Create app.py

app.py

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+import streamlit as st
+import os
+from groq import Groq
+
+# Set up Streamlit page config
+st.set_page_config(page_title="Groq Chatbot", page_icon="🤖")
+
+# Title
+st.title("🤖 Chat with Groq LLM")
+
+# Input API Key (optional for local testing, hidden in HF Spaces)
+if "GROQ_API_KEY" not in os.environ:
+    groq_api_key = st.text_input("Enter your GROQ API Key", type="password")
+else:
+    groq_api_key = os.environ.get("GROQ_API_KEY")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Show chat history
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).markdown(msg["content"])
+
+# Input field
+user_input = st.chat_input("Type your message here...")
+
+if user_input and groq_api_key:
+    # Display user message
+    st.chat_message("user").markdown(user_input)
+    st.session_state.messages.append({"role": "user", "content": user_input})
+
+    # Send request to Groq API
+    client = Groq(api_key=groq_api_key)
+    try:
+        response = client.chat.completions.create(
+            messages=st.session_state.messages,
+            model="llama3-70b-8192"  # Or "llama-3.3-70b-versatile" if that's valid
+        )
+        reply = response.choices[0].message.content
+        st.chat_message("assistant").markdown(reply)
+        st.session_state.messages.append({"role": "assistant", "content": reply})
+    except Exception as e:
+        st.error(f"Error: {e}")