Update app.py

app.py

@@ -14,11 +14,17 @@
 
 import gradio as gr
 import numpy as np
+from groq import Groq
 import soundfile as sf
 from sentence_transformers import SentenceTransformer
 from sklearn.metrics.pairwise import cosine_similarity
 
+# Initialize Groq client
+client = Groq(
+    api_key=os.environ.get("GROQ_API_KEY"),
+)
 # Load the pre-trained Sentence Transformer model
+
 model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
 
 # Function to generate a subliminal message
@@ -184,6 +190,18 @@ def wellness_analyzer(input_text, uploaded_file=None):
     
     return output, audio_file
 
+    try:
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": prompt,
+                }
+            ],
+            model="llama-3.1-8b-instant",
+            max_tokens=10,  # Increased to allow for longer emotion words
+        )
+
 # Define custom CSS
 custom_css = """
 .footer {