app.py

import gradio as gr
import joblib
import requests
import os
import pandas as pd


# Download the model file
model_url = "https://huggingface.co/stummala521/AI4SAR/resolve/main/model.pkl"
local_filename = "model.pkl"

# Download the file
response = requests.get(model_url, allow_redirects=True)
with open(local_filename, 'wb') as f:
    f.write(response.content)

# Load the model
model = joblib.load(local_filename)

test_data = pd.DataFrame({'location_found_elevation': [700, 500, 300], 'situation': ['Lost', 'Stranded', 'Lost']})

output = model.predict(test_data)

def greet(name):
    return "Hello " + name + "!" + str(output[0])

demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()