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.gitignore

@@ -0,0 +1,2 @@
+private
+.DS_Store

app.py

@@ -9,10 +9,6 @@ logging.set_verbosity_error()
 chatbot = pipeline(task="conversational",
                    model="./models/google/gemma-2b-it")
 
-# company_name = "AXA Partners"
-# sector = "Insurance"
-# job_position = "Tech Conversational AI Lead"
-
 def get_job_description(company_name, sector, job_position):
     start_time = datetime.now()
 
@@ -45,13 +41,11 @@ def get_job_description(company_name, sector, job_position):
 
     return response, delta_time
 
-# response = chatbot_query("AXA Partners", "Insurance", "Tech Conversational AI Lead")
-# print("\n", response)
-
 with gr.Blocks() as demo:
     gr.Markdown(
     """
-    # Job Descriptions generator
+    # Job Description generator
+    ### This SLM demo uses ['google/gemma-2b-it'](https://huggingface.co/google/gemma-2b-it)
     """)
 
     interface = gr.Interface(