| import streamlit as st |
| from library_summarizer import llm_lib_summarizer_v1 |
| from command_generator import llm_lib_installer_v1 |
|
|
| st.title("📂 Compatible Library Summarizer") |
|
|
| 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) |
|
|
| |
| uploaded_file = st.file_uploader("Choose a file", type=["txt"]) |
|
|
| if uploaded_file is not None: |
| st.success(f"File uploaded: {uploaded_file.name}") |
|
|
| |
| |
| if st.button("Generate bash command"): |
| if imported_libraries and uploaded_file: |
| library = imported_libraries |
| libraries = uploaded_file.read().decode("utf-8") |
| with st.spinner("Generating ideal pip install command..."): |
| try: |
| summary = llm_lib_summarizer_v1(import_string=library, api_key=api_key) |
| st.subheader("Summary of Libraries:") |
| st.code(summary) |
| st.subheader("Generated pip install command:") |
| command = llm_lib_installer_v1(imported_libs=summary, python_version="3.10", task="general", 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.") |
|
|
|
|
