add inference

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+from src.models.predict_model import *
+
+with st.sidebar:
+    st.write("# 🤖 Language Models")
+    "[![GitHub Repo](https://github.com/codespaces/badge.svg)](https://github.com/Foxxy-HCMUS/e2eqa)"
+
+st.title("💬 Question-Answering System")
+if "messages" not in st.session_state:
+    st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}]
+
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).write(msg["content"])
+
+if prompt := st.chat_input():
+
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    st.chat_message("user").write(prompt)
+    msg = {
+        "role": "assistant", 
+        "content": get_answer_e2e(prompt)
+    }
+    st.session_state.messages.append(msg)
+    st.chat_message("assistant").write(msg["content"])
+