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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 Well Being</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?") | |
| with gr.Row(): | |
| submit = gr.Button(value="Send") | |
| clear = gr.Button(value="Clear Chat") | |
| """ gr.Examples( | |
| examples=[ | |
| "I feel lonely", | |
| "I'm having problems at home", | |
| "I am looking for some resources", | |
| ], | |
| inputs=message, | |
| ) | |
| """ | |
| def respond(message, chat_history): | |
| bot_message = ["How are you?"] | |
| chat_history.append((message, bot_message)) | |
| return "", chat_history | |
| message.click(respond, [message, chatbot]) | |
| clear.click(lambda: None, None, chatbot, queue=False) | |
| if __name__ == "__main__": | |
| demo.launch(debug=True) | |