Ceyda Cinarel commited on
Commit
b10f4fc
1 Parent(s): 07c95a1

remove debug

Browse files
Files changed (1) hide show
  1. app.py +9 -7
app.py CHANGED
@@ -34,6 +34,9 @@ with st.sidebar.beta_expander("Motivation",expanded=True):
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  )
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  top_k=st.sidebar.slider("Show top-K", min_value=1, max_value=50, value=20)
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  col_count=4
 
 
 
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  show_val=st.sidebar.button("show all validation set images")
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  if show_val:
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  cols=st.sidebar.beta_columns(col_count)
@@ -58,8 +61,7 @@ def load_image_index():
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  return index
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- file_names=os.listdir("./imgs")
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- file_names.sort()
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  image_index = load_image_index()
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  model, processor = load_model()
@@ -85,17 +87,17 @@ def query_with_images(query_images,query_text):
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  inputs["pixel_values"] = jnp.transpose(inputs["pixel_values"], axes=[0, 2, 3, 1])
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  outputs = model(**inputs)
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  logits_per_image = outputs.logits_per_image.reshape(-1)
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- st.write(logits_per_image)
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  probs = jax.nn.softmax(logits_per_image)
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- st.write(probs)
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- st.write(list(zip(images,probs)))
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  results = sorted(list(zip(images,probs)),key=lambda x: x[1], reverse=True)
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- st.write(results)
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  return zip(*results)
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  q_cols=st.beta_columns([5,2,5])
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- examples = ["I'm so scared right now"," I got the job 🎉","OMG that is disgusting","You're awesome","I love you ❤️"]
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  example_input = q_cols[0].radio("Example Queries :",examples,index=4)
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  q_cols[2].markdown(
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  """
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  )
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  top_k=st.sidebar.slider("Show top-K", min_value=1, max_value=50, value=20)
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  col_count=4
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+ file_names=os.listdir("./imgs")
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+ file_names.sort()
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+
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  show_val=st.sidebar.button("show all validation set images")
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  if show_val:
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  cols=st.sidebar.beta_columns(col_count)
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  return index
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+
 
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  image_index = load_image_index()
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  model, processor = load_model()
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  inputs["pixel_values"] = jnp.transpose(inputs["pixel_values"], axes=[0, 2, 3, 1])
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  outputs = model(**inputs)
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  logits_per_image = outputs.logits_per_image.reshape(-1)
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+ # st.write(logits_per_image)
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  probs = jax.nn.softmax(logits_per_image)
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+ # st.write(probs)
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+ # st.write(list(zip(images,probs)))
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  results = sorted(list(zip(images,probs)),key=lambda x: x[1], reverse=True)
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+ # st.write(results)
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  return zip(*results)
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  q_cols=st.beta_columns([5,2,5])
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+ examples = ["OMG that is disgusting","I'm so scared right now"," I got the job 🎉","Congratulations to all the flax-community week teams","You're awesome","I love you ❤️"]
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  example_input = q_cols[0].radio("Example Queries :",examples,index=4)
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  q_cols[2].markdown(
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  """