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README.md

@@ -1,6 +1,6 @@
 ---
 title: Question-Answering System
-emoji: 🏆
+emoji: ❔
 colorFrom: purple
 colorTo: purple
 sdk: streamlit

app.py

@@ -3,36 +3,20 @@ import streamlit as st
 
 
 st.markdown('''
-Hey there, I wrote a book titled "**:green[Hands-On Retrieval-Augmented Generation]**," which includes this example application. If you\'re interested in exploring more practical applications of Retrieval-Augmented Generation, be sure to [check it out](https://herczeg.be)!
-
-[Go to start](https://huggingface.co/spaces/jeroenherczeg/HORAG-LLM) - [Previous](#) - [Next](#) - [Read the book](https://herczeg.be)
+Hey there, I wrote a book titled "**:purple[Hands-On Retrieval-Augmented Generation]**," which includes this interactive example. If you\'re interested in exploring more practical applications of Retrieval-Augmented Generation, be sure to [check it out](https://retrieval-augmented-generation.com)!
 ''')
 
-st.header('LLM', divider='rainbow')
+st.header('Question-Answering System', divider='rainbow')
 
 client = OpenAI(api_key=st.secrets["OPENAI_API_KEY"])
 
-if "openai_model" not in st.session_state:
-    st.session_state["openai_model"] = "gpt-3.5-turbo"
-
-if "messages" not in st.session_state:
-    st.session_state.messages = []
-
-for message in st.session_state.messages:
-    with st.chat_message(message["role"]):
-        st.markdown(message["content"])
-
-if prompt := st.chat_input("What is up?"):
-    st.session_state.messages = []
-    st.session_state.messages.append({"role": "user", "content": prompt})
-    with st.chat_message("user"):
-        st.markdown(prompt)
+text_search = st.text_input("Ask a question", value="")
 
-    with st.chat_message("assistant"):
-        stream = client.chat.completions.create(
-            model=st.session_state["openai_model"],
-            messages=[{"role": "user", "content": prompt}],
-            stream=True,
+if st.button("Ask"):
+    with st.spinner("Searching for an answer..."):
+        response = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": text_search}],
+            stream=False,
         )
-        response = st.write_stream(stream)
-    st.session_state.messages.append({"role": "assistant", "content": response})
+    st.write(response)