Create app.py

app.py

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+import os
+import streamlit as st
+from groq import Groq
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Ensure your environment variable for the API key is set
+api_key = os.getenv("GROQ_API_KEY")
+if not api_key:
+    st.error("API key is not set. Please set your GROQ_API_KEY environment variable.")
+    st.stop()
+
+# Initialize Groq client with API key
+client = Groq(api_key=api_key)
+
+# Streamlit interface
+st.title("General Knowledge Chatbot")
+
+# Chat history container
+chat_history = st.container()
+user_input = st.text_input("Ask me anything:")
+
+if user_input:
+    # Add user message to chat history
+    with chat_history:
+        st.write(f"**You:** {user_input}")
+    
+    # Chat completion request to Groq API
+    chat_completion = client.chat.completions.create(
+        messages=[
+            {"role": "user", "content": user_input},
+        ],
+        model="llama-3.3-70b-versatile",  # Use the model that suits your needs
+    )
+
+    # Get the response from the API
+    response = chat_completion.choices[0].message.content
+    
+    # Display response
+    with chat_history:
+        st.write(f"**Chatbot:** {response}")