Update app.py

app.py

@@ -1,23 +1,36 @@
 import os
 import gradio as gr
 from groq import Groq
+import traceback
+import logging
 
-# Init Groq client
-client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+# Setup logging
+logging.basicConfig(filename="error.log", level=logging.DEBUG, format="%(asctime)s - %(levelname)s - %(message)s")
 
-# This now takes 3 args: message, history, and additional_input
+# Check if API key is loaded
+api_key = os.environ.get("GROQ_API_KEY")
+if not api_key:
+    logging.error("Missing GROQ_API_KEY environment variable.")
+
+client = Groq(api_key=api_key)
+
+# Function with error logging
 def chat_inference(message, history, example_prompt):
     try:
+        logging.debug(f"User message: {message}")
         response = client.chat.completions.create(
             messages=[{"role": "user", "content": message}],
             model="compound-beta"
         )
         reply = response.choices[0].message.content
+        logging.debug(f"Groq reply: {reply}")
     except Exception as e:
-        reply = f"⚠️ Error: {str(e)}"
+        error_details = traceback.format_exc()
+        logging.error(f"Error during Groq API call:\n{error_details}")
+        reply = f"⚠️ Error: Connection error or API issue.\n\nSee logs in `error.log` for more info."
     return reply
 
-# Optional example input (can remove if not needed)
+# Optional input
 additional_inputs = [
     gr.Textbox(label="🔍 Example Prompt", value="What were the main highlights from the latest Apple keynote?")
 ]
@@ -29,7 +42,7 @@ chat_interface = gr.ChatInterface(
     title="🔍 AI-Powered Real-Time Search with Groq",
     description="Ask anything that requires real-time info — powered by Groq’s `compound-beta` model.",
     theme="default",
-    type="messages",  # ✅ Correct value!
+    type="messages",  # Correct format
 )
 
 if __name__ == "__main__":