changed reloading envirenmental variables method

app.py

@@ -6,7 +6,7 @@ import torchaudio
 import gradio as gr
 import requests
 import json
-from decouple import Config
+import dotenv
 from transformers import AutoProcessor, SeamlessM4TModel
 
 from lang_list import (
@@ -18,7 +18,7 @@ from lang_list import (
     LANG_TO_SPKR_ID,
 )
 
-config = Config('.env')
+dotenv.load_dotenv()
 
 DEFAULT_TARGET_LANGUAGE = "English"
 AUDIO_SAMPLE_RATE = 16000.0
@@ -74,7 +74,7 @@ def predict(
 
 def process_image_with_openai(image):
     image_data = convert_image_to_required_format(image)
-    openai_api_key = config('OPENAI_API_KEY')  # Make sure to have this in your .env file
+    openai_api_key = os.getenv('OPENAI_API_KEY')  # Make sure to have this in your .env file
 
     data_payload = {
         "model": "gpt-4-vision-preview",
@@ -106,9 +106,9 @@ def query_vectara(text):
     user_message = text
 
     # Read authentication parameters from the .env file
-    CUSTOMER_ID = config('CUSTOMER_ID')
-    CORPUS_ID = config('CORPUS_ID')
-    API_KEY = config('API_KEY')
+    CUSTOMER_ID = os.getenv('CUSTOMER_ID')
+    CORPUS_ID = os.getenv('CORPUS_ID')
+    API_KEY = os.getenv('API_KEY')
 
     # Define the headers
     api_key_header = {

requirements.txt

@@ -3,3 +3,4 @@ gradio
 git+https://github.com/huggingface/transformers
 torchaudio==2.0.2
 sentencepiece
+python-dotenv