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# Import dependencies | |
import gradio as gr | |
"""import os | |
from llama_index import GPTVectorStoreIndex | |
from langchain.prompts.prompt import PromptTemplate | |
from langchain.llms import OpenAI | |
from langchain.chains import ChatVectorDBChain | |
from query_data import get_chain | |
from response import get_response""" | |
#_template = """Paraphrase the message and encourage to share more""" | |
#PARAPHRASE_MESSAGE_PROMPT= PromptTemplate.from_template(_template) | |
"""template = You are an AI psychotherapist. You are empathic and encourage humans to share. If asked for information, | |
provide it and then gently inquire if they want to talk about it. If you don't know the answer, just say | |
"Hmm, I'm not sure." Don't try to make up an answer. If the question is not about mental health or resources, | |
politely inform them that you are tuned to only answer questions about mental health and well being.""" | |
# Execute the chat functionality. | |
# output = chain({"message": inp, "chat_history": history})["response"] | |
# history.append((inp, output)) | |
# return history | |
with gr.Blocks(theme=gr.themes.Soft()) as demo: | |
gr.HTML("<center><h2>Omdena AI Chatbot For Mental Health and Wellbeing</h2></center>") | |
gr.HTML("WELCOME<br>" | |
"I am an AI ChatBot and I am here to assist you with whatever is bothering you. " | |
"Our conversation is strictly confidential and I will not remember it when you come back another time." | |
) | |
chatbot = gr.Chatbot() | |
message = gr.Textbox(label="What would you like to chat about?") | |
response = gr.Textbox | |
def respond(message, chat_history): | |
response = "Tell me more about that" | |
chat_history.append((message, response)) | |
return "", chat_history | |
with gr.Row(): | |
send = gr.Button(value="Send").style(full_width=False) | |
clear = gr.Button(value="Clear Chat").style(full_width=False) | |
gr.Examples( | |
examples=[ | |
"I feel lonely", | |
"I'm having problems at home", | |
"I am looking for some resources", | |
] | |
) | |
send.click(respond, [message, chatbot], [message, chatbot]) | |
clear.click(lambda: None, None, chatbot, queue=False) | |
if __name__ == "__main__": | |
demo.launch(debug=True) | |