Spaces:
Build error
Build error
File size: 1,856 Bytes
dbfcd07 fb25cb2 dbfcd07 fb25cb2 dbfcd07 fb25cb2 dbfcd07 fb25cb2 dbfcd07 fb25cb2 dbfcd07 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
import streamlit as st
from resource import *
from proper_main import *
from resource import llm_chain
import time
def main():
st.title("Github Automated Repo Analysis")
# User input
user_url = st.text_input("Enter the Github URL")
option = st.radio("What you want me to do",["Python Analysis","GPT Evaluation"])
# Generate response
if st.button("Submit"):
st.text("Please wait Automation is Processing")
strttime=time.time()
repos, status = web_scrape(user_url,st)
#task_progress = st.progress(0)
#task_progress.progress("Tools is taking action please wait")
if status == 0:
repo_path = data_cloning(repos,st)
data_cleaning(repo_path,st)
query,report_analysis = analyse(st)
if len(query) == 0:
st.write("The given User's URL doesnt Contain Python Repository")
if option == "Python Analysis":
repo_name,score=self_analysis(report_analysis)
output="The Complex Repo is "+ str(repo_name)+" Because the Complexity Score is "+str(score)
#st.write("The Complex Repo is",repo_name," Because the Complexity Score is",score)
st.text_area("Bot Response:", value=output, height=100)
time.sleep(15)
elif option == "GPT Evaluation":
response_gpt = llm_chain([str(query)])
# Display the response
st.text_area("Bot Response:", value=response_gpt['text'], height=100)
elapsed_time = time.time() - strttime
st.text(f"Execution time: {elapsed_time:.2f} seconds")
else:
output = st.empty()
output.error(f"Error occurred. Please contact the admin {repos}.")
time.sleep(5)
if __name__ == "__main__":
main()
|