Spaces:
Sleeping
Sleeping
Upload app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
import ccxt
|
| 3 |
+
import pandas as pd
|
| 4 |
+
from datetime import datetime, timedelta
|
| 5 |
+
from huggingface_hub import HfApi
|
| 6 |
+
import os
|
| 7 |
+
from tqdm import tqdm
|
| 8 |
+
import time
|
| 9 |
+
import logging
|
| 10 |
+
|
| 11 |
+
# Setup logging
|
| 12 |
+
logging.basicConfig(level=logging.INFO)
|
| 13 |
+
logger = logging.getLogger(__name__)
|
| 14 |
+
|
| 15 |
+
def fetch_and_upload_data():
|
| 16 |
+
output_messages = []
|
| 17 |
+
try:
|
| 18 |
+
HF_TOKEN = os.environ.get("HF_TOKEN")
|
| 19 |
+
if not HF_TOKEN:
|
| 20 |
+
return "Error: HF_TOKEN not found in environment variables"
|
| 21 |
+
|
| 22 |
+
# Your existing fetch_and_upload_data code here
|
| 23 |
+
return "Data fetching process started..."
|
| 24 |
+
except Exception as e:
|
| 25 |
+
return f"Error: {str(e)}"
|
| 26 |
+
|
| 27 |
+
# Create Gradio interface
|
| 28 |
+
iface = gr.Interface(
|
| 29 |
+
fn=fetch_and_upload_data,
|
| 30 |
+
inputs=[],
|
| 31 |
+
outputs=gr.Textbox(label="Output Log", lines=20),
|
| 32 |
+
title="Crypto Data Fetcher and Uploader",
|
| 33 |
+
description="Fetch cryptocurrency data from Binance and upload to Hugging Face dataset",
|
| 34 |
+
allow_flagging="never"
|
| 35 |
+
)
|
| 36 |
+
|
| 37 |
+
if __name__ == "__main__":
|
| 38 |
+
iface.launch()
|