d

app.py

@@ -36,7 +36,7 @@ def finalGradingPrompt(resume_summary, role, exp, ires):
         contain the start and end timestamps of the interviewee answering the questions within a 2-minute time constraint.
         Finally, the records contain a float value of the plagiarism score. We have set the threshold of 0.96 for an answer to be considered plagiarized.
         
-        The CSV records are as follows:
+        The CSV records are given as a pandas dataframe, which is as follows:
 
         {{ires}}
 
@@ -58,6 +58,6 @@ def get_shape(csv_file,resume_summary,role,experience):
     with open(csv_file.name, "r") as f:
       k=pd.read_csv(f)
       k.dropna()
-      l=finalGradingPrompt(resume_summary=resume_summary,role=role,exp=experience,ires=csv_file)
+      l=finalGradingPrompt(resume_summary=resume_summary,role=role,exp=experience,ires=k)
       return l
 gr.Interface(fn=get_shape, inputs=['file','text','text','text'], outputs='text').launch()