Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import AutoModel, AutoTokenizer
+
+# Load a small CPU model for text to vector processing
+model_name = "sentence-transformers/all-MiniLM-L6-v2"
+model = AutoModel.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+def text_to_vector(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model(**inputs)
+    vector = outputs.pooler_output.detach().numpy()[0]
+    return vector
+
+demo = gr.Interface(
+    fn=text_to_vector,
+    inputs=gr.Textbox(label="Enter text"),
+    outputs=gr.Textbox(label="Text Vector"),
+    title="Text to Vector",
+    description="This demo uses a small CPU model to convert text to vector."
+)
+
+demo.launch()