deepseek R1

app.py

@@ -3,52 +3,41 @@ import streamlit as st
 from huggingface_hub import InferenceClient
 from dotenv import load_dotenv
 
-# Load .env (if you’re using one)
 load_dotenv()
+client = InferenceClient(provider="auto", api_key=os.environ["HUGGINGFACEHUB_API_TOKEN"])
 
-# Instantiate once
-client = InferenceClient(
-    provider="auto",
-    api_key=os.environ["HUGGINGFACEHUB_API_TOKEN"]
-)
-
-# Page config
-st.set_page_config(page_title="Educational Chatbot", layout="wide")
+st.set_page_config(page_title="Educational Chatbot")
 st.title("🎓 Educational Chatbot")
 
-# Initialize history
 if "history" not in st.session_state:
     st.session_state.history = []
 
-# Render existing messages
-for sender, message in st.session_state.history:
-    if sender == "You":
-        st.chat_message("user").write(message)
-    else:
-        st.chat_message("assistant").write(message)
+# 1) Show existing chat
+for sender, msg in st.session_state.history:
+    role = "user" if sender == "You" else "assistant"
+    st.chat_message(role).write(msg)
 
-# Input box
+# 2) Ask for new input
 user_input = st.chat_input("Ask me anything…")
-
 if user_input:
-    # Display user message immediately
+    # a) echo user
     st.chat_message("user").write(user_input)
     st.session_state.history.append(("You", user_input))
 
-    # Bot placeholder
+    # b) typing indicator
     placeholder = st.chat_message("assistant")
     placeholder.write("⏳ Thinking...")
 
+    # c) get actual reply
     try:
-        # Call HF Inference API
         completion = client.chat.completions.create(
             model="deepseek-ai/DeepSeek-R1",
-            messages=[{"role": "user", "content": user_input}],
+            messages=[{"role":"user","content":user_input}],
         )
         reply = completion.choices[0].message["content"]
     except Exception as e:
         reply = f"❌ API Error: {e}"
 
-    # Update placeholder with real response
+    # d) replace placeholder with real answer
     placeholder.write(reply)
     st.session_state.history.append(("Bot", reply))