Spaces:
Runtime error
Runtime error
File size: 1,335 Bytes
aa6883f ad27618 bfc8030 67af7f1 bfc8030 faea98c 67af7f1 100a421 bfc8030 67af7f1 a49c2de ad27618 d2a8971 a49c2de d2a8971 a49c2de ad27618 d2a8971 ad27618 a49c2de b114ef5 ad27618 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
import gradio as gr
"""class ChatWrapper:
def __call__(
self, inp: str, history: str, chain
):
Execute the chat functionality.
output = chain({"question": inp, "chat_history": history})["answer"]
history.append((inp, output))
return history, history
chat = ChatWrapper()"""
chatbot = gr.Chatbot()
block = gr.Blocks(css=".gradio-container {background-color: lightblue}")
with block:
with gr.Row():
label = None
disclaimer = gr.Textbox(
"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."
)
with gr.Row():
message = gr.Textbox(
label="What would you like to talk about?",
)
submit = gr.Button(value="Send", variant="secondary").style(full_width=False)
gr.Examples(
examples=[
"I'm having problems at home",
"I am jumpy when I hear a loud noise and I feel scared all the time",
],
inputs=message,
)
gr.HTML("Omdena AI Chatbot For Mental Health and Well Being")
# submit.click(chat, inputs=[message], outputs=[chatbot])
block.launch(debug=True) |