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app.py
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app.py
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import streamlit as st
import pandas as pd
import openai
import os
st.set_page_config(layout="wide",page_title="GPT Tabular Clinical Webapp")
openai.api_key = os.getenv('OPENAI_KEY')
# Define function to generate key points using GPT-3
def generate_key_points(data):
key_points = []
for row in data.itertuples():
text = str(row[1])
prompt = "Please summarize the following text in a few key points with numbering:\n" + text
response = openai.Completion.create(
engine="davinci",
prompt=prompt,
temperature=0.5,
max_tokens=100,
n=1,
stop=None,
timeout=30,
)
summary = response.choices[0].text.strip()
key_points.append(summary)
return key_points
def main():
st.title('Tabular Data Key Points Generator')
# Get input data from user
uploaded_file = st.file_uploader("Upload a CSV file", type="csv")
if uploaded_file is not None:
data = pd.read_csv(uploaded_file)
# Generate key points
key_points = generate_key_points(data)
# Show key points
st.subheader('Key Points')
st.write(key_points)
if __name__ == '__main__':
main()