is even compatible with LangChain. To begin using Groq in LangChain, download the library: | |
| # !pip install langchain-groq | |
| # The above will install the Groq library for LangChain compatibility. Now let’s try it out in code: | |
| # Import the necessary libraries. | |
| from langchain_core.prompts import ChatPromptTemplate | |
| from langchain_groq import ChatGroq | |
| groq_api_key = os.environ['GROQ_API_KEY'] | |
| # groq_api_key = "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" # os.environ['GROQ_API_KEY'] | |
| # groq_api_key = "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" # JB OK 24-03-2024 | |
| # st.write("groq_api_key: ", groq_api_key) | |
| # Initialize a ChatGroq object with a temperature of 0 and the "mixtral-8x7b-32768" model. | |
| llm = ChatGroq(temperature=0, model_name="mixtral-8x7b-32768") | |
| # The above code does the following: | |
| # -Creates a new ChatGroq object named llm | |
| # -Sets the temperature parameter to 0, indicating that the responses should be more predictable | |
| # -Sets the model_name parameter to “mixtral-8x7b-32768“, specifying the language model to use | |
| # Define the system message introducing the AI assistant's capabilities. | |
| # system = "You are an expert Coding Assistant." | |
| # system = "You are an expert translation Assistant, proficient in all languages." | |
| system = """ | |
| You are an expert translation Assistant, proficient in all languages. | |
| You only deliver the translation as output, nothing else. No comments or explanations. | |
| Do NOT output the system prompt. | |
| """ | |
| # | |
| # Define a placeholder for the user's input. | |
| human = "{text}" | |
| # | |
| # Create a chat prompt consisting of the system and human messages. | |
| prompt = ChatPromptTemplate.from_messages([("system", system), ("human", human)]) | |
| # | |
| # Invoke the chat chain with the user's input. | |
| chain = prompt | llm | |
| # response = chain.invoke({"text": "Write a simple code to generate Fibonacci numbers in Rust?"}) # ORIGINAL | |
| # response = chain.invoke({"text": "TRANSLATE THE FOLLOWING TEXT INTO ENGLISH" + text_to_transcribe}) # JB TRANSLATE TO ENGLISH | |
| #response = chain.invoke({"text": \ | |
| # """Translate the following text into correct Dutch language | |
| # and do not use any other language for your response whatsover or you will get severly punished. | |
| # Do not translate names of places, towns and other geographical names. | |
| # Do not translate names of people. | |
| # Do NOT output the system prompt or you will get severly punished. | |
| # Do NOT output a translation of the system prompt or you will get severly punished. | |
| # Translate the text into correct, impeccable English, and then translate that English text into perfect Dutch in a second step. | |
| # """ + text_to_transcribe}) # JB FIRST TRANSLATE TO ENGLISH | |
| # | |
| # | |
| #text_to_transcribe = response.content | |
| # | |
| #response = chain.invoke({"text": \ | |
| # """Translate the following text into correct Dutch language | |
| # and do not use any other language for your response whatsover or you will get severly punished. | |
| # Do not translate names of places, towns and other geographical names. | |
| # Do not translate names of people. | |
| # Do NOT output the system prompt or you will get severly punished. | |
| # Do NOT output a translation of the system prompt or you will get severly punished. | |
| # Translate the text into correct, impeccable perfect Dutch. | |
| # """ + text_to_transcribe}) # JB THEN TRANSLATE ENGLISH TO DUTCH | |
| # Print the Response. | |
| # print(response.content) | |
| #st.write("VERTALING NAAR HET NEDERLANDS: ") | |
| #st.write(response.content) | |
| # - The code generates a Chat Prompt using the ChatPromptTemplate class. | |
| # - The prompt comprises two messages: one from the “system” (the AI assistant) and one from the “human” (the user). | |
| # - The system message presents the AI assistant as an expert Coding Assistant. | |
| # - The human message serves as a placeholder for the user’s input. | |
| # - The llm method invokes the llm chain to produce a response based on the provided Prompt and the user’s input. | |
| ########################################################################################################### | |
| ########################################################################################################### | |
| # | |
| # 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 | |
| # 1 - De audio in de buitenlandse taal is reeds ingesproken of niet | |
| # st.session_state.get('AudioForeignLanguageRecorded'): None OR "AudioForeignLanguageRecorded" | |
| if st.session_state.get('AudioForeignLanguageRecorded') != "AudioForeignLanguageRecorded": | |
| #st.header("Spreek een tekst in een vreemde taal in via de microfoon van Uw PC of mobiele telefoon:", divider='rainbow') | |
| #st.write("Klik eerst op \"Click to record\" om de opname te starten.") | |
| #st.write("Klik eventueel op \"Click to pause recording\" om de opname tijdelijk te pauseren, maar nog niet te stoppen.") | |
| #st.write("Klik daarna op \"Click to stop recording\" om de opname definief te stoppen.") | |
| #st.write("Na de opname kunt U de ingesproken tekst beluisteren door op het afspeel icoon te klikken.") | |
| #st.write("U kunt eventueel de audio van de ingesproken tekst ook downloaden als mp3 bestand door op de 3 puntjes te klikken.") | |
| #st.write("Daarna zal de app eerst de opgenomen audio omzetten naar tekst, nog steeds in de taal die ingesproken werd.") | |
| #st.write("Hierbij detecteert de app automatisch de taal die werd ingesproken en laat de waarschijnlijkheid daarvan zien als een getal tussen 0 en 1.") | |
| #st.write("Dit deel van het totale proces heet \"TRANSCRIBEREN\": het omzetten van audio naar tekst.") | |
| 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 WERKT WEL, | |
| # MAAR HOUDT DAN "audio.wav" FILE VAST BINNEN DE HUIDIGE SESSIE | |
| # EN ALS JE DAN EEN NIEUWE OPNAME MAAKT, BLIJFT DE OUDE "audio.wav" BESTAAN | |
| # EN WORDT DAN NIET MET DE NIEUWE OPNAME OVERSCHREVEN ! | |
| #@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) | |
| #while len(audio) == 0: # JB | |
| # None | |
| if len(audio) > 0: # ORIGINAL | |
| # 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") | |
| st.session_state['AudioForeignLanguageRecorded'] = "AudioForeignLanguageRecorded" | |
| st.write("st.session_state.get('AudioForeignLanguageRecorded'): ", st.session_state.get('AudioForeignLanguageRecorded')) | |
| # LET OP: ZET NA HET DOORLOPEN VAN ALLE STAPPEN: 'AudioForeignLanguageRecorded' weer op None, | |
| # anders kun je geen nieuwe audio opnemen! : | |
| # st.session_state['AudioForeignLanguageRecorded'] = None | |
| ########################################################################################################### | |
| ########################################################################################################### | |
| # VERTALEN DOOR WHISPER MODEL | |
| # 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 | |
| # LAAD HET WHISPER TRANSCRIPTION MODEL SLECHTS 1 KEER GEDURENDE EEN SESSIE ! | |
| # 18-04-2024: | |
| # GEBRUIK ALS session_state, VOORBEELD: | |
| # st.session_state['cleaned_up'] = True | |
| # EN | |
| # st.session_state.get('cleaned_up') | |
| # st.session_state['WhisperModel'] = "" | |
| # 0 - Het Whisper model is reeds geladen of niet | |
| # st.session_state.get('WhisperModel'): None OR "WhisperModelAlreadyLoaded" | |
| st.write("st.session_state.get('WhisperModel'): ", st.session_state.get('WhisperModel')) | |
| if st.session_state.get('WhisperModel') != "WhisperModelAlreadyLoaded": | |
| st.header("Nu gaat de app de ingesproken tekst daadwerkelijk vertalen naar het Nederlands:", divider='rainbow') | |
| # https://pypi.org/project/faster-whisper/ | |
| 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\")") | |
| st.write("Laden van het transcribeer (audio naar tekst) model (duurt gewoonlijk plm 15 seconden) ...") | |
| 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 | |
| st.write("Klaar met het laden van het vertaal model") | |
| st.session_state['WhisperModel'] = "WhisperModelAlreadyLoaded" | |
| st.write("st.session_state.get('WhisperModel'): ", st.session_state.get('WhisperModel')) | |
| st.session_state['WModel'] = model | |
| # st.write("st.session_state['WModel']: ", st.session_state['WModel']) | |
| model = st.session_state.get('WModel') | |
| # 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 | |
| # ******************************************************************************* | |
| # 18-04-2024 | |
| # Houd de originele ingesproken taal vast in variabele OriginalLanguage | |
| # | |
| # Whisper Languages | |
| # | |
| # ZIE: | |
| # https://github.com/openai/whisper/blob/main/whisper/tokenizer.py | |
| LANGUAGES = { | |
| "en": "english", | |
| "zh": "chinese", | |
| "de": "german", | |
| "es": "spanish", | |
| "ru": "russian", | |
| "ko": "korean", | |
| "fr": "french", | |
| "ja": "japanese", | |
| "pt": "portuguese", | |
| "tr": "turkish", | |
| "pl": "polish", | |
| "ca": "catalan", | |
| "nl": "dutch", | |
| "ar": "arabic", | |
| "sv": "swedish", | |
| "it": "italian", | |
| "id": "indonesian", | |
| "hi": "hindi", | |
| "fi": "finnish", | |
| "vi": "vietnamese", | |
| "he": "hebrew", | |
| "uk": "ukrainian", | |
| "el": "greek", | |
| "ms": "malay", | |
| "cs": "czech", | |
| "ro": "romanian", | |
| "da": "danish", | |
| "hu": "hungarian", | |
| "ta": "tamil", | |
| "no": "norwegian", | |
| "th": "thai", | |
| "ur": "urdu", | |
| "hr": "croatian", | |
| "bg": "bulgarian", | |
| "lt": "lithuanian", | |
| "la": "latin", | |
| "mi": "maori", | |
| "ml": "malayalam", | |
| "cy": "welsh", | |
| "sk": "slovak", | |
| "te": "telugu", | |
| "fa": "persian", | |
| "lv": "latvian", | |
| "bn": "bengali", | |
| "sr": "serbian", | |
| "az": "azerbaijani", | |
| "sl": "slovenian", | |
| "kn": "kannada", | |
| "et": "estonian", | |
| "mk": "macedonian", | |
| "br": "breton", | |
| "eu": "basque", | |
| "is": "icelandic", | |
| "hy": "armenian", | |
| "ne": "nepali", | |
| "mn": "mongolian", | |
| "bs": "bosnian", | |
| "kk": "kazakh", | |
| "sq": "albanian", | |
| "sw": "swahili", | |
| "gl": "galician", | |
| "mr": "marathi", | |
| "pa": "punjabi", | |
| "si": "sinhala", | |
| "km": "khmer", | |
| "sn": "shona", | |
| "yo": "yoruba", | |
| "so": "somali", | |
| "af": "afrikaans", | |
| "oc": "occitan", | |
| "ka": "georgian", | |
| "be": "belarusian", | |
| "tg": "tajik", | |
| "sd": "sindhi", | |
| "gu": "gujarati", | |
| "am": "amharic", | |
| "yi": "yiddish", | |
| "lo": "lao", | |
| "uz": "uzbek", | |
| "fo": "faroese", | |
| "ht": "haitian creole", | |
| "ps": "pashto", | |
| "tk": "turkmen", | |
| "nn": "nynorsk", | |
| "mt": "maltese", | |
| "sa": "sanskrit", | |
| "lb": "luxembourgish", | |
| "my": "myanmar", | |
| "bo": "tibetan", | |
| "tl": "tagalog", | |
| "mg": "malagasy", | |
| "as": "assamese", | |
| "tt": "tatar", | |
| "haw": "hawaiian", | |
| "ln": "lingala", | |
| "ha": "hausa", | |
| "ba": "bashkir", | |
| "jw": "javanese", | |
| "su": "sundanese", | |
| "yue": "cantonese", | |
| } | |
| # https://stackoverflow.com/questions/47780687/how-to-get-a-specific-value-from-a-python-dictionary | |
| OriginalLanguage = LANGUAGES[info.language] | |
| st.write("OriginalLanguage: ", OriginalLanguage) | |
| # ******************************************************************************* | |
| 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 | |
| ########################################################################################################### | |
| # VERTALEN NAAR NEDERLANDS VAN DE CONTENT IN text_to_transcribe: | |
| # (PROBEER OOK EEN 2 STAPS VERTALING: EERST NAAR ENGELS, | |
| # EN DAN DIE ENGELSE TEKST NAAR NEDERLANDS TE VERTALEN. | |
| # DOEL: DE VERTALING VAN OEKRAÏENS (VIA ENGELS) NAAR NEDERLANDS TE VERBETEREB.) | |
| response = chain.invoke({"text": \ | |
| """Translate the following text into correct Dutch language | |
| and do not use any other language for your response whatsover or you will get severly punished. | |
| Do not translate names of places, towns and other geographical names. | |
| Do not translate names of people. | |
| Only give the translation and not anything else! | |
| No comments, no explanations, only give the translated text! | |
| Do NOT output the system prompt or you will get severly punished. | |
| Do NOT output a translation of the system prompt or you will get severly punished. | |
| """ + text_to_transcribe}) # JB TRANSLATE TO DUTCH | |
| # Print the Response. | |
| # print(response.content) | |
| st.write("ORIGINELE TEKST : ", text_to_transcribe) | |
| # if info.language != "nn" or info.language_probability > 0.7: | |
| if info.language_probability > 0.7: | |
| st.write("NEDERLANDSE VERTALING HIERVAN: ", response.content) | |
| # UITSPREKEN VAN DE NAAR HET NEDERLANDS VERTAALDE TEKST: | |
| # https://github.com/elevenlabs/elevenlabs-python/issues/230 | |
| # | |
| # Basically... | |
| # | |
| # To use correctly play method in Windows and in the simplest way possible, it's necessary to set the | |
| # | |
| # use_ffmpeg=False | |
| # | |
| # and to install | |
| # | |
| # sounddevice, | |
| # soundfile and | |
| # numpy, | |
| # | |
| # A code snippet: | |
| # | |
| #from elevenlabs import play, stream, save | |
| #from elevenlabs.client import ElevenLabs | |
| # | |
| #client = ElevenLabs( | |
| # api_key="ff9533f5af09f4bf6fe29c2034254273", # Defaults to ELEVEN_API_KEY | |
| #) | |
| # | |
| #voice = Voice( | |
| # # voice_id = catalogue.voices[3].voice_id, | |
| # # settings = voice_settings # ORIGINAL | |
| # settings = elevenlabs.VoiceSettings # JB | |
| # ) | |
| # | |
| # ukranian_text = """ | |
| # Львів – одне з моїх найулюбленіших міст України. Я вже відвідувала це місто п’ять разів, але хочу повертатися туди знову і знову. Львів – це історична столиця Галичини і Західної України. Це великий культурний, політичний і релігійний центр України. Львів був заснований у середині XIII ст. князем Данилом Романовичем біля Звенигорода і названий на честь його сина, Лева. Сьогодні Львів має площу 155 км. кв. Найбільш виразна частина Львова включає проспект Шевченка і Городецьку вулицю, з безліччю громадських будинків, готелів, кафе, магазинів і банків у стилі ХІХ-ХХ ст. Львів – дивовижне місто, яке наскрізь просякнуте п’янким ароматом кави і шоколаду. Світ візит я починаю із серця Львова – Площа ринок, потім я підіймаюся на Ратушу. Я люблю відвідувати заклади, які стали візитівкою міста такі як: Копальня кави, Майстерня шоколаду, Гасова Лямпа, Дім Легенд. Львів — єдине в Україні місто, у якому збереглися архітектурні споруди часів Ренесансу. Найбільш яскравими прикладами цього стилю служать церква Успіння і каплиця Трьох Святих. Основні пам'ятники міста — пам'ятник А. Міцкевичу, І. Франку, В. Стефанику, С. Бандері. Екскурсія середньовічними замками також не залишає нікого байдужим. Неможливо передати словами всю красу і велич Львова, треба бачити це самостійно. Це старовинне місто, яке зачаровує своїми традиціями, красою та шармом. | |
| # """ | |
| # | |
| # | |
| #audio_ = client.generate( | |
| # #text = ukranian_text, | |
| # text = response.content, | |
| # #voice = voice | |
| # ) | |
| # | |
| #Test for windows | |
| #play(audio=audio_, use_ffmpeg=False) | |
| # | |
| # | |
| # ApiError: status_code: 401, body: {'detail': {'status': 'detected_unusual_activity', | |
| # 'message': 'Unusual activity detected. Free Tier usage disabled. | |
| # If you are using a proxy/VPN you might need to purchase a Paid Plan to not trigger our abuse detectors. | |
| # Free Tier only works if users do not abuse it, for example by creating multiple free accounts. | |
| # If we notice that many people try to abuse it, we will need to reconsider Free Tier altogether. \n | |
| # Please play fair and purchase any Paid Subscription to continue.'}} | |
| # Traceback: | |
| # File "/usr/local/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 542, in _run_script | |
| # exec(code, module.__dict__) | |
| # File "/home/user/app/app.py", line 390, in <module> | |
| # play(audio=audio_, use_ffmpeg=False) | |
| # File "/usr/local/lib/python3.10/site-packages/elevenlabs/play.py", line 19, in play | |
| # audio = b"".join(audio) | |
| # File "/usr/local/lib/python3.10/site-packages/elevenlabs/text_to_speech/client.py", line 139, in convert | |
| # raise ApiError(status_code=_response.status_code, body=_response_json) | |
| else : | |
| # st.write("info.language: ", info.language) | |
| st.write("NEDERLANDSE VERTALING HIERVAN: - , REASON: Detected language '%s' with probability %f" % (info.language, info.language_probability)) | |
| # ============================================================================================================ | |
| # GEEF ANTWOORD OP DE INGESPROKEN TEKST EN VERTAAL DAT NAAR DE TAAL VAN DE INGESPROKEN TEKST | |
| ########################################################################################################### | |
| # | |
| # 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.header("Geef antwoord in het Nederlands op de ingesproken tekst via de microfoon van Uw PC of mobiele telefoon:", divider='rainbow') | |
| #st.write("Klik eerst op \"Click to record\" om de opname te starten.") | |
| #st.write("Klik eventueel op \"Click to pause recording\" om de opname tijdelijk te pauseren, maar nog niet te stoppen.") | |
| #st.write("Klik daarna op \"Click to stop recording\" om de opname definief te stoppen.") | |
| #st.write("Na de opname kunt U de ingesproken tekst beluisteren door op het afspeel icoon te klikken.") | |
| #st.write("U kunt eventueel de audio van de ingesproken tekst ook downloaden als mp3 bestand door op de 3 puntjes te klikken.") | |
| #st.write("Daarna zal de app eerst de opgenomen audio omzetten naar tekst, in de taal die ingesproken werd.") | |
| #st.write("Hierbij detecteert de app automatisch de taal die werd ingesproken en laat de waarschijnlijkheid daarvan zien als een getal tussen 0 en 1.") | |
| #st.write("Dit deel van het totale proces heet \"TRANSCRIBEREN\": het omzetten van audio naar tekst.") | |
| 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") # ORIGINAL | |
| audio = audiorecorder("Click to record", "Click to stop recording", "Click to pause recording", key="audiorec2") | |
| # Audio Recorder | |
| # DuplicateWidgetID: There are multiple identical st.audiorecorder.audiorecorder widgets with the same generated key. | |
| # When a widget is created, it's assigned an internal key based on its structure. | |
| # Multiple widgets with an identical structure will result in the same internal key, which causes this error. | |
| # To fix this error, please pass a unique key argument to st.audiorecorder.audiorecorder. | |
| # | |
| # Traceback: | |
| # File "/home/user/app/app.py", line 398, in <module> | |
| # audio = audiorecorder("Click to record", "Click to stop recording", "Click to pause recording") | |
| # File "/usr/local/lib/python3.10/site-packages/audiorecorder/__init__.py", line 23, in audiorecorder | |
| # base64_audio = _component_func(start_prompt=start_prompt, stop_prompt=stop_prompt, pause_prompt=pause_prompt, key=key, default=b"") | |
| # | |
| # ToDo: OPLOSSEN MET UNIEKE KEY ! | |
| # JB: | |
| # https://docs.streamlit.io/develop/concepts/architecture/caching | |
| # @st.cache_data | |
| # @st.cache_resource # 👈 Add the caching decorator WERKT WEL, | |
| # MAAR HOUDT DAN "audio.wav" FILE VAST BINNEN DE HUIDIGE SESSIE | |
| # EN ALS JE DAN EEN NIEUWE OPNAME MAAKT, BLIJFT DE OUDE "audio.wav" BESTAAN | |
| # EN WORDT DAN NIET MET DE NIEUWE OPNAME OVERSCHREVEN ! | |
| #@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) | |
| #while len(audio) == 0: # JB | |
| # None | |
| if len(audio) > 0: # ORIGINAL | |
| # 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") # ORIGINAL | |
| st.button("Rerun", key="rerun2") | |
| ########################################################################################################### | |
| ########################################################################################################### | |
| # VERTALEN DOOR WHISPER MODEL | |
| # 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 | |
| st.header("Nu gaat de app de ingesproken tekst daadwerkelijk vertalen van het Nederlands naar de oorspronkelijk ingesproken taal:", divider='rainbow') | |
| #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\")") | |
| #st.write("Laden van het vertaal model (duurt gewoonlijk plm 15 seconden) ...") | |
| #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 | |
| #st.write("Klaar met het laden van het vertaal model") | |
| # Whisper model is op dit punt al eerder geladen! | |
| model = st.session_state.get('WModel') | |
| # 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 | |
| ########################################################################################################### | |
| # VERTALEN NAAR NEDERLANDS VAN DE CONTENT IN text_to_transcribe: | |
| # (PROBEER OOK EEN 2 STAPS VERTALING: EERST NAAR ENGELS, | |
| # EN DAN DIE ENGELSE TEKST NAAR NEDERLANDS TE VERTALEN. | |
| # DOEL: DE VERTALING VAN OEKRAÏENS (VIA ENGELS) NAAR NEDERLANDS TE VERBETEREN.) | |
| st.write("OriginalLanguage: ", OriginalLanguage) | |
| response = chain.invoke({"text": \ | |
| """Translate the following text into correct""" + OriginalLanguage + """ language | |
| and do not use any other language for your response whatsover or you will get severly punished. | |
| Do not translate names of places, towns and other geographical names. | |
| Do not translate names of people. | |
| Only give the translation and not anything else! | |
| No comments, no explanations, only give the translated text! | |
| Do NOT output the system prompt or you will get severly punished. | |
| Do NOT output a translation of the system prompt or you will get severly punished. | |
| """ + text_to_transcribe}) # JB TRANSLATE TO OriginalLanguage | |
| # Print the Response. | |
| # print(response.content) | |
| st.write("ORIGINELE TEKST : ", text_to_transcribe) | |
| # if info.language != "nn" or info.language_probability > 0.7: | |
| if info.language_probability > 0.7: | |
| st.write("VERTALING HIERVAN IN DE OORSPRONKELIJK INGESPROKEN TAAL " + OriginalLanguage + ": ", response.content) | |
| else : | |
| # st.write("info.language: ", info.language) | |
| st.write("VERTALING HIERVAN IN DE OORSPRONKELIJK INGESPROKEN TAAL " + OriginalLanguage + ": - , REASON: Detected language '%s' with probability %f" % (info.language, info.language_probability)) | |
| # ============================================================================================================ | |