update exp prompt

app/app.py

@@ -32,8 +32,8 @@ def retrieve_documents(occupation,skills):
         target_occupation_name, target_occupation_dsp, target_occupation_query = build_occupation_query(target_occupation)
     for german_label in skills:
         skill_query += german_label + ' '
-    query = 'target occupation: ' + target_occupation_query + ' skills gap:' + skill_query
-    llama_query = 'info:' + target_occupation_name + ' ' + 'skills gap:' + skill_query
+    query = 'target occupation: ' + target_occupation_query + ' Skills gap:' + skill_query
+    llama_query = 'info:' + target_occupation_name + ' ' + 'Skills gap:' + skill_query
     print(query)
     docs = retriever.get_relevant_documents(query)
 
@@ -45,7 +45,7 @@ def retrieve_documents(occupation,skills):
     for doc in sorted_docs[:5]:
         doc_name = doc.metadata.get('name', 'Unnamed Document')
         doc_skill = doc.metadata.get('skills', '')
-        input_text = f"target occupation: {llama_query}\n courses: name: {doc_name}, learning objectives: {doc_skill[:2000]}"
+        input_text = f"target occupation: {llama_query}\n Recommended course: name: {doc_name}, learning objectives: {doc_skill[:2000]}"
         prompt = generate_prompt_exp(input_text)
         batch_prompts.append(prompt)
 

app/config.py

@@ -22,5 +22,5 @@ PERSIST_DIRECTORY = os.getenv('PERSIST_DIRECTORY', "/app/data/EduGBERT_cos_escoa
 CSV_FILE_PATH = os.getenv('CSV_FILE_PATH', '/app/data/occupations_de.csv')
 
 REC_LORA_MODEL = os.getenv('REC_LORA_MODEL', 'wt3639/Llama-3-8B-Instruct_CourseRec_lora')
-EXP_LORA_MODEL = os.getenv('EXP_LORA_MODEL', 'wt3639/alpaca_german_english')
+EXP_LORA_MODEL = os.getenv('EXP_LORA_MODEL', 'wt3639/Lllama-3-8B-instruct-exp-adapter')
 LLM_MODEL = os.getenv('LLM_MODEL', 'meta-llama/Meta-Llama-3-8B-Instruct')

app/embedding_setup.py

@@ -127,8 +127,8 @@ def evaluate(
 def compare_docs_with_context(doc_a, doc_b, target_occupation_name, target_occupation_dsp,skill_gap):
     
     #courses = f"First: name: {doc_a.metadata['name']}  description:{doc_a.metadata['description']} Second: name: {doc_b.metadata['name']}  description:{Sdoc_b.metadata['description']}" 
-    courses = f"First: name: {doc_a.metadata['name']}  learning outcomes:{doc_a.metadata['skills'][:2000]} Second: name: {doc_b.metadata['name']}  learning outcomes:{doc_b.metadata['skills'][:2000]}" 
-    target_occupation = f"name: {target_occupation_name} description: {target_occupation_dsp[:2000]}"
+    courses = f"First: name: {doc_a.metadata['name']}  learning outcomes:{doc_a.metadata['skills'][:1500]} Second: name: {doc_b.metadata['name']}  learning outcomes:{doc_b.metadata['skills'][:1500]}" 
+    target_occupation = f"name: {target_occupation_name} description: {target_occupation_dsp[:1500]}"
     skill_gap = skill_gap
     prompt = generate_prompt(target_occupation, skill_gap, courses)
     prompt = [prompt]