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import os
import streamlit as st
import keyfile as kf
import langchain
from langchain.llms import OpenAI
from langchain import PromptTemplate, LLMChain
# Set up the Streamlit app
st.title("Patient Symptom Analyzer")
# Input field for OpenAI API Key
api_key = kf.OPENKEY
# Check if API key is provided
if api_key:
os.environ["OPENAI_API_KEY"] = api_key
# Initialize the OpenAI LLM
llm = OpenAI(temperature=0.7, max_tokens=1500)
# Input field for patient symptoms
symptoms = st.text_area("Enter the patient's symptoms:")
# Generate Report button
if st.button("Generate Report"):
if symptoms:
# Define the prompt template
prompt = PromptTemplate(
input_variables=["symptoms"],
template="""
Given the following patient symptoms: {symptoms},
provide general information including:
1. Common conditions associated with these symptoms (without making a diagnosis).
2. General advice on seeking professional medical help.
3. Preventive measures to maintain health.
Do not provide specific medical diagnoses or treatments. Emphasize the importance of consulting a healthcare professional for proper diagnosis and treatment.
"""
)
# Create the LLMChain with the prompt
chain = LLMChain(llm=llm, prompt=prompt)
# Generate the report
with st.spinner("Generating report..."):
try:
report = chain.run(symptoms)
st.success("Report generated successfully.")
st.write(report)
except Exception as e:
st.error(f"An error occurred: {e}")
else:
st.warning("Please enter the patient's symptoms.")
else:
st.warning("Please enter your OpenAI API Key.") |