Update app.py

app.py

@@ -1,22 +1,20 @@
 import os
+import logging
 import streamlit as st
-from langchain import HuggingFaceHub, LLMChain
 from git import Repo
+from langchain import HuggingFaceHub, LLMChain
 
-# Run pip freeze and pip install -r requirements.txt
-os.system("pip freeze > requirements.txt")
-os.system("pip install -r requirements.txt")
-
+# Set page configuration
 st.set_page_config(layout="wide", initial_sidebar_state="auto", theme="dark")
-st.title("Hugging Face Space Demo")
 
+# Collect user inputs
 repository_url = st.text_input("Enter GitHub repository URL:", "")
 access_token = st.text_input("Enter GitHub access token (optional):", "")
 debug_logging = st.checkbox("Enable debug logging")
 
+# Run the process
 if st.button("Run"):
     if debug_logging:
-        import logging
         logging.basicConfig(filename='log.txt', level=logging.DEBUG, format='%(asctime)s %(message)s')
         logging.debug('Starting the process')
 
@@ -29,7 +27,7 @@ if st.button("Run"):
     hub_llm = HuggingFaceHub(repo_id='google/flan-t5-xl', model_kwargs={'temperature': 1e-10})
 
     # Create a prompt template and LLM chain
-    prompt = "What is the main purpose of the repository at {}?".format(repository_url)
+    prompt = f"What is the main purpose of the repository at {repository_url}?"
     llm_chain = LLMChain(prompt=prompt, llm=hub_llm)
 
     # Get the result
@@ -38,3 +36,7 @@ if st.button("Run"):
 
     if debug_logging:
         logging.debug('Finished the process')
+
+# Run pip freeze and pip install -r requirements.txt
+os.system("pip freeze > requirements.txt")
+os.system("pip install -r requirements.txt")