Create app.py

app.py

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+import streamlit as st
+import os
+from dotenv import load_dotenv
+from groq import Groq
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Get the GROQ API key from the .env file
+API_KEY = os.getenv("GROQ_API_KEY")
+if not API_KEY:
+    st.error("GROQ_API_KEY is not set. Please check your .env file.")
+
+# Initialize the Groq client
+client = Groq(api_key=API_KEY)
+
+# Streamlit App
+st.title("Q&A Application with Groq API")
+st.write("Ask a question and get a response using Groq's AI model!")
+
+# Input prompt from the user
+user_input = st.text_input("Enter your question:", "")
+
+# Button to trigger the API call
+if st.button("Get Answer"):
+    if user_input.strip():
+        try:
+            # API call to Groq
+            chat_completion = client.chat.completions.create(
+                messages=[{"role": "user", "content": user_input}],
+                model="llama3-8b-8192"
+            )
+            # Extracting the response
+            response = chat_completion.choices[0].message.content
+            # Display the response
+            st.subheader("Response:")
+            st.write(response)
+        except Exception as e:
+            st.error(f"Error: {str(e)}")
+    else:
+        st.warning("Please enter a valid question.")
+
+# Footer
+st.markdown("---")
+st.markdown("**Powered by Groq AI**")