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• Add FUNDING.json

  19 juin, par Michael Niedermayer

  Add FUNDING.json
  We have been contacted by Monet du Plessis of the etherium foundation and
  
  Natascha Buck (Grants at the Better Internet Foundation)
  "The Ethereum Foundation is thrilled to inform you that your contribution to
  
   open-source software development through your work on ffmpeg
  
   https://github.com/FFmpeg/FFmpeg  has been recognized and rewarded by the
  
   Devcon team ! Your project played a fundamental role in the success of Devcon
  
   <http://devcon.org/>, helping to create a more meaningful experience for
  
   the Ethereum community. In collaboration with Drips Network
  
   <https://www.drips.network/>, we are pleased to award you $2,240.00 in
  
   appreciation of your efforts and to support your continued efforts in
  
   open-source development."
  To be able to claim donations through the drips network we need to
  
  specify a wallet to do so in FUNDING.json
  This will also allow FFmpeg to receive future funding and donations
  
  through the drips network.
  The specified wallet is a safe wallet backed by a ledger hw wallet.
  
  We can later change who controls the safe wallet. (For example it
  
  could be passed on to the SPI treasurer)
  Signed-off-by : Michael Niedermayer <michael@niedermayer.cc>
  

  • [DH] FUNDING.json

• 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()


  


• Java video manipulation library

  21 octobre 2015, par Gabriele Ciech

  I’m searching for a Java library that allows me to do some video manipulation like splitting a video in many parts and converting it into some other formats.

  I’ve found out that there are already some libraries like Xuggler but they are no more under active development or mantained.

  Can someone tell me which library I can use for accomplish my task or how can I build my own wrapper for ffmpeg ?
  Thanks for helping me