import streamlit as st from library_summarizer import llm_lib_summarizer_v1 from command_generator import llm_lib_installer_v1 st.title("📂 LLM Python Package Installer") 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) with open('libraries.txt','r') as f: libraries = f.read() if st.button("Generate pip command"): if imported_libraries: library = imported_libraries 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 the libraries you imported in the colab notebook.")