upate footer

.gitignore

@@ -3,3 +3,4 @@ myenv/
 models/
 tempCodeRunnerFile.py
 __pycache__/
+check.py

app.py

@@ -207,16 +207,19 @@ st.markdown("""
         left: 0;
         bottom: 0;
         width: 100%;
-        background-color: #333;
-        color: white;
+        background-color: #f0f8ff ;
+        color: #333;
         text-align: center;
-        padding: 10px 0;
+        
     }
     .social-icons a {
-        color: white;
+        color: #333;
         margin: 0 10px;
         font-size: 24px;
     }
+    .social-icons a>social-icons a:hover {
+        color: #4CAF50;
+    }
 </style>
 """, unsafe_allow_html=True)
 
@@ -229,7 +232,8 @@ st.title("🏥 Medicure RAG Chatbot")
 
 # Display welcome message
 st.write("Welcome to Medicure Chatbot! Ask any medical question and I'll do my best to help you.")
-st.write("#### Built with 🤗 Ctransformers, Langchain, and Pinecone. Powered by Metal-llama2-7b-chat quantized LLM")
+st.write("#### Built with 🤗 Ctransformers, Langchain, and Pinecone VectorDB. Powered by Metal-llama2-7b-chat quantized LLM")
+st.write("##### Resource Used 📖 : The Gale Encyclopedia of Medicine ")
 
 # Parameters section
 st.sidebar.header("Parameters")
@@ -268,22 +272,21 @@ qa = initialize_chatbot(k_value, max_new_tokens, temperature)
 user_input = st.text_input("Ask your question:")
 if st.button("Send", key="send"):
     if user_input:
-        # Create a placeholder for the progress bar
-        progress_placeholder = st.empty()
+        # Create a progress bar
+        progress_bar = st.progress(0)
+        
         
-        # Simulate progress with tqdm
         total_steps = 100
-        with tqdm(total=total_steps, file=progress_placeholder, desc="Thinking", bar_format='{l_bar}{bar}') as pbar:
-            for i in range(total_steps):
-                time.sleep(0.05)  # Adjust this value to control the speed of the progress bar
-                pbar.update(1)
+        for i in range(total_steps):
+            time.sleep(0.05)  
+            progress_bar.progress((i + 1) / total_steps)
         
         # Get the actual response
         result = qa({"query": user_input})
         response = result["result"]
         
         # Clear the progress bar
-        progress_placeholder.empty()
+        progress_bar.empty()
         
         st.session_state.chat_history.append(("You", user_input))
         st.session_state.chat_history.append(("Bot", response))