deepseek R1

.gitignore

@@ -0,0 +1 @@
+.env

app.py

@@ -3,27 +3,44 @@ import streamlit as st
 from huggingface_hub import InferenceClient
 from dotenv import load_dotenv
 
-# 1. Load .env (if using)
+# Load .env (if you’re using one)
 load_dotenv()
 
-# 2. Instantiate the InferenceClient once
+# Instantiate once
 client = InferenceClient(
     provider="auto",
     api_key=os.environ["HUGGINGFACEHUB_API_TOKEN"]
 )
 
-st.set_page_config(page_title="Educational Chatbot")
+# Page config
+st.set_page_config(page_title="Educational Chatbot", layout="wide")
 st.title("🎓 Educational Chatbot")
 
+# Initialize history
 if "history" not in st.session_state:
     st.session_state.history = []
 
-# 3. Chat input
-user_input = st.text_input("Ask me anything:")
+# 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)
+
+# Input box
+user_input = st.chat_input("Ask me anything…")
 
 if user_input:
+    # Display user message immediately
+    st.chat_message("user").write(user_input)
+    st.session_state.history.append(("You", user_input))
+
+    # Bot placeholder
+    placeholder = st.chat_message("assistant")
+    placeholder.write("⏳ Thinking...")
+
     try:
-        # 4. Make the chat-completion API call
+        # Call HF Inference API
         completion = client.chat.completions.create(
             model="deepseek-ai/DeepSeek-R1",
             messages=[{"role": "user", "content": user_input}],
@@ -32,10 +49,6 @@ if user_input:
     except Exception as e:
         reply = f"❌ API Error: {e}"
 
-    # 5. Append to session history
-    st.session_state.history.append(("You", user_input))
+    # Update placeholder with real response
+    placeholder.write(reply)
     st.session_state.history.append(("Bot", reply))
-
-# 6. Render chat history
-for sender, msg in reversed(st.session_state.history):
-    st.markdown(f"**{sender}:** {msg}")