YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

import gradio as gr import requests

Function to fetch the current price of a cryptocurrency from CoinGecko

def get_crypto_price(coin_id): # Define the endpoint and query parameters endpoint = f"https://api.coingecko.com/api/v3/simple/price" params = { "ids": coin_id, # ID of the cryptocurrency "vs_currencies": "usd", # Currency to compare with (USD) } # Make the GET request to CoinGecko API response = requests.get(endpoint, params=params)

if response.status_code == 200:
    # Get the JSON data from the response
    data = response.json()
    # Extract the price for the specified coin
    price = data.get(coin_id, {}).get("usd", "N/A")
    if price == "N/A":
        return f"Couldn't find data for '{coin_id}'. Please check the ID and try again."
    else:
        return f"The current price of {coin_id} is ${price:.2f} USD."
else:
    return f"Error fetching data from CoinGecko. Status code: {response.status_code}"

Gradio interface function

def crypto_price_gradio(coin_id): return get_crypto_price(coin_id)

Create the Gradio interface

iface = gr.Interface( fn=crypto_price_gradio, inputs=gr.Textbox(label="Enter Cryptocurrency ID (e.g., bitcoin, ethereum)"), outputs=gr.Textbox(label="Price in USD"), title="Cryptocurrency Price Checker", description="Enter a cryptocurrency ID to get its current price in USD." )

Launch the Gradio interface

iface.launch()

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.