Create app.py

made the app.py first edition

app.py

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+import gradio as gr
+from sentence_transformers import SentenceTransformer
+import torch
+import spaces
+
+# Load model on startup (fits in 16GB RAM)
+model = SentenceTransformer('perplexity-ai/pplx-embed-v1-4b')
+
+@spaces.cpu  # Use CPU for free tier
+def embed_text(texts):
+    if isinstance(texts, str):
+        texts = [texts]
+    embeddings = model.encode(texts, normalize_embeddings=True)
+    return embeddings.tolist()
+
+# Gradio interface with API support
+demo = gr.Interface(
+    fn=embed_text,
+    inputs=gr.Textbox(label="Enter text(s), one per line", lines=3, placeholder="Your text here..."),
+    outputs=gr.Textbox(label="Embeddings (JSON)", lines=10),
+    title="pplx-embed-v1-4b API",
+    description="Free embedding inference. Use /embed endpoint via API."
+)
+
+if __name__ == "__main__":
+    demo.launch()