Create app.py

app.py

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+import streamlit as st
+
+x = st.slider('Select a value')
+st.write(x, 'squared is', x * x)
+
+from transformers import HfApi
+
+def upload_file_to_huggingface(file_url, filename, api_token):
+    # Download the file from the URL
+    response = requests.get(file_url)
+    file_content = response.content
+
+    # Initialize the Hugging Face API client
+    hf_api = HfApi()
+    hf_api.set_access_token(api_token)
+
+    # Upload the file to Hugging Face
+    hf_api.upload_file(filename, file_content)
+
+    print(f"File uploaded to Hugging Face as {filename}")
+
+# Replace 'your-api-token' with your actual Hugging Face API token
+api_token = '26c6255b595c4aac4c30f7fa6644c1a726b70972_1694005299.jpg'
+file_url = 'https://dkstatics-public.digikala.com/digikala-products/26c6255b595c4aac4c30f7fa6644c1a726b70972_1694005299.jpg'
+filename = '26c6255b595c4aac4c30f7fa6644c1a726b70972_1694005299.jpg'
+
+upload_file_to_huggingface(file_url, filename, api_token)