error handle commitw

app.py

@@ -9,6 +9,8 @@ def main():
 
     # User input
     user_url = st.text_input("Enter the Github URL")
+    
+    option = st.radio("What you want me to do",["Self Analysis","GPT Evaluation"])
 
     # Generate response
     if st.button("Submit"):
@@ -22,15 +24,21 @@ def main():
         if status == 0:
             repo_path = data_cloning(repos,st)
             data_cleaning(repo_path,st)
-            query = analyse(st)
+            query,report_analysis = analyse(st)
             if len(query) == 0:
             	st.write("The given User's URL doesnt Contain Python Repository")
             	st.experimental_rerun()
-            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")
+            if option == "Self Analysis":
+            	repo_name,score=self_analysis(report_analysis)
+            	st.write("The Complex Repo is",repo_name," Because the Complexity Score is",score)
+            	st.experimental_rerun()
+            	
+            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("Error occurred. Please contact the admin {e}.")

proper_main.py

@@ -97,6 +97,7 @@ def data_cleaning(directory,st):
 
 def analyse(st):
     project_and_grades = {}
+    report_analysis = {}
     st.text("Analysing...")
     if len(os.listdir(os.getcwd())) ==0:
     	st.text("Not a Valid Repo")
@@ -111,7 +112,7 @@ def analyse(st):
         index = res.decode().find("Average")
         if index <= 0:
             grade = "A"
-            score = 1
+            score = 0.5
         else:
             grade = res.decode()[index:]
             score = grade[23:-1]
@@ -120,9 +121,17 @@ def analyse(st):
             
 
         project_and_grades["Repo " + file] = "Grade " + grade + " Score " + str(score)
+        report_analysis["Repo " + file] = [float(score)]
     shutil.rmtree('/tmp/repos')
 
-    return project_and_grades
+    return project_and_grades,report_analysis
+    
+    
+    
+def self_analysis(report_analysis):
+	score= max(report_analysis.values())
+	repo = max(resport_analysis,key=report_analysis.get())
+	return repo,score