| 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.") |
|
|
|
|
