Create app.py

app.py

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+# app.py
+
+import os
+import streamlit as st
+from groq import Groq
+
+# Set your GROQ API Key here directly (since in Colab it's easier)
+GROQ_API_KEY = "your-groq-api-key-here"  # <-- Replace with your key
+
+# Create the GROQ client
+client = Groq(
+    api_key=GROQ_API_KEY,
+)
+
+# Streamlit app
+st.title("🤖 Chatbot using GROQ API")
+
+# Store the conversation
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display old messages
+for message in st.session_state.messages:
+    if message["role"] == "user":
+        with st.chat_message("user"):
+            st.write(message["content"])
+    else:
+        with st.chat_message("assistant"):
+            st.write(message["content"])
+
+# Input from user
+user_input = st.chat_input("Type your message...")
+
+if user_input:
+    # Save user message
+    st.session_state.messages.append({"role": "user", "content": user_input})
+
+    # Send all messages to model
+    chat_completion = client.chat.completions.create(
+        messages=st.session_state.messages,
+        model="llama-3-3-70b-versatile",
+    )
+
+    # Get model's reply
+    reply = chat_completion.choices[0].message.content
+
+    # Save assistant reply
+    st.session_state.messages.append({"role": "assistant", "content": reply})
+
+    # Display assistant reply
+    with st.chat_message("assistant"):
+        st.write(reply)