sync with remote

advertising.csv

@@ -0,0 +1,201 @@
+TV,Radio,Newspaper,Sales
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app.py

@@ -0,0 +1,38 @@
+import os
+import gradio as gr
+from datasets import Dataset
+from huggingface_hub import HfApi, HfFolder
+
+# Get the Hugging Face token from the environment variable
+hf_token = os.getenv("HF_TOKEN")
+
+# Save the token to the Hugging Face folder
+HfFolder.save_token(hf_token)
+
+def upload_to_huggingface(file):
+    # Load the CSV file into a Hugging Face Dataset
+    dataset = Dataset.from_csv(file.name)
+    
+    # Authenticate using the Hugging Face token
+    api = HfApi()
+    api.upload_file(
+        path_or_fileobj=file.name,
+        path_in_repo="advertising.csv",
+        repo_id="wvsu-dti-aidev-team/advertising_sales_regression",
+        repo_type="dataset",
+        token=hf_token
+    )
+    
+    return "Dataset uploaded successfully!"
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=upload_to_huggingface,
+    inputs=gr.File(label="Upload CSV File"),
+    outputs="text",
+    title="Upload Dataset to Hugging Face",
+    description="Upload the advertising.csv dataset to the Hugging Face Hub repository wvsu-dti-aidev-team/advertising_sales_regression."
+)
+
+# Launch the Gradio app
+iface.launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+datasets
+huggingface_hub