gregorkrzmanc commited on
Commit
08310aa
·
1 Parent(s): 0cb3a0b
Files changed (2) hide show
  1. Dockerfile +9 -2
  2. app.py +4 -5
Dockerfile CHANGED
@@ -10,6 +10,13 @@ SHELL ["/bin/bash", "-c"]
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  USER root
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  RUN apt update && \
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  DEBIAN_FRONTEND=noninteractive apt install --yes --no-install-recommends \
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  build-essential \
@@ -66,7 +73,8 @@ RUN python3 -m pip install hdbscan
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  RUN python3 -c "\
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  from huggingface_hub import snapshot_download; \
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  snapshot_download(repo_id='gregorkrzmanc/jetclustering', local_dir='models/'); \
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- snapshot_download(repo_id='gregorkrzmanc/jetclustering_demo', local_dir='demo_datasets/', repo_type='dataset')"
 
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  # remove pip cache
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  RUN python3 -m pip cache purge
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@@ -92,4 +100,3 @@ EXPOSE 7860
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  ENV GRADIO_SERVER_NAME="0.0.0.0"
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  CMD ["python", "app.py"]
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-
 
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  USER root
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+ RUN ls /app
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+ RUN echo "---"
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+ RUN ls /app/src
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+ RUN echo "----"
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+ RUN ls /app/src/models/
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+ RUN echo "----"
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+ RUN ls /app/src/models/lgatr
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  RUN apt update && \
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  DEBIAN_FRONTEND=noninteractive apt install --yes --no-install-recommends \
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  build-essential \
 
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  RUN python3 -c "\
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  from huggingface_hub import snapshot_download; \
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  snapshot_download(repo_id='gregorkrzmanc/jetclustering', local_dir='models/'); \
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+ snapshot_download(repo_id='gregorkrzmanc/jetclustering_demo', local_dir='demo_datasets/', \
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+ ='dataset')"
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  # remove pip cache
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  RUN python3 -m pip cache purge
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  ENV GRADIO_SERVER_NAME="0.0.0.0"
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  CMD ["python", "app.py"]
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app.py CHANGED
@@ -23,9 +23,8 @@ def prefill_event(subdataset, event_idx):
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  return particles_data, quarks_data
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- #from huggingface_hub import snapshot_download#
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- #
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- #snapshot_download(repo_id="gregorkrzmanc/jetclustering", local_dir="src/models/")
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  #snapshot_download(repo_id="gregorkrzmanc/jetclustering_demo", local_dir="demo_datasets/", repo_type="dataset")
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  # === Interface layout ===
@@ -38,12 +37,12 @@ def gradio_ui():
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  train_dataset_dropdown = gr.Dropdown(choices=["QCD", "900_03", "900_03+700_07", "700_07", "900_03+700_07+QCD"], label="Training Dataset", value="QCD")
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  with gr.Row():
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- subdataset_dropdown = gr.Dropdown(choices=os.listdir("demo_datasets"), label="Subdataset")
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  event_idx_dropdown = gr.Dropdown(choices=list(range(50)), label="Event Index")
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  prefill_btn = gr.Button("Load Event from Dataset")
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  particles_text = gr.Textbox(label="Particles CSV (pt eta phi mass charge)", lines=6, interactive=True)
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- quarks_text = gr.Textbox(label="Quarks CSV (pt eta phi)", lines=3, interactive=True)
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  process_btn = gr.Button("Run Jet Clustering")
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  return particles_data, quarks_data
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+ #from huggingface_hub import snapshot_download
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+ #snapshot_download(repo_id="gregorkrzmanc/jetclustering", local_dir="models/")
 
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  #snapshot_download(repo_id="gregorkrzmanc/jetclustering_demo", local_dir="demo_datasets/", repo_type="dataset")
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  # === Interface layout ===
 
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  train_dataset_dropdown = gr.Dropdown(choices=["QCD", "900_03", "900_03+700_07", "700_07", "900_03+700_07+QCD"], label="Training Dataset", value="QCD")
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  with gr.Row():
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+ subdataset_dropdown = gr.Dropdown(choices=[x for x in os.listdir("demo_datasets") if not x.startswith(".")], label="Subdataset")
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  event_idx_dropdown = gr.Dropdown(choices=list(range(50)), label="Event Index")
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  prefill_btn = gr.Button("Load Event from Dataset")
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  particles_text = gr.Textbox(label="Particles CSV (pt eta phi mass charge)", lines=6, interactive=True)
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+ quarks_text = gr.Textbox(label="Quarks CSV (pt eta phi) - optional", lines=3, interactive=True)
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  process_btn = gr.Button("Run Jet Clustering")
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