Delete src/app (3).py

src/app (3).py

@@ -1,36 +0,0 @@
-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)
-
-# 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)
-    
-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.")
-