app.py

import streamlit as st
import json
import os
import requests
from bardapi import Bard

# Load the GOOGLE_LANGUAGES_TO_CODES dictionary from lang.json
with open("lang.json", "r") as file:
    GOOGLE_LANGUAGES_TO_CODES = json.load(file)


    # Add a selector in the sidebar using the dictionary's keys
    selected_language_name = "english"
    code_interpreter = True
    system_prompt = "Rule 1: If a user provides a code explain it line by line"
    useSystemPrompt = True
    exportToReplIt = False
    showImages = 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 = Bard(token=os.getenv("_BARD_API_KEY"), language=selected_language_code)

TITLE = "🦔 Ayush's Codebot"
DESCRIPTION = """
Welcome to my coding chatbot based on Google's Palm 2 ! paste any code you want an explanation for!

"""


# Streamlit UI
st.title(TITLE)
st.write(DESCRIPTION)

# Prediction function
def predict(message):
    with st.status("Requesting 🦔..."):
        st.write("Requesting API...")
        response = 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 🦔 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']:
        try:
          exec(response['code'])
        except Exception as e:
          st.write(f"End of explanation..")
            
    
    st.session_state.messages.append({"role": "assistant", "content": response['content']})