Update run.py

run.py

@@ -7,8 +7,6 @@ import torch
 import re
 from werkzeug.utils import secure_filename
 import uuid
-
-import os
 import platform
 
 # Set Transformers Cache Directory
@@ -35,7 +33,7 @@ print(f"Environment variable TRANSFORMERS_CACHE set to '{transformers_cache_dire
 
 
 class Config:
-    UPLOAD_FOLDER = os.path.join(os.path.dirname(__file__), 'uploads')  # Correct path
+    UPLOAD_FOLDER = os.path.join(os.path.dirname(__file__), '/tmp/uploads')  # Correct path
     MAX_CONTENT_LENGTH = 16 * 1024 * 1024  # 16MB max file size
     CORS_HEADERS = 'Content-Type'
 
@@ -148,10 +146,12 @@ def analyze_sentiment(file_path: str):
         return [{'label': 'Error', 'score': 0.5}]
 
 
+
 def create_app():
     app = Flask(__name__)
     app.config.from_object(Config)
-    CORS(app)
+
+    # Ensure the uploads directory exists
     os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
 
     @app.route('/upload', methods=['POST'])
@@ -162,7 +162,7 @@ def create_app():
                 return jsonify({'error': 'No transcript received'}), 400
 
             # Save the transcript in the current folder
-            file_path = os.path.join(app.config['UPLOAD_FOLDER'], 'transcript.txt')
+            file_path = os.path.join(os.getcwd(), 'transcript.txt')
             with open(file_path, 'w') as file:
                 file.write(transcript)
 
@@ -180,6 +180,7 @@ def create_app():
 
 
 
+
 if __name__ == '__main__':
     app = create_app()
     app.run(host="0.0.0.0", port=5000)