File size: 3,683 Bytes
6038be0 2cba708 56681c6 1eb41f7 56681c6 2cba708 56681c6 6743734 872c6a2 e5b0d64 b60058d 12b6845 6743734 2cba708 1eb41f7 56681c6 e5b0d64 56681c6 e5b0d64 2cba708 56681c6 56a9921 6743734 56681c6 1eb41f7 56681c6 6743734 12b6845 8348fe5 6743734 56681c6 2cba708 6743734 4fbaa37 6743734 2cba708 56681c6 6743734 8348fe5 56681c6 6743734 12b6845 56b843a 6743734 56b843a 6743734 8348fe5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
import streamlit as st
import json
import os
import requests
from bardapi import AsyncBard
# Load the GOOGLE_LANGUAGES_TO_CODES dictionary from lang.json
with open("lang.json", "r") as file:
GOOGLE_LANGUAGES_TO_CODES = json.load(file)
with st.sidebar:
# Add a selector in the sidebar using the dictionary's keys
selected_language_name = st.sidebar.selectbox("Select Language", list(GOOGLE_LANGUAGES_TO_CODES.keys()))
code_interpreter = st.sidebar.toggle("Code Interpreter", value=True)
system_prompt = st.sidebar.text_input("System prompt for code interpreter", value = " . Rule 1: If a user requests a code snippet, provide only one that can run in a Streamlit app without requiring additional libraries.")
useSystemPrompt = st.sidebar.toggle("Use System prompt", value=True)
exportToReplIt = st.sidebar.toggle("Export to repl.it", value=False)
showImages = st.sidebar.toggle("Show images", value=True)
# Retrieve the corresponding language code from the dictionary
selected_language_code = GOOGLE_LANGUAGES_TO_CODES[selected_language_name]
# Initialize Bard with the selected language code
bard = AsyncBard(token=os.getenv("_BARD_API_KEY"), language=selected_language_code)
TITLE = "Palm 2🌴 Chatbot"
DESCRIPTION = """
Welcome to the Palm 2🌴 Chatbot interface!
This app allows you to interact with the Palm 2🌴 Chatbot powered by the Bard API. You can:
- Select a language for the chatbot.
- Decide if you want the chatbot to interpret code.
- Use a system prompt to guide the chatbot's responses.
- Export code snippets to repl.it.
- Choose to display images in the chatbot's responses.
Simply type in your question or prompt in the chat input below and get a response from Palm 2🌴!
"""
# Streamlit UI
st.title(TITLE)
st.write(DESCRIPTION)
# Prediction function
async def predict(message):
with st.status("Requesting Palm-2🌴..."):
st.write("Requesting API...")
response = await bard.get_answer(message if not (code_interpreter and useSystemPrompt) else message + system_prompt)
st.write("Done...")
st.write("Checking images...")
if 'images' in response.keys() and showImages:
for i in response['images']:
st.image(i)
return response
# Display chat messages from history on app rerun
if "messages" not in st.session_state:
st.session_state.messages = []
for message in st.session_state.messages:
with st.chat_message(message["role"], avatar=("🧑💻" if message["role"] == 'human' else '🌴')):
st.markdown(message["content"])
# React to user input
if prompt := st.chat_input("Ask Palm 2 anything..."):
st.chat_message("human", avatar="🧑💻").markdown(prompt)
st.session_state.messages.append({"role": "human", "content": prompt})
response = predict(prompt)
with st.chat_message("assistant", avatar='🌴'):
st.markdown(response['content'])
if response['code']:
if exportToReplIt:
with st.status("Exporting replit..."):
fale = False
try:
url = bard.export_replit(code=response['code'],program_lang=response['program_lang'])['url']
except error:
fale=True
st.write('ERROR')
if not fale:
st.title('Export to repl.it')
st.markdown(f'[link]({url})')
if code_interpreter:
try:
exec(response['code'])
except Exception as e:
st.write(f"ERROR {e}...")
st.session_state.messages.append({"role": "assistant", "content": response['content']})
|