File size: 1,944 Bytes
b8ef5a5 879b3b3 fe634be 879b3b3 ba50c04 879b3b3 fe634be 879b3b3 b8ef5a5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | import streamlit as st
from library_summarizer import llm_lib_summarizer_v1
from command_generator import llm_lib_installer_v1
st.title("📂 Compatible Library Version Generator")
imported_libraries = st.text_area("Enter the libraries you are importing in your ipynb file:", height=200)
api_key = st.text_input("Enter your Groq API Key:", type="password")
task = st.text_input("Enter the task you are working on (e.g., data analysis, machine learning):", value="Basic ML task")
python_version = st.selectbox("Select your Python version:", options=["3.7", "3.8", "3.9", "3.10", "3.11","3.12"], index=3)
# File uploader widget
uploaded_file = st.file_uploader("Choose a file", type=["txt"])
if uploaded_file is not None:
st.success(f"File uploaded: {uploaded_file.name}")
# Read the file (decode for text files)
libraries = uploaded_file.read().decode("utf-8")
if st.button("Generate pip command"):
if imported_libraries and uploaded_file:
library = imported_libraries
libraries = uploaded_file.read().decode("utf-8")
with st.spinner("Summarizing imported libraries"):
try:
summary = llm_lib_summarizer_v1(import_string=library, api_key=api_key)
st.subheader("Summary of Libraries:")
st.code(summary)
except Exception as e:
st.error(f"An error occurred: {e}")
with st.spinner("Generating ideal pip install command..."):
try:
st.subheader(f"Generated pip install command for python version {python_version}")
command = llm_lib_installer_v1(imported_libs=summary, python_version=python_version, task=task, api_key=api_key, libraries=libraries)
st.markdown(command)
except Exception as e:
st.error(f"An error occurred: {e}")
else:
st.error("Please enter text or upload a file.")
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