Update app.py

app.py

@@ -4,10 +4,15 @@ import whisper
 import streamlit as st
 from groq import Groq
 from TTS.api import TTS
+from dotenv import load_dotenv
 from tempfile import NamedTemporaryFile
 from streamlit_webrtc import webrtc_streamer, WebRtcMode, ClientSettings
 import av
 
+# Load API key from Hugging Face
+load_dotenv()
+API_KEY = os.getenv("HUGGINGFACE_API_KEY")
+
 # LLM Response Function
 def get_llm_response(api_key, user_input):
     client = Groq(api_key=api_key)
@@ -149,8 +154,7 @@ def main():
             return
 
         # Get AI Response
-        api_key = st.secrets["GROQ_API_KEY"]
-        response_text = get_llm_response(api_key, user_input)
+        response_text = get_llm_response(API_KEY, user_input)
 
         # Generate Speech
         output_audio_path = "output_speech.wav"
@@ -162,4 +166,4 @@ def main():
             st.error(str(e))
 
 if __name__ == "__main__":
-    main()
+    main()