diff --git a/chat.py b/chat.py
index a3f9c20..45d618d 100644
--- a/chat.py
+++ b/chat.py
@@ -24,6 +24,7 @@ AI_MODEL_OPTIONS = [
     "gpt-3.5-turbo",
     "gpt-4",
     "gpt-4-32k",
+    "bard",
 ]
 
 st.set_page_config(page_title=PAGE_TITLE, page_icon=PAGE_ICON)
@@ -55,7 +56,7 @@ if "user_text" not in st.session_state:
 
 def main() -> None:
     if st.session_state.user_text:
-        show_conversation(st.session_state.user_text, st.session_state.model, st.session_state.role)
+        show_conversation()
         st.session_state.user_text = ""
 
     c1, c2, c3 = st.columns(3)
diff --git a/requirements.txt b/requirements.txt
index 45aa4bf..22325e1 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,3 +5,4 @@ openai==0.27.2
 gtts==2.3.1
 pip==23.0.1
 watchdog==3.0.0
+prompt_toolkit==3.0.38
diff --git a/src/utils/agi/bard.py b/src/utils/agi/bard.py
new file mode 100644
index 0000000..c65bbe4
--- /dev/null
+++ b/src/utils/agi/bard.py
@@ -0,0 +1,176 @@
+"""
+Reverse engineering of Google Bard from https://github.com/discordtehe/Bard
+"""
+import argparse
+import json
+import random
+import re
+import string
+
+import requests
+from prompt_toolkit import PromptSession, prompt
+from prompt_toolkit.auto_suggest import AutoSuggestFromHistory
+from prompt_toolkit.completion import WordCompleter
+from prompt_toolkit.history import InMemoryHistory
+from prompt_toolkit.key_binding import KeyBindings
+from rich.console import Console
+from rich.markdown import Markdown
+
+US_AG = "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36"
+
+
+def __create_session() -> PromptSession:
+    return PromptSession(history=InMemoryHistory())
+
+
+def __create_completer(commands: list, pattern_str: str = "$") -> WordCompleter:
+    return WordCompleter(words=commands, pattern=re.compile(pattern_str))
+
+
+def __get_input(
+    session: PromptSession = None,
+    completer: WordCompleter = None,
+    key_bindings: KeyBindings = None,
+) -> str:
+    """
+    Multiline input function.
+    """
+    return (
+        session.prompt(
+            completer=completer,
+            multiline=True,
+            auto_suggest=AutoSuggestFromHistory(),
+            key_bindings=key_bindings,
+        )
+        if session
+        else prompt(multiline=True)
+    )
+
+
+class Chatbot:
+    """
+    A class to interact with Google Bard.
+    Parameters
+        session_id: str
+            The __Secure-1PSID cookie.
+    """
+
+    __slots__ = [
+        "headers",
+        "_reqid",
+        "SNlM0e",
+        "conversation_id",
+        "response_id",
+        "choice_id",
+        "session",
+    ]
+
+    def __init__(self, session_id):
+        headers = {
+            "Host": "bard.google.com",
+            "X-Same-Domain": "1",
+            "User-Agent": US_AG,
+            "Content-Type": "application/x-www-form-urlencoded;charset=UTF-8",
+            "Origin": "https://bard.google.com",
+            "Referer": "https://bard.google.com/",
+        }
+        self._reqid = int("".join(random.choices(string.digits, k=4)))
+        self.conversation_id = ""
+        self.response_id = ""
+        self.choice_id = ""
+        self.session = requests.Session()
+        self.session.headers = headers
+        self.session.cookies.set("__Secure-1PSID", session_id)
+        self.SNlM0e = self.__get_snlm0e()
+
+    def __get_snlm0e(self):
+        resp = self.session.get(url="https://bard.google.com/", timeout=10)
+        # Find "SNlM0e":"<ID>"
+        if resp.status_code != 200:
+            raise Exception("Could not get Google Bard")
+        SNlM0e = re.search(r"SNlM0e\":\"(.*?)\"", resp.text).group(1)
+        return SNlM0e
+
+    def ask(self, message: str) -> dict:
+        """
+        Send a message to Google Bard and return the response.
+        :param message: The message to send to Google Bard.
+        :return: A dict containing the response from Google Bard.
+        """
+        # url params
+        params = {
+            "bl": "boq_assistant-bard-web-server_20230326.21_p0",
+            "_reqid": str(self._reqid),
+            "rt": "c",
+        }
+
+        # message arr -> data["f.req"]. Message is double json stringified
+        message_struct = [
+            [message],
+            None,
+            [self.conversation_id, self.response_id, self.choice_id],
+        ]
+        data = {
+            "f.req": json.dumps([None, json.dumps(message_struct)]),
+            "at": self.SNlM0e,
+        }
+
+        # do the request!
+        resp = self.session.post(
+            "https://bard.google.com/u/1/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate",
+            params=params,
+            data=data,
+            timeout=120,
+        )
+
+        chat_data = json.loads(resp.content.splitlines()[3])[0][2]
+        if not chat_data:
+            return {"content": f"Google Bard encountered an error: {resp.content}."}
+        json_chat_data = json.loads(chat_data)
+        results = {
+            "content": json_chat_data[0][0],
+            "conversation_id": json_chat_data[1][0],
+            "response_id": json_chat_data[1][1],
+            "factualityQueries": json_chat_data[3],
+            "textQuery": json_chat_data[2][0] if json_chat_data[2] is not None else "",
+            "choices": [{"id": i[0], "content": i[1]} for i in json_chat_data[4]],
+        }
+        self.conversation_id = results["conversation_id"]
+        self.response_id = results["response_id"]
+        self.choice_id = results["choices"][0]["id"]
+        self._reqid += 100000
+        return results
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--session",
+        help="__Secure-1PSID cookie.",
+        type=str,
+        required=True,
+    )
+    args = parser.parse_args()
+
+    chatbot = Chatbot(args.session)
+    prompt_session = __create_session()
+    completions = __create_completer(["!exit", "!reset"])
+    console = Console()
+    try:
+        while True:
+            console.print("You:")
+            user_prompt = __get_input(session=prompt_session, completer=completions)
+            console.print()
+            if user_prompt == "!exit":
+                break
+            elif user_prompt == "!reset":
+                chatbot.conversation_id = ""
+                chatbot.response_id = ""
+                chatbot.choice_id = ""
+                continue
+            print("Bard:")
+            response = chatbot.ask(user_prompt)
+            console.print(Markdown(response["content"]))
+            print()
+    except KeyboardInterrupt:
+        print("Exiting...")
diff --git a/src/utils/agi/chat_gpt.py b/src/utils/agi/chat_gpt.py
index 85545bd..0fab322 100644
--- a/src/utils/agi/chat_gpt.py
+++ b/src/utils/agi/chat_gpt.py
@@ -6,7 +6,7 @@ import streamlit as st
 
 
 @st.cache_data()
-def send_ai_request(ai_model: str, messages: List[dict]) -> dict:
+def chat_gpt_request(ai_model: str, messages: List[dict]) -> dict:
     openai.api_key = st.secrets.api_credentials.api_key
     logging.warning("messages:")
     logging.warning(messages)
diff --git a/src/utils/conversation.py b/src/utils/conversation.py
index b1c6130..d46e01e 100644
--- a/src/utils/conversation.py
+++ b/src/utils/conversation.py
@@ -2,7 +2,8 @@ import streamlit as st
 from openai.error import InvalidRequestError, OpenAIError
 from streamlit_chat import message
 
-from src.utils.agi.chat_gpt import send_ai_request
+from src.utils.agi.bard import Chatbot
+from src.utils.agi.chat_gpt import chat_gpt_request
 from src.utils.tts import show_player
 
 
@@ -42,20 +43,13 @@ def show_chat(ai_content: str, user_text: str) -> None:
             st.markdown(st.session_state.generated[i])
 
 
-def show_conversation(user_content: str, model: str, role: str) -> None:
-    if st.session_state.messages:
-        st.session_state.messages.append({"role": "user", "content": user_content})
-    else:
-        st.session_state.messages = [
-            {"role": "system", "content": f"{st.session_state.locale.ai_role_prefix} {role}."},
-            {"role": "user", "content": user_content},
-        ]
+def chat_gpt_conversation() -> None:
     try:
-        completion = send_ai_request(model, st.session_state.messages)
+        completion = chat_gpt_request(st.session_state.model, st.session_state.messages)
         ai_content = completion.get("choices")[0].get("message").get("content")
         st.session_state.messages.append({"role": "assistant", "content": ai_content})
         if ai_content:
-            show_chat(ai_content, user_content)
+            show_chat(ai_content, st.session_state.user_text)
             st.markdown("---")
             show_player(ai_content)
     except InvalidRequestError as err:
@@ -63,8 +57,28 @@ def show_conversation(user_content: str, model: str, role: str) -> None:
             st.session_state.messages.pop(1)
             if len(st.session_state.messages) == 1:
                 st.session_state.user_text = ""
-            show_conversation(st.session_state.user_text, st.session_state.model, st.session_state.role)
+            show_conversation()
         else:
             st.error(err)
     except (OpenAIError, UnboundLocalError) as err:
         st.error(err)
+
+
+def bard_conversation() -> None:
+    bard = Chatbot(st.secrets.api_credentials.bard_session)
+    ai_content = bard.ask(st.session_state.user_text)
+    st.warning(ai_content)
+
+
+def show_conversation() -> None:
+    if st.session_state.messages:
+        st.session_state.messages.append({"role": "user", "content": st.session_state.user_text})
+    else:
+        st.session_state.messages = [
+            {"role": "system", "content": f"{st.session_state.locale.ai_role_prefix} {st.session_state.role}."},
+            {"role": "user", "content": st.session_state.user_text},
+        ]
+    if st.session_state.model == "bard":
+        bard_conversation()
+    else:
+        chat_gpt_conversation()