mjbuehler commited on
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1 Parent(s): db40fad

Update README.md

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  1. README.md +3 -11
README.md CHANGED
@@ -146,8 +146,7 @@ def is_url_or_filename(val) -> bool:
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  return True
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  def ask_about_image (model, processor, question, images_input=[], verbatim=False,temperature=0.1,show_image=False,
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- system="You are a materials scientist. ", show_conversation=True,
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- max_new_tokens=256, messages=[], images=[], use_Markdown=False):
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  images_input=ensure_list(images_input)
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  if len (images)==0:
@@ -196,15 +195,6 @@ def ask_about_image (model, processor, question, images_input=[], verbatim=Fals
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  messages.append ( {"role": "assistant", "content": [ {"type": "text", "text": generated_texts}]} )
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- formatted_conversation = format_conversation(messages, images)
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-
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- # Display the formatted conversation in Jupyter Notebook
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- if show_conversation:
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- if use_Markdown:
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- display(Markdown(formatted_conversation))
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- else:
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- display(HTML(formatted_conversation))
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-
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  return generated_texts, messages, images
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  question = """What is shown in this image, and what is the relevance for materials design? Include a discussion of multi-agent AI.
@@ -220,6 +210,8 @@ response, messages,images= ask_about_image ( model, processor, question,
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  init_instr='You carefully study the image, and respond accurately, but succinctly. Think step-by-step.\n\n',
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  show_conversation=True,
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  max_new_tokens=512, messages=[], images=[])
 
 
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  ```
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  Sample output:
 
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  return True
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  def ask_about_image (model, processor, question, images_input=[], verbatim=False,temperature=0.1,show_image=False,
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+ system="You are a materials scientist. ", max_new_tokens=256, messages=[], images=[], ):
 
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  images_input=ensure_list(images_input)
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  if len (images)==0:
 
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  messages.append ( {"role": "assistant", "content": [ {"type": "text", "text": generated_texts}]} )
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  return generated_texts, messages, images
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  question = """What is shown in this image, and what is the relevance for materials design? Include a discussion of multi-agent AI.
 
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  init_instr='You carefully study the image, and respond accurately, but succinctly. Think step-by-step.\n\n',
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  show_conversation=True,
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  max_new_tokens=512, messages=[], images=[])
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+
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+ print (response)
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  ```
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  Sample output: