finetune_skills

app.py

@@ -33,7 +33,7 @@ def call_endpoint(resume_preprocessed):
     return response_data
 
 
-def postprocess_vancy(vacancies, resume):
+def postprocess_vacancy(vacancies, resume):
     if "prediction" in vacancies:
         prediction = vacancies["prediction"]
         if isinstance(prediction, list):
@@ -75,10 +75,10 @@ def postprocess_vancy(vacancies, resume):
                     formatted_vacancy = vacancy.replace(".,", "<br/>")
                     formatted_vacancy = f"VACATURE {i + 1}:<br/>{formatted_vacancy}"
                     matches_html = "<br/> - ".join(matched_skills)
-                    macthes_formatted = (
+                    matches_formatted = (
                         f"Score: {len(matched_skills)}<br/>-{matches_html}"
                     )
-                    html_table += f"<tr><td>{formatted_vacancy}</td><td>{macthes_formatted}</td></tr>"
+                    html_table += f"<tr><td>{formatted_vacancy}</td><td>{matches_formatted}</td></tr>"
             html_table += "</table>"
             return html_table
 
@@ -89,7 +89,7 @@ def search(resume):
     original_resume = resume
     resume_preprocessed = preprocess_resume(llm, resume)
     vacancies = call_endpoint(resume_preprocessed)
-    vacancies_formatted = postprocess_vancy(vacancies, original_resume)
+    vacancies_formatted = postprocess_vacancy(vacancies, original_resume)
     return vacancies_formatted
 
 

prompts/matches.py

@@ -117,6 +117,10 @@ def get_skills_match(llm, vacancy, resume) -> SequentialChain:
       
       Both the vacancy and resume are delimited by three backticks. 
       Can you list any matches you find in both the vacancy and the resume. 
+      Take into the account the following rules about the matches:
+      - words with similar meaning should be counted as one and the same, for example 'magazijn' and 'magazijnier' should just be magazijn
+      - words that hold no significant meaning should not be listed, such as 'ervaring' on its own
+      - take into account the meaning of the matches and whether or not it is relevant
       
       Each match is constructed as the following JSON object:
     
@@ -145,4 +149,4 @@ def get_skills_match(llm, vacancy, resume) -> SequentialChain:
         ],
         verbose=False,
     )
-    return chain({"vacancy": vacancy, "resume": resume})
+    return chain({"vacancy": vacancy, "resume": resume})