Update app.py
Browse files
app.py
CHANGED
@@ -1,20 +1,21 @@
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import streamlit as st
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import base64
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import os
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from flask import Flask, request, jsonify
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from pydub import AudioSegment
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import whisper
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from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
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#
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os.environ[
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# Load the Whisper model
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whisper_model = whisper.load_model("base"
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# Load the translation model and tokenizer
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tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_418M"
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translation_model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M"
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def preprocess_audio(audio_path):
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"""Convert audio to 16kHz mono WAV format."""
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@@ -57,3 +58,24 @@ def handle_request(audio_base64, source_lang, target_lang):
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os.remove(audio_file_path)
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return {"transcribed_text": spoken_text, "translated_text": translated_text}
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import os
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import base64
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import tempfile
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from flask import Flask, request, jsonify
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from pydub import AudioSegment
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import whisper
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from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
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# Set the cache directory to a writable location
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os.environ["TRANSFORMERS_CACHE"] = "/app/cache" # Use a subdirectory in your working directory
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os.environ["HF_HOME"] = "/app/cache" # Set HF_HOME for Hugging Face libraries
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# Load the Whisper model
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whisper_model = whisper.load_model("base")
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# Load the translation model and tokenizer
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tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_418M")
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translation_model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M")
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def preprocess_audio(audio_path):
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"""Convert audio to 16kHz mono WAV format."""
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os.remove(audio_file_path)
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return {"transcribed_text": spoken_text, "translated_text": translated_text}
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# Flask for handling external POST requests
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app = Flask(__name__)
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@app.route('/translate', methods=['POST'])
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def translate():
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"""API endpoint for handling audio translation."""
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data = request.json
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if 'audio' not in data or 'source_lang' not in data or 'target_lang' not in data:
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return jsonify({"error": "Invalid request format"}), 400
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audio_base64 = data['audio']
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source_lang = data['source_lang']
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target_lang = data['target_lang']
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# Call the handle_request function to process the request
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response = handle_request(audio_base64, source_lang, target_lang)
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return jsonify(response)
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if __name__ == "__main__":
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app.run(host='0.0.0.0', port=7860)
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