Create app.py

app.py

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+import streamlit as st
+from groq import Groq
+import os
+from dotenv import load_dotenv
+
+# Load API key from .env file
+load_dotenv()
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+# Ensure API key is set
+if not GROQ_API_KEY:
+    st.error("API key is missing. Please check your .env file.")
+    st.stop()
+
+# Initialize Groq API Client with API Key
+client = Groq(api_key=GROQ_API_KEY)
+
+# Streamlit UI
+st.set_page_config(page_title="💄 Makeup & Cosmetics Assistant", layout="wide")
+st.title("💄 Makeup & Cosmetics Assistant")
+st.write("Ask anything about makeup brands, beauty tips, and skincare!")
+
+# User input
+user_query = st.text_input("Enter your question:", "")
+
+if st.button("Ask"):
+    if user_query.strip():
+        with st.spinner("Fetching response..."):
+            # Query the DeepSeek model
+            completion = client.chat.completions.create(
+                model="deepseek-r1-distill-qwen-32b",
+                messages=[{"role": "user", "content": user_query}],
+                temperature=0.6,
+                max_completion_tokens=4096,
+                top_p=0.95,
+                stream=True,
+                stop=None,
+            )
+
+            # Display response
+            response_text = ""
+            for chunk in completion:
+                response_text += chunk.choices[0].delta.content or ""
+
+            st.write("**💡 Answer:**")
+            st.write(response_text)
+    else:
+        st.warning("Please enter a valid question related to makeup and cosmetics!")
+
+# Footer
+st.markdown("---")
+st.markdown("🔹 **Powered by DeepSeek-R1-Distill-Qwen-32B & Groq API**")