app.py

import gradio as gr
from langchain_huggingface import HuggingFaceEmbeddings

# Initialize embedding model
embedding_model = HuggingFaceEmbeddings(model_name="mixedbread-ai/mxbai-embed-large-v1")

# Function to generate embeddings
def embed_text(text):
    return embedding_model.embed_query(text)

# Create Gradio Interface
iface = gr.Interface(
    fn=embed_text,
    inputs="text",
    outputs="json",
    title="Ollama Text Embeddings",
    description="Enter text to get its embedding using Ollama and Hugging Face.",
)

# Launch the Gradio app
if __name__ == "__main__":
    iface.launch(server_name="0.0.0.0", server_port=7860)