MilanM commited on
Commit
b19734c
·
verified ·
1 Parent(s): 39ab59e

Update visualizer_app.py

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Files changed (1) hide show
  1. visualizer_app.py +4 -8
visualizer_app.py CHANGED
@@ -144,12 +144,8 @@ def client_instantiation(
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  if project_client is not None:
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  task_credentials_details = setup_task_credentials(project_client)
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- elif deployment_client is not None:
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- task_credentials_details = setup_task_credentials(deployment_client)
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- elif project_client is not None and deployment_client is not None:
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- task_credentials_details = setup_task_credentials(project_client)
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  else:
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- task_credentials_details = None
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  else:
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  wx_credentials = None
@@ -440,7 +436,7 @@ def active_client(client_selector):
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  @app.cell
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  def emb_model_selection(client, set_embedding_model_list):
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- if client_instantiation_form.value and client is not None:
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  model_specs = client.foundation_models.get_embeddings_model_specs()
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  # model_specs = client.foundation_models.get_model_specs()
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  resources = model_specs["resources"]
@@ -517,7 +513,7 @@ def embedding_model():
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  @app.cell
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  def emb_model_parameters(emb_model_max_tk):
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  from ibm_watsonx_ai.metanames import EmbedTextParamsMetaNames as EmbedParams
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- if client is not None:
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  embed_params = {
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  EmbedParams.TRUNCATE_INPUT_TOKENS: emb_model_max_tk,
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  EmbedParams.RETURN_OPTIONS: {
@@ -554,7 +550,7 @@ def emb_model_setup(embedding_model):
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  @app.cell
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- def emb_model_instantiation(Embeddings, client, emb_model, embed_params):
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  from ibm_watsonx_ai.foundation_models import Embeddings
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  if client is not None:
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  embedding = Embeddings(
 
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  if project_client is not None:
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  task_credentials_details = setup_task_credentials(project_client)
 
 
 
 
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  else:
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+ task_credentials_details = setup_task_credentials(deployment_client)
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  else:
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  wx_credentials = None
 
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  @app.cell
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  def emb_model_selection(client, set_embedding_model_list):
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+ if client is not None:
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  model_specs = client.foundation_models.get_embeddings_model_specs()
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  # model_specs = client.foundation_models.get_model_specs()
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  resources = model_specs["resources"]
 
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  @app.cell
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  def emb_model_parameters(emb_model_max_tk):
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  from ibm_watsonx_ai.metanames import EmbedTextParamsMetaNames as EmbedParams
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+ if embedding_model is not None:
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  embed_params = {
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  EmbedParams.TRUNCATE_INPUT_TOKENS: emb_model_max_tk,
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  EmbedParams.RETURN_OPTIONS: {
 
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  @app.cell
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+ def emb_model_instantiation(client, emb_model, embed_params):
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  from ibm_watsonx_ai.foundation_models import Embeddings
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  if client is not None:
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  embedding = Embeddings(