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• How to use ffmpeg binary in android ?

  6 novembre 2013, par cjose3

  I want make a video from images. I see in some posts (Using FFmpeg with Android-NDK, Create a Video file from images using ffmpeg images-using-ffmpeg) That use command line, is the best choice ?? it's possible ?

  How are build ffmpeg.so ?
  How I can add to the project ?

  This is the command that pretenfi use :

  ffmpeg -r 1 -pattern_type glob -i '*.jpg' out.mp4

  thanks very much.
  I have 2 weeks search !

  Sorry for my English.

• The audio selector of kaltura player is inactive

  17 février 2018, par Bolot Kalil

  Guys.

  I have created single video file with multiple audio using this ffmpeg code :

  ffmpeg -y -i input.mp4 -i 1.mp3 -i 2.mp3 -map 0:v -map 1:a -map 2:a -metadata:s:a:0 language=kir -metadata:s:a:0 title="Kirghiz" -metadata:s:a:1 language=eng -metadata:s:a:1 title="English" -acodec copy -bsf:a aac_adtstoasc -vcodec copy -movflags faststart output.mp4

  But on the kaltura after uploading the video file, audio selector on the player is inactive, why ?

  I have tried also with xml file, the result is same.

  Please help me I couldn’t find the reason why this happens.

  Many thanks.

• 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()