Update app.py
Browse files
app.py
CHANGED
@@ -27,6 +27,9 @@ from textblob import TextBlob
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import whisper
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import time
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def silence(duration, fps=44100):
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"""
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Returns a silent AudioClip of the specified duration.
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@@ -324,7 +327,47 @@ def generate_voiceover(translated_json, language, output_audio_path):
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tts.save(output_audio_path)
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except Exception as e:
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raise ValueError(f"Error generating voiceover: {e}")
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-
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def upload_and_manage(file, target_language, mode="transcription"):
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if file is None:
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logger.info("No file uploaded. Please upload a video/audio file.")
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import whisper
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import time
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# Set your OpenAI API key
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openai.api_key = "YOUR_OPENAI_API_KEY"
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def silence(duration, fps=44100):
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"""
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Returns a silent AudioClip of the specified duration.
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tts.save(output_audio_path)
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except Exception as e:
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raise ValueError(f"Error generating voiceover: {e}")
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def generate_voiceover_OpenAI(translated_json, language, output_audio_path):
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"""
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Generate voiceover from translated text for a given language using OpenAI TTS API.
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"""
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# Concatenate translated text into a single string
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full_text = " ".join(entry["translated"] for entry in translated_json)
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# Define the voice based on the language (for now, use 'alloy' as default)
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voice = "alloy" # Adjust based on language if needed
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# Define the model (use tts-1 for real-time applications)
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model = "tts-1"
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max_retries = 3
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retry_count = 0
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while retry_count < max_retries:
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try:
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# Create the speech using OpenAI TTS API
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response = openai.Audio.speech.create(
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model=model,
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voice=voice,
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input=full_text
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)
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# Save the audio to the specified path
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with open(output_audio_path, "wb") as f:
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f.write(response['audio'])
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logging.info(f"Voiceover generated successfully for {output_audio_path}")
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break
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except Exception as e:
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retry_count += 1
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logging.error(f"Error generating voiceover (retry {retry_count}/{max_retries}): {e}")
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time.sleep(5) # Wait 5 seconds before retrying
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if retry_count == max_retries:
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raise ValueError(f"Failed to generate voiceover after {max_retries} retries.")
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def upload_and_manage(file, target_language, mode="transcription"):
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if file is None:
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logger.info("No file uploaded. Please upload a video/audio file.")
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