Create app.py

app.py

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+import os
+import streamlit as st
+from groq import Groq
+
+# ----------------------------
+# Groq API key
+# ----------------------------
+# On Hugging Face, you'll set this as a secret: GROQ_API_KEY
+GROQ_API_KEY = os.environ.get("GROQ_API_KEY", "")
+client = Groq(api_key=GROQ_API_KEY)
+
+# ----------------------------
+# Streamlit UI
+# ----------------------------
+st.set_page_config(page_title="Groq AI Chatbot", page_icon="🤖")
+st.title("🤖 Groq AI Chatbot (Streamlit)")
+
+if "messages" not in st.session_state:
+    st.session_state["messages"] = []
+
+# Display chat history
+for msg in st.session_state["messages"]:
+    if msg["role"] == "user":
+        st.markdown(f"**You:** {msg['content']}")
+    else:
+        st.markdown(f"**AI:** {msg['content']}")
+
+# User input
+prompt = st.text_input("Type your question here:")
+
+if prompt:
+    st.session_state["messages"].append({"role": "user", "content": prompt})
+    try:
+        completion = client.chat.completions.create(
+            model="llama-3.1-8b-instant",
+            messages=st.session_state["messages"]
+        )
+        reply = completion.choices[0].message.content
+    except Exception as e:
+        reply = f"(Error: {e})"
+
+    st.session_state["messages"].append({"role": "assistant", "content": reply})
+    st.experimental_rerun()