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()