Using s3 instead of firebase

server.py

@@ -6,46 +6,36 @@ import librosa
 from Utils import ProceesAudio
 import soundfile as sf
 import datetime
+import boto3
 from flask_jwt_extended import JWTManager, jwt_required, create_access_token, get_jwt_identity
 
 app = Flask(__name__)
 app.config['MAX_CONTENT_LENGTH'] = 100 * 1024 * 1024  # 16 MB limit
 
-
-# Firebase configuration
-# firebase_config = {
-#   "apiKey": "AIzaSyBqDZlqD7UOBvt2zsk9OLWKH1Lc3_f_VJM",
-#   "authDomain": "modifier-4088b.firebaseapp.com",
-#   "projectId": "modifier-4088b",
-#   "storageBucket": "modifier-4088b.appspot.com",
-#   "messagingSenderId": "237119475630",
-#   "appId": "1:237119475630:web:6c96c38c61285f5fcb823f",
-#   "measurementId": "G-6CWLQMT2Q3",
-#   "databaseURL": "https://modifier-4088b.firebaseio.com",
-# }
-
-# firebase = pyrebase.initialize_app(firebase_config)
-# storage = firebase.storage()
+# AWS S3 Configuration
+s3 = boto3.client('s3')
+BUCKET_NAME = 'songsbucketparth'
 
 @app.route('/process_and_upload', methods=['POST'])
+def upload_to_s3(processed_data, userId):
+    # Create an in-memory bytes buffer
+    buffer = io.BytesIO()
 
-# def upload_to_firebase(processed_data, userId):
-#     # Create an in-memory bytes buffer
-#     buffer = io.BytesIO()
+    # Write processed data to the buffer as a WAV file
+    sf.write(buffer, processed_data, 44100, format='WAV')
+    buffer.seek(0)  # Rewind the buffer
 
-#     # Write processed data to the buffer as a WAV file
-#     sf.write(buffer, processed_data, 44100, format='WAV')
-#     buffer.seek(0)  # Rewind the buffer
+    # Generate a unique file name
+    timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
+    s3_key = f'uploads/processed_audio_{userId}_{timestamp}.wav'
 
-#     # Upload the buffer to Firebase Storage
-#     storage_path = f'uploads/processed_audio_{userId}.wav'
-#     storage.child(storage_path).put(buffer, f'processed_audio_{userId}.wav')
+    # Upload the buffer to AWS S3
+    s3.upload_fileobj(buffer, BUCKET_NAME, s3_key, ExtraArgs={'ContentType': 'audio/wav'})
 
-#     # Get the URL of the uploaded file
-#     file_url = storage.child(storage_path).get_url(None)
-
-#     return file_url
+    # Generate the URL of the uploaded file
+    file_url = f'https://{BUCKET_NAME}.s3.amazonaws.com/{s3_key}'
 
+    return file_url
 
 def int16_to_float32(samples):
     return samples.astype(np.float32) / 32768.0
@@ -64,7 +54,7 @@ def process_audio_bytes(audio_bytes):
     pa = ProceesAudio()
 
     processed_data = pa.perform_modulation(data=data, sr=sample_rate, index=0)
-    # file_url = upload_to_firebase(processed_data=processed_data, userId="parth")
+    file_url = upload_to_s3(processed_data=processed_data, userId="parth")
     arr_to_show = []
 
     acc_factor = int(len(processed_data)/150)
@@ -75,7 +65,7 @@ def process_audio_bytes(audio_bytes):
     for i in range(len(arr_to_show)):
         arr_to_show[i] = float(arr_to_show[i])
 
-    return jsonify({"file_url": "", "array": arr_to_show})
+    return jsonify({"file_url": file_url, "array": arr_to_show})
 
 @app.route('/modify', methods=['POST'])
 def modify():