Create app.py

app.py

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+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")
+
+# Initialize Groq Client
+client = Groq(api_key=GROQ_API_KEY)
+
+def get_routine_response(user_input):
+    """Fetches response from Groq's LLaMA model."""
+    chat_completion = client.chat.completions.create(
+        messages=[{"role": "user", "content": user_input}],
+        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!")