Update app.py

app.py

@@ -33,11 +33,11 @@ for i in range(1, 51):  # Looping for 50 applicants
                     st.write(text_data)
 
                 # Encode the job description and resume text separately
-                job_embedding = model.encode(job_desc, text_data)
-                
+                job_embedding = model.encode([job_desc])
+                resume_embedding = model.encode([text_data])
 
                 # Calculate the cosine similarity between the two embeddings
-                similarity_score = model.similarity(job_embedding, job_embedding)[0][0]
+                similarity_score = model.similarity(job_embedding, resume_embedding)[0][0]
 
                 with st.popover(f"See Result for Applicant {i}"):
                     st.write(f"Similarity between Applicant's resume and job description based on keywords: {similarity_score:.2f}")