Update app.py

app.py

@@ -1,34 +1,50 @@
 import gradio as gr
 import openai
-import os 
+import os
 
+# Ensure the API key is loaded correctly
 openai.api_key = os.getenv("GROQ_API_KEY")
 openai.api_base = "https://api.groq.com/openai/v1"
 
 def get_groq_response(message):
-  try:
-    response = openai.ChatCompletion.create(
-        model = "llama-3.3-70b-versatile",
-        messages = [
-            {"role": "system", "content": "Precise answer"},
-            {"role": "user", "content": message}
-        ]
-    )
-    return response.choices[0].message["content"]
-  except Exception as e:
-    return f"Error: {str(e)}" 
+    try:
+        # Logging the message before sending
+        print(f"Sending message: {message}")
+        
+        response = openai.ChatCompletion.create(
+            model="llama-3.3-70b-versatile",
+            messages=[
+                {"role": "system", "content": "Precise answer"},
+                {"role": "user", "content": message}
+            ]
+        )
+        
+        # Correcting the response structure
+        bot_message = response['choices'][0]['message']['content']
+        
+        # Log the bot's response
+        print(f"Received response: {bot_message}")
+        
+        return bot_message
+    
+    except Exception as e:
+        print(f"Error: {str(e)}")
+        return f"Error: {str(e)}"
+
+
+def chatbot(user_input, history=[]):
+    bot_response = get_groq_response(user_input)
+    history.append((user_input, bot_response))
+    return history, history
 
-def chatbot(user_input, history = []):
-  bot_response = get_groq_response(user_input)
-  history.append((user_input, bot_response))
-  return history, history
 
 chat_interface = gr.Interface(
     fn=chatbot,
-    inputs= ["text", "state"],
+    inputs=["text", "state"],
     outputs=["chatbot", "state"],
     live=False,
     title="My Chatbot",
     description="Mom: We have ChatGPT at Home, \n ChatGPT at Home:"
 )
-chat_interface.launch()
+
+chat_interface.launch()