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  • MediaSPIP Core : La Configuration

    9 novembre 2010, par

    MediaSPIP Core fournit par défaut trois pages différentes de configuration (ces pages utilisent le plugin de configuration CFG pour fonctionner) : une page spécifique à la configuration générale du squelettes ; une page spécifique à la configuration de la page d’accueil du site ; une page spécifique à la configuration des secteurs ;
    Il fournit également une page supplémentaire qui n’apparait que lorsque certains plugins sont activés permettant de contrôler l’affichage et les fonctionnalités spécifiques (...)

  • Les tâches Cron régulières de la ferme

    1er décembre 2010, par

    La gestion de la ferme passe par l’exécution à intervalle régulier de plusieurs tâches répétitives dites Cron.
    Le super Cron (gestion_mutu_super_cron)
    Cette tâche, planifiée chaque minute, a pour simple effet d’appeler le Cron de l’ensemble des instances de la mutualisation régulièrement. Couplée avec un Cron système sur le site central de la mutualisation, cela permet de simplement générer des visites régulières sur les différents sites et éviter que les tâches des sites peu visités soient trop (...)

  • Use, discuss, criticize

    13 avril 2011, par

    Talk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
    The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
    A discussion list is available for all exchanges between users.

Sur d’autres sites (4092)

  • libx264 codex not enabled in ffmpeg ubuntu 18.04

    23 novembre 2022, par Bendemann

    I have some weird codex installation issues with the following docker image.

    


    ARG PYTORCH="1.8.0"
ARG CUDA="11.1"
ARG CUDNN="8"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 8.0+PTX"
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"

# https://github.com/NVIDIA/nvidia-docker/issues/1632
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64/7fa2af80.pub

RUN apt-get update && apt-get install -y \
        git nano ninja-build p7zip-full imagemagick wget unzip \
        libglib2.0-0 libsm6 libxrender-dev libxext6 libturbojpeg \
        libxrender1 libfontconfig1 freeglut3-dev llvm-6.0-tools curl \
        amqp-tools ffmpeg libx264-dev \
    && apt --fix-broken install \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/* \
    # for visualizing
    && wget https://github.com/mmatl/travis_debs/raw/master/xenial/mesa_18.3.3-0.deb \
    && dpkg -i ./mesa_18.3.3-0.deb || true \
    && apt install -f \
    && git clone https://github.com/mmatl/pyopengl.git \
    && pip install ./pyopengl


    


    First of all, libx264 is supposed to be installed by a simple apt-get install ffmpeg in ubuntu 18.04.5. Indeed I see that it is being installed in the installation instructions but for some reason, it's not enabled. This is confirmed when running ffmpeg -codecs | grep 264, which doesn't show libx264 (only h264, libopenh264 are there).

    


    In addition, I also compiled from source, explicitly enabling libx264 during installation. It didn't make a difference.

    


  • libx264 codex not enabled in ffmpeg ubuntu 18.04

    23 novembre 2022, par Bendemann

    I have some weird codex installation issues with the following docker image.

    


    ARG PYTORCH="1.8.0"
ARG CUDA="11.1"
ARG CUDNN="8"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 8.0+PTX"
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"

# https://github.com/NVIDIA/nvidia-docker/issues/1632
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64/7fa2af80.pub

RUN apt-get update && apt-get install -y \
        git nano ninja-build p7zip-full imagemagick wget unzip \
        libglib2.0-0 libsm6 libxrender-dev libxext6 libturbojpeg \
        libxrender1 libfontconfig1 freeglut3-dev llvm-6.0-tools curl \
        amqp-tools ffmpeg libx264-dev \
    && apt --fix-broken install \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/* \
    # for visualizing
    && wget https://github.com/mmatl/travis_debs/raw/master/xenial/mesa_18.3.3-0.deb \
    && dpkg -i ./mesa_18.3.3-0.deb || true \
    && apt install -f \
    && git clone https://github.com/mmatl/pyopengl.git \
    && pip install ./pyopengl


    


    First of all, libx264 is supposed to be installed by a simple apt-get install ffmpeg in ubuntu 18.04.5. Indeed I see that it is being installed in the installation instructions but for some reason, it's not enabled. This is confirmed when running ffmpeg -codecs | grep 264, which doesn't show libx264 (only h264, libopenh264 are there).

    


    In addition, I also compiled from source, explicitly enabling libx264 during installation. It didn't make a difference.

    


  • I faced ffmpeg error in my project run time

    3 juillet 2023, par Jesy J
    Runtime error: can't load audio from file: 'ffmpeg' not found. Please install 
'ffmpeg' in your system to use non- wav audio file format and make sure 'ffprobe' 
is in your path


    


    I configure ffmpeg in my system but still I face this error.

    


    This is my code :

    


    !pip install gradio
!pip install SpeechRecognition
!pip install pydub
!pip install openai

import gradio as gr
import speech_recognition as sr
from pydub import AudioSegment
import openai

# Set up OpenAI API
openai.api_key = [MASKED]

# Function to convert text to speech using OpenAI's API
def text_to_speech(text, language):
    response = openai.Completion.create(
        engine="davinci",
        prompt=f"Translate the following English text into {language}: \"{text}\"",
        max_tokens=100,
        temperature=0.8,
        top_p=1.0,
        frequency_penalty=0.0,
        presence_penalty=0.0,
        stop=None,
        n=1,
        log_level="info"
    )
    return response.choices[0].text.strip()

# Function to recognize speech from audio
def speech_to_text(audio):
    recognizer = sr.Recognizer()
    with sr.AudioFile(audio) as source:
        audio_data = recognizer.record(source)
    return recognizer.recognize_google(audio_data)

# Function to convert audio to desired language
def convert_language(audio, target_language):
    recognized_text = speech_to_text(audio)
    translated_text = text_to_speech(recognized_text, target_language)
    return translated_text

# Function to process user input and generate output
def process_audio(input_audio, target_language):
    converted_text = convert_language(input_audio.name, target_language)
    return gr.outputs.Audio(converted_text, type="filepath")

# Set up Gradio interface
audio_input = gr.inputs.Audio(source="microphone")

language_input = gr.inputs.Dropdown(choices=["English", "French", "German"])  # Add more languages as needed

output_audio = gr.outputs.Audio(type="filepath", label="Output Audio")

title = "Multilingual AI Voice Assistant"

description = "Upload an audio file and select the target language for translation."

gr.Interface(fn=process_audio, inputs=[audio_input, language_input], outputs=output_audio, title=title, description=description).launch()


    


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