app.py

import gradio as gr

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("sengeolab/geocode")
model = AutoModel.from_pretrained("sengeolab/geocode")

# Define your Gradio interface
inputs = gr.Textbox(lines=3, label="Input Address")
outputs = gr.Label(label="Geocoded Location")

def geocode_address(address):
    # Tokenize the input text
    inputs = tokenizer(address, return_tensors="pt", padding=True, truncation=True)

    # Perform inference
    outputs = model(**inputs)
    # Add your inference logic here
    # For example, you can process the outputs and return the geocoded location

    return "Geocoded Location"  # Replace this with your actual output

# Launch the Gradio interface
gr.Interface(fn=geocode_address, inputs=inputs, outputs=outputs).launch()