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Update app.py
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app.py
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import streamlit as st
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st.
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import streamlit as st
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from resource import *
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from proper_main import *
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from resource import llm_chain
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import time
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def main():
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st.title("Github Automated Repo Analysis")
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# User input
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user_url = st.text_input("Enter the Github URL")
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option = st.radio("What you want me to do",["Python Analysis","GPT Evaluation"])
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# Generate response
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if st.button("Submit"):
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st.text("Please wait Automation is Processing")
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strttime=time.time()
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repos, status = web_scrape(user_url,st)
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#task_progress = st.progress(0)
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#task_progress.progress("Tools is taking action please wait")
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if status == 0:
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repo_path = data_cloning(repos,st)
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data_cleaning(repo_path,st)
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query,report_analysis = analyse(st)
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if len(query) == 0:
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st.write("The given User's URL doesnt Contain Python Repository")
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if option == "Python Analysis":
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repo_name,score=self_analysis(report_analysis)
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output="The Complex Repo is "+ str(repo_name)+" Because the Complexity Score is "+str(score)
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#st.write("The Complex Repo is",repo_name," Because the Complexity Score is",score)
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st.text_area("Bot Response:", value=output, height=100)
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time.sleep(15)
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elif option == "GPT Evaluation":
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response_gpt = llm_chain([str(query)])
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# Display the response
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st.text_area("Bot Response:", value=response_gpt['text'], height=100)
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elapsed_time = time.time() - strttime
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st.text(f"Execution time: {elapsed_time:.2f} seconds")
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else:
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output = st.empty()
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output.error(f"Error occurred. Please contact the admin {repos}.")
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time.sleep(5)
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if __name__ == "__main__":
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main()
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