First commit

.gitmodules

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+[submodule "datasets"]
+	path = datasets
+	url = ./datasets

README.md

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+# Model - SLNSW Text Summary
+
+## Setup
+```
+git clone git@git.kororo.net:generaptor/model-slnsw-text-summary.git
+
+```

app.py

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+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+
+def predict(image):
+  predictions = pipeline(image)
+  return {p["label"]: p["score"] for p in predictions}
+
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=2),
+    title="Hot Dog? Or Not?",
+    allow_flagging="manual"
+).launch()

datasets

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+Subproject commit 020a887898859f9df574456e0a604aa9df09d97f

requirements.txt

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+transformers
+torch

taskfile.yaml

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+version: "3"
+env:
+  NAME: "slnsw-text-summary"
+tasks:
+  setup-hf:
+    cmds:
+      - huggingface-cli repo create --type model -y $NAME
+      - huggingface-cli repo create --type space --space_sdk gradio -y $NAME
+      - huggingface-cli repo create --type dataset -y $NAME
+  setup-git:
+    cmds:
+      - git remote add hf-model https://huggingface.co/generaptor/$NAME
+      - git remote add hf-space https://huggingface.co/spaces/generaptor/$NAME
+      - git clone https://huggingface.co/datasets/generaptor/$NAME datasets
+      - git submodule add ./datasets hf-datasets
+  setup:
+    cmds:
+      - task: "setup-hf"
+      - task: "setup-git"