Upload README.md

README.md

@@ -1,14 +1,43 @@
----
-title: Alg
-emoji: 📊
-colorFrom: indigo
-colorTo: yellow
-sdk: gradio
-sdk_version: 6.2.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: for embeding image free
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# CLIP Image Embedding API
+
+Free CLIP embeddings - two deployment options.
+
+## Option 1: Hugging Face Spaces (Recommended - has working API!)
+
+1. Create a new Space at https://huggingface.co/spaces
+2. Choose "Gradio" as SDK
+3. Upload `gradio_app.py` as `app.py`
+4. Upload `requirements.txt`
+5. Your API will be at: `https://your-username-your-space.hf.space/api/predict`
+
+### API Usage (Gradio)
+```javascript
+// From Node.js backend
+const response = await axios.post('https://your-space.hf.space/api/predict', {
+  data: ['https://example.com/image.jpg']
+});
+const embedding = response.data.data[0].embedding; // 512 dimensions
+```
+
+### Environment Variable
+```
+HF_CLIP_URL=https://your-username-your-space.hf.space
+```
+
+## Option 2: Streamlit Cloud (Web UI only - no API)
+
+1. Push this folder to GitHub
+2. Go to https://share.streamlit.io
+3. Deploy `app.py`
+
+Note: Streamlit doesn't work as REST API, only for interactive web UI.
+
+## Local Testing
+```bash
+# Gradio (recommended)
+pip install -r requirements.txt
+python gradio_app.py
+
+# Streamlit
+streamlit run app.py
+```