CHATBOT_LLM / app.py
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Create app.py
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import spacy
import openai
import gradio as gr
# Loading the pre-trained English language model in spaCy
try:
nlp = spacy.load('en_core_web_sm')
except OSError:
spacy.cli.download('en_core_web_sm')
nlp = spacy.load('en_core_web_sm')
# Function to obtain word embeddings
def get_word_embeddings(sentence):
tokens = nlp(sentence)
embeddings = [token.vector for token in tokens]
return embeddings
# Function to get the chatbot response
def get_response(message):
openai.api_key = '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'
# Obtain word embeddings for the user message
embeddings = get_word_embeddings(message)
# Convert the embeddings to a string representation
embeddings_str = [str(embedding) for embedding in embeddings]
response = openai.ChatCompletion.create(
model='gpt-3.5-turbo-16k',
messages=[
{"role":"system", "content":"You are a polite, helpful postpartum care assistant who answers anything related to POSTPARTUM CARE, for other questions politely say you cannot answer, if you have any concern related then I can help."},
# {"role":"user","content": message},
# {"role":"assistant","content":""},
{"role": "user", "content": message + " "+ " ".join(embeddings_str) }
],
max_tokens=100,
temperature=0.9,
)
return response["choices"][0]["message"]["content"]
def chatbot_interface(input_text):
response = get_response(input_text)
return response
# code to create the Gradio app interface
iface = gr.Interface(
fn=chatbot_interface,
inputs="text",
outputs="text",
layout="vertical",
title="Postpartum Care Chatbot",
description="Ask any postpartum care-related questions!",
theme='HaleyCH/HaleyCH_Theme',
# inputs_layout="textarea",
# outputs_layout="textarea",
examples=[
["Hi, how can I take care of my newborn's skin?"],
["What is postpartum depression? What are the signs and symptoms?"],
["What activities are safe to do in the first few days? Which activities should I avoid?"],
['Are there certain foods or beverages I should avoid when breastfeeding?'],
["What should I do to prevent deep vein thrombosis?"],
['What should I do to help prevent post-delivery infections??']
],
)
# Start the Gradio app
if __name__ == "__main__":
print("Welcome to the Postpartum Care Chatbot!")
print("How can I assist you today??")
iface.launch()