app.py

import gradio as gr
from transformers import pipeline

# Load the weather question answering model from Hugging Face
model = pipeline("question-answering", model="mrm8488/t5-base-finetuned-weather-questions")

def get_weather(question):
    # Use the weather question answering model to get the answer
    answer = model({
        "question": question,
        "context": "The weather today is sunny with a temperature of 25 degrees Celsius."
    })
    return answer["answer"]

# Create a Gradio interface for the weather app
def app():
    weather_question = gr.inputs.Textbox(lines=2, label="Ask a weather-related question")
    result = gr.outputs.Textbox(label="Answer")
    
    gr.Interface(fn=get_weather, inputs=weather_question, outputs=result).launch()

# Run the weather app
app()