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| 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() | |