Upload base-app.py

base-app.py

@@ -0,0 +1,36 @@
+import streamlit as st
+
+# App title
+st.set_page_config(page_title="Herbal-Expert")
+
+
+# Store LLM generated responses
+if "messages" not in st.session_state.keys():
+    st.session_state.messages = [{"role": "assistant", "content": "How may I help you?"}]
+
+# Display chat messages
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.write(message["content"])
+
+
+# Function for generating LLM response
+def generate_response(prompt_input):
+    print("someone's here")
+    return "hello world"
+
+
+# User-provided prompt
+if prompt := st.chat_input():
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.write(prompt)
+
+# Generate a new response if last message is not from assistant
+if st.session_state.messages[-1]["role"] != "assistant":
+    with st.chat_message("assistant"):
+        with st.spinner("Thinking..."):
+            response = generate_response(prompt)
+            st.write(response)
+    message = {"role": "assistant", "content": response}
+    st.session_state.messages.append(message)