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| import streamlit as st | |
| from streamlit_chat import message | |
| import requests | |
| st.set_page_config(layout="wide") | |
| API_URL = "https://medicalexpertapi.azure-api.net/diagnose/" | |
| headers = {"Content-Type": "application/json", "Ocp-Apim-Subscription-Key":st.secrets["APIKEY"]} | |
| def query(payload): | |
| response = requests.post(API_URL, headers=headers, json=payload) | |
| return response.json() | |
| def generate_response(user,prompt): | |
| output = query({"id":user, "messages":[{"role":user, "content": prompt}]}) | |
| return output | |
| #Creating the chatbot interface | |
| st.title("AI Clinical Expert") | |
| st.caption("The AI Clinical Expert is a clinical triaging tool designed to ask questions that help assist a clinical diagnosis.") | |
| st.caption("To use the system, talk naturally with it about symptoms of a specific disease or just see where you go. To get clinical symptoms try googling a diseases symptoms. Once you have answered a number of questions between 3 – 5 type 'done' and send it to have the system diagnose your condition. This can take up to 60 seconds due to the high cognitive load on this operation.") | |
| st.caption("This system is purely for scientific inquiry and should not be used for diagnosing or treating health problems, or for prescribing any medication or other treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read or interpreted from the software.") | |
| st.caption("Developed and maintained by [email protected]") | |
| col1, col2 = st.columns(2) | |
| # Storing the chat | |
| if 'generated' not in st.session_state: | |
| st.session_state['generated'] = [] | |
| if 'past' not in st.session_state: | |
| st.session_state['past'] = [] | |
| with col1: | |
| with st.form(key='my_form'): | |
| User = st.text_input("What's your name?","", key="user") | |
| input_text = st.text_input("Tell us how you're feeling","", key="input") | |
| submit_button = st.form_submit_button(label='Submit') | |
| if submit_button: | |
| output = generate_response(User,input_text) | |
| # store the output | |
| st.session_state.past.append(input_text) | |
| st.session_state.generated.append(output['res']) | |
| # Layout the columns | |
| #button = st.button("Completed", key=None, help="Use this button when you have finished describing your symptoms", on_click=None, args=None) | |
| if st.session_state['generated']: | |
| for i in range(len(st.session_state['generated'])-1, -1, -1): | |
| with col2: | |
| message(st.session_state["generated"][i], key=str(i),avatar_style="identicon",seed="Socks") | |
| message(st.session_state['past'][i], is_user=True, key=str(i) + '_user',avatar_style="identicon",seed="Mittens") | |