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import os
import uuid
from pathlib import Path
from typing import Dict, List, Tuple
import gradio as gr
import requests
from chat import ChatGpt
# Environment Variables
DEBUG = bool(os.getenv("DEBUG", False))
VERBOSE = bool(os.getenv("V", False))
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
BING_TRANSLATE_API_KEY = os.getenv("BING_TRANSLATE_API_KEY")
# Type Definitions
ROLE_USER = "user"
ROLE_ASSISTANT = "assistant"
CHATGPT_MSG = Dict[str, str] # {"role": "user|assistant", "content": "text"}
CHATGPT_HISTROY = List[CHATGPT_MSG]
CHATBOT_MSG = Tuple[str, str] # (user_message, bot_response)
CHATBOT_HISTORY = List[CHATBOT_MSG]
# Constants
LANG_BO = "bo"
LANG_MEDIUM = "en"
chatbot = ChatGpt(OPENAI_API_KEY)
def bing_translate(text: str, from_lang: str, to_lang: str):
if DEBUG:
if from_lang != "bo":
return "ཀཀཀཀཀཀ"
return "aaaaa"
headers = {
"Ocp-Apim-Subscription-Key": BING_TRANSLATE_API_KEY,
"Content-Type": "application/json",
"Ocp-Apim-Subscription-Region": "australiaeast",
"X-ClientTraceId": str(uuid.uuid4()),
}
resp = requests.post(
url="https://api.cognitive.microsofttranslator.com/translate",
params={"api-version": "3.0", "from": from_lang, "to": to_lang},
json=[{"text": text}],
headers=headers,
)
result = resp.json()
if resp.status_code == 200:
return result[0]["translations"][0]["text"]
else:
raise Exception("Error in translation API: ", result)
def user(input_bo: str, history_bo: list):
history_bo.append([input_bo, None])
return "", history_bo
def bot(history_bo: list, chat_id: str):
"""Translate user input to English, send to OpenAI, translate response to Tibetan, and return to user.
Args:
input_bo (str): Tibetan input from user
history_bo (CHATBOT_HISTORY): Tibetan history of gradio chatbot
history_en (CHATGPT_HISTORY): English history of OpenAI ChatGPT
Returns:
history_bo (CHATBOT_HISTORY): Tibetan history of gradio chatbot
history_en (CHATGPT_HISTORY): English history of OpenAI ChatGPT
"""
input_bo = history_bo[-1][0]
input_ = bing_translate(input_bo, LANG_BO, LANG_MEDIUM)
response = chatbot.generate_response(input_)
resopnse_bo = bing_translate(response, LANG_MEDIUM, LANG_BO)
history_bo[-1][1] = resopnse_bo
if VERBOSE:
print("------------------------")
print(history_bo)
print(history_en)
print("------------------------")
return history_bo
def get_chat_id():
chatbot.clear_history()
return str(uuid.uuid4())
css_fn = Path(__file__).resolve().parent / "static" / "app.css"
assert css_fn.exists() and css_fn.is_file(), f"CSS file not found: {css_fn}"
with gr.Blocks(css=str(css_fn), theme=gr.themes.Soft()) as demo:
chat_id = gr.State(value=get_chat_id)
history_en = gr.State(value=[])
history_bo = gr.Chatbot(label="Dhumra AI Chatbot", elem_id="maiChatHistory")
input_bo = gr.Textbox(
show_label=False,
placeholder="Type here...",
elem_id="maiChatInput",
)
input_submit_btn = gr.Button("Submit")
input_bo.submit(
fn=user,
inputs=[input_bo, history_bo],
outputs=[input_bo, history_bo],
queue=False,
).then(
fn=bot,
inputs=[history_bo, chat_id],
outputs=[history_bo],
)
input_submit_btn.click(
fn=user,
inputs=[input_bo, history_bo],
outputs=[input_bo, history_bo],
queue=False,
).then(
fn=bot,
inputs=[history_bo, chat_id],
outputs=[history_bo],
)
clear = gr.Button("Clear")
clear.click(lambda: [], None, history_bo, queue=False)
demo.launch()
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