Create app.py

app.py

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+import streamlit as st
+import os
+from groq import Groq
+
+# Load API key from environment variable
+api_key = os.getenv("GROQ_API_KEY")
+
+# Initialize Groq client with the secret API key
+client = Groq(api_key=api_key)
+
+# Streamlit page config
+st.set_page_config(page_title="Groq Chatbot", page_icon="🤖")
+st.title("🤖 Groq Chatbot (LLaMA3-70B)")
+
+# Initialize chat history in session state
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display previous chat messages
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).markdown(msg["content"])
+
+# User input
+prompt = st.chat_input("Type your message...")
+
+if prompt:
+    # Append user message
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    st.chat_message("user").markdown(prompt)
+
+    # Get response from Groq API
+    with st.spinner("Thinking..."):
+        try:
+            response = client.chat.completions.create(
+                model="llama3-70b-8192",
+                messages=[{"role": m["role"], "content": m["content"]} for m in st.session_state.messages],
+            )
+            reply = response.choices[0].message.content
+        except Exception as e:
+            reply = f"⚠️ Error: {str(e)}"
+
+    # Append and display assistant reply
+    st.session_state.messages.append({"role": "assistant", "content": reply})
+    st.chat_message("assistant").markdown(reply)