initial commit

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(
+    "image-classification", model="p1atdev/siglip-tagger-test-3", trust_remote_code=True
+)
+
+
+def predict(input_img):
+    predictions = pipeline(
+        input_img,
+        threshold=0.5,  # optional parameter defaults to 0
+        return_scores=False,  # optional parameter defaults to False
+    )
+    return predictions
+
+
+description = """
+image annotation pipeline using [`p1atdev/siglip-tagger-test-3`](https://huggingface.co/p1atdev/siglip-tagger-test-3) model **( •̀ ω •́ )y**
+
+shoutout to [@p1atdev](https://huggingface.co/p1atdev) for his awesome work **~(=^‥^)ノ**
+"""
+
+
+app = gr.Interface(
+    predict,
+    inputs=gr.Image(label="add your image here"),
+    outputs=gr.Text(label="tags"),
+    title="Image Annotator",
+    description=description,
+)
+
+app.launch()

requirements.txt

@@ -0,0 +1,3 @@
+transformers
+gradio
+torch