Create app.py

app.py

@@ -1,35 +1,17 @@
 import os
-import streamlit as st
 from groq import Groq
-from dotenv import load_dotenv
 
-# Load environment variables
-load_dotenv()
-GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+# Set API key directly for testing (remove this after testing)
+os.environ["GROQ_API_KEY"] = "your_actual_api_key_here"
 
-# Initialize Groq Client
-client = Groq(api_key=GROQ_API_KEY)
+client = Groq(api_key=os.getenv("GROQ_API_KEY"))
 
-def get_routine_response(user_input):
-    """Fetches response from Groq's LLaMA model."""
+# Test API authentication
+try:
     chat_completion = client.chat.completions.create(
-        messages=[{"role": "user", "content": user_input}],
+        messages=[{"role": "user", "content": "Test message"}],
         model="llama-3.3-70b-versatile",
     )
-    return chat_completion.choices[0].message.content
-
-# Streamlit UI
-st.title("📅 Routine Assistant Chatbot")
-st.write("Ask me about your study schedule, time management, and educational routines!")
-
-# User input
-user_input = st.text_input("Enter your question:")
-
-if user_input:
-    response = get_routine_response(user_input)
-    st.write("🧠 AI Response:")
-    st.write(response)
-    st.code(response, language='text')  # Add copy option
-
-# Disclaimer for unrelated queries
-st.write("⚠️ This chatbot only provides educational routine assistance. Please keep questions relevant!")
+    print(chat_completion.choices[0].message.content)
+except Exception as e:
+    print("Error:", e)