Update app.py

app.py

@@ -49,7 +49,7 @@ containing atleast 10 columns along with their descriptions.''')
   
   schema_relations = model_response(f'''Based on the context: {py}, generate a knowledge graph represented using ASCII art. Also generate a brief description of the graph.
     Output:
-    Description of the graph listing all the relationships
+    Description of the graph listing all the relationships in markdown format
     ASCII version of the knowledge graph with nodes represented by tables and edges represented by the relationships. Edges should be annotated with the type of relationships identified - many-to-one, many-to-many, one-to-one, primary key, self joins, foreign keys etc''')
   yield dataset_description, py, schema_relations, None, None, None, None
   generated_glossary = model_response(f'''Based on the relationships identified: {schema_relations}
@@ -71,6 +71,7 @@ containing atleast 10 columns along with their descriptions.''')
   - Then output the relationships between the business terms as follows:
   term -> [related_term1, related_term2]
     Show the relationship between the glossary term and the column broken down by each table.
+    Ensure that the output is in markdown format
     ''')
   yield dataset_description, py, schema_relations, generated_glossary, None, None, None
   queries = generate_dataset_queries(dataset, generated_glossary, schema_relations)
@@ -105,7 +106,7 @@ iface = gr.Interface(
         live=False,
         theme = gr.themes.Ocean(),
         title="BQ knowledge engine ⚙️💡📊 (Simulator)",
-        description="Provide a dataset ID to generate LookML, schema relationships, glossary, and more, with live updates.", examples=['ncaa_basketball2', 'supply_chain_ashwins','thelook_ecommerce','CORTEX_SAP_CDC','dt_kg_demo','geo_openstreetmap','google_political_ads','noaa_historic_severe_storms','stackoverflow'],
+        description="Provide a dataset ID to generate LookML, schema relationships, glossary, and more...", examples=['ncaa_basketball2', 'thelook_ecommerce','geo_openstreetmap','google_political_ads','noaa_historic_severe_storms','stackoverflow'],
         article = "This is a simulator that provides a sneak-peek into how BQ knowledge engine works."
     )
 # Launch the app