v4

.zeno_cache/OUTPUTStable Diffusion.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7dae3bfa1cc6f8430415a422c96a48866c8bd7ef3e849e193349bd9b29f15c8
+size 106025883

.zeno_cache/PREDISTILLlength.pickle

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4ffa123a5017b310990a9b70ad99c59c87ad2d6b725b02d0231397baae94d76a
-size 100459948
+oid sha256:4df3b80eda5266afa2f990fb20fc79a754d0a5ef766c8f25df19542a018a3b7d
+size 100459898

.zeno_cache/folders.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec0a6ccf9debf1c16781445c4b9106080d00478b0559469336db7c7b7b9711c8
+size 5

.zeno_cache/reports.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a848f603456d7c6c08a6072a4d67f7bafe742b9a670496c51e06883f12943058
+size 1625

.zeno_cache/slices.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4749f80758f2a5d004c27f8aadbbb0d6aaf286f338c2a5e0f4f726d9cb3bbf90
+size 801

.zeno_cache/view.mjs

@@ -533,7 +533,7 @@ function add_css(target) {
 	append_styles(target, "svelte-8lajst", ".label.svelte-8lajst{margin-right:5px;font-size:10px;color:rgba(0, 0, 0, 0.5);font-variant:small-caps}.text.svelte-8lajst{display:flex;flex-direction:row}.value.svelte-8lajst{font-size:10px}.box.svelte-8lajst{width:min-content;padding:5px;border:0.5px solid rgb(224, 224, 224)}");
 }
 
-// (22:2) {#if modelColumn && entry[modelColumn]}
+// (21:2) {#if modelColumn && entry[modelColumn]}
 function create_if_block(ctx) {
 	let div;
 	let span0;
@@ -650,7 +650,7 @@ function create_fragment(ctx) {
 			this.h();
 		},
 		h() {
-			if (!src_url_equal(img.src, img_src_value = "" + (/*dataOrigin*/ ctx[3] + /*entry*/ ctx[0][/*idColumn*/ ctx[4]]))) attr(img, "src", img_src_value);
+			if (!src_url_equal(img.src, img_src_value = /*entry*/ ctx[0][/*dataColumn*/ ctx[3]])) attr(img, "src", img_src_value);
 			attr(img, "alt", img_alt_value = "Image thumbnail for instance " + /*entry*/ ctx[0][/*idColumn*/ ctx[4]]);
 			set_style(img, "max-width", `200px`, false);
 			attr(span0, "class", "label svelte-8lajst");
@@ -675,7 +675,7 @@ function create_fragment(ctx) {
 			if (if_block) if_block.m(div1, null);
 		},
 		p(ctx, [dirty]) {
-			if (dirty & /*dataOrigin, entry, idColumn*/ 25 && !src_url_equal(img.src, img_src_value = "" + (/*dataOrigin*/ ctx[3] + /*entry*/ ctx[0][/*idColumn*/ ctx[4]]))) {
+			if (dirty & /*entry, dataColumn*/ 9 && !src_url_equal(img.src, img_src_value = /*entry*/ ctx[0][/*dataColumn*/ ctx[3]])) {
 				attr(img, "src", img_src_value);
 			}
 
@@ -713,7 +713,6 @@ function instance($$self, $$props, $$invalidate) {
 	let { modelColumn } = $$props;
 	let { labelColumn } = $$props;
 	let { dataColumn } = $$props;
-	let { dataOrigin } = $$props;
 	let { idColumn } = $$props;
 
 	$$self.$$set = $$props => {
@@ -721,12 +720,11 @@ function instance($$self, $$props, $$invalidate) {
 		if ('options' in $$props) $$invalidate(5, options = $$props.options);
 		if ('modelColumn' in $$props) $$invalidate(1, modelColumn = $$props.modelColumn);
 		if ('labelColumn' in $$props) $$invalidate(2, labelColumn = $$props.labelColumn);
-		if ('dataColumn' in $$props) $$invalidate(6, dataColumn = $$props.dataColumn);
-		if ('dataOrigin' in $$props) $$invalidate(3, dataOrigin = $$props.dataOrigin);
+		if ('dataColumn' in $$props) $$invalidate(3, dataColumn = $$props.dataColumn);
 		if ('idColumn' in $$props) $$invalidate(4, idColumn = $$props.idColumn);
 	};
 
-	return [entry, modelColumn, labelColumn, dataOrigin, idColumn, options, dataColumn];
+	return [entry, modelColumn, labelColumn, dataColumn, idColumn, options];
 }
 
 class InstanceView extends SvelteComponent {
@@ -744,8 +742,7 @@ class InstanceView extends SvelteComponent {
 				options: 5,
 				modelColumn: 1,
 				labelColumn: 2,
-				dataColumn: 6,
-				dataOrigin: 3,
+				dataColumn: 3,
 				idColumn: 4
 			},
 			add_css
@@ -760,7 +757,6 @@ function getInstance(
   modelColumn,
   labelColumn,
   dataColumn,
-  dataOrigin,
   idColumn
 ) {
   new InstanceView({
@@ -771,7 +767,6 @@ function getInstance(
       modelColumn: modelColumn,
       labelColumn: labelColumn,
       dataColumn: dataColumn,
-      dataOrigin: dataOrigin,
       idColumn: idColumn,
     },
     hydrate: true,

config.toml

@@ -1,11 +1,17 @@
 functions = "./"
 view = "image-classification"
 metadata = "./metadata_f.parquet"
+models = ["Stable Diffusion"]
 data_path = "https://diffusiondb.m4ke.org/"
 data_column = "image_name"
+id_column = "image_name"
 label_column = "prompt"
 batch_size = 100000
-port = 7860 
+calculate_histogram_metrics = false
+port = 7860
+
 host = "0.0.0.0"
 editable = false
-calculate_histogram_metrics = false
+
+# host = "localhost"
+# editable = true

functions.py

@@ -1,17 +1,34 @@
-from zeno import distill, metric, ZenoOptions
 from pandas import DataFrame
 
+from zeno import (
+    DistillReturn,
+    MetricReturn,
+    ModelReturn,
+    ZenoOptions,
+    distill,
+    metric,
+    model,
+)
+
+
+@model
+def model_ret(name):
+    def model(df: DataFrame, ops: ZenoOptions):
+        return ModelReturn(model_output=df[ops.data_column])
+
+    return model
+
 
 @distill
 def length(df: DataFrame, ops: ZenoOptions):
-    return df["prompt"].str.len()
+    return DistillReturn(distill_output=df["prompt"].str.len())
 
 
 @metric
 def avg_image_nswf(df: DataFrame, ops: ZenoOptions):
-    return float(df["image_nsfw"].dropna().mean())
+    return MetricReturn(metric=float(df["image_nsfw"].dropna().mean()))
 
 
 @metric
 def avg_prompt_nsfw(df: DataFrame, ops: ZenoOptions):
-    return float(df["prompt_nsfw"].dropna().mean())
+    return MetricReturn(metric=float(df["prompt_nsfw"].dropna().mean()))

requirements.txt

@@ -1,2 +1,2 @@
-zenoml>=0.3.14
+zenoml>=0.4.6
 pyarrow