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# !pip install | |
from pyChatGPT import ChatGPT | |
import os | |
# refresh the authorization token | |
def chat_hf(text,session_tokenz): | |
try: | |
# Save the session_token variable to the system environment | |
# os.environ['SESSION_TOKEN'] = session_token | |
# Load the saved session_token value from the system environment | |
loaded_session_token = os.environ['SESSION_TOKEN'] | |
api = ChatGPT(session_token) | |
resp = api.send_message(text) | |
api.refresh_auth() # refresh the authorization token | |
api.reset_conversation() # reset the conversation | |
xyz = resp['message'] | |
except: | |
api = ChatGPT(session_tokenz) | |
resp = api.send_message(text) | |
api.refresh_auth() # refresh the authorization token | |
api.reset_conversation() # reset the conversation | |
xyz = resp['message'] | |
return xyz | |
#@title GRadio for SDK api | |
import gradio as gr | |
gr.Interface( | |
chat_hf, | |
[gr.Textbox(label = ' Input custom for ChatGPT'), | |
gr.Textbox(label = ' If it fails enter cusom session ')], | |
outputs = gr.outputs.Textbox(type="text",label="chatGPT response") | |
, title = "" +' ChatGpt π€π¬π» on hugginface. '+ "", | |
description="ChatGPT π€π¬π» is a conversational AI app that allows users to engage in natural language conversations with a virtual assistant. The app uses advanced machine learning algorithms to understand and respond to user queries in a human-like manner. With its ability to answer follow-up questions, admit mistakes, and reject inappropriate requests, ChatGPT offers a highly interactive and engaging experience. Try ChatGPT now and experience the power of language modeling in dialogue built with β€οΈ @[Xhaheen](https://www.linkedin.com/in/sallu-mandya/) \n\nIf it fails enter cusom session key see video for reference refer @[Bhavesh bhat video](https://youtu.be/TdNSj_qgdFk)").launch(debug = True) |