Create app.py

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+from nomic.embed import EmbeddingModel
+
+# Load the Nomic embedding model
+model = EmbeddingModel()
+
+def get_embedding(text):
+    """Generate an embedding for the input text using Nomic encoder."""
+    if not text.strip():
+        return "Please provide some text."
+    
+    # Generate embedding
+    embedding = model.embed(text)
+    
+    # Return embedding as list (more user-friendly in the UI)
+    return embedding.tolist()
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=get_embedding,
+    inputs=gr.Textbox(lines=5, placeholder="Enter text to embed..."),
+    outputs=gr.JSON(),
+    title="Text Embedding with Nomic Encoder",
+    description="Enter text to get its embedding vector using the Nomic Encoder model."
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch()