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import os
import streamlit as st
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from langchain.llms import OpenAI
api_key = os.getenv("OPENAI_API_KEY")
llm = OpenAI(temperature=0.6, api_key=api_key)
prompt_template_name = PromptTemplate(
input_variables=['symptoms'],
template="What Diseases are associated with {symptoms}? Mention one disease only by its name."
)
prompt_template_coping_strategies = PromptTemplate(
input_variables=['response'],
template="What are coping strategies for dealing with {response}? Write 3 strategies only."
)
prompt_template_books = PromptTemplate(
input_variables=['disease'],
template="What are books one should read probably having {disease} to know more about? Write 3 books only."
)
chain_name = LLMChain(llm=llm, prompt=prompt_template_name)
chain_coping_strategies = LLMChain(llm=llm, prompt=prompt_template_coping_strategies)
chain_books = LLMChain(llm=llm, prompt=prompt_template_books)
def get_disease_and_strategies(symptoms):
disease_response = chain_name.run(symptoms)
disease = disease_response
coping_strategies_response = chain_coping_strategies.run(disease)
coping_strategies = coping_strategies_response
books_response = chain_books.run(disease)
books = books_response
return {
'Disease': disease,
'Coping Strategies': coping_strategies,
'Books': books
}
def main():
st.title("Mental Health Classifier and Dashboard Generator")
st.write("Enter your symptoms and get health information:")
user_input = st.text_input("Enter Symptoms:")
if st.button("Submit"):
if user_input.strip().lower() == 'exit':
st.write("Thank you for using the Health Chatbot. Goodbye!")
else:
output = get_disease_and_strategies(user_input)
response = f"Health Information:\n\nDisease: {output['Disease']}\n\nCoping Strategies: {output['Coping Strategies']}\n\nBooks: {output['Books']}"
st.write(response)
if __name__ == '__main__':
main()
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