Upload app.py

app.py

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+import gradio as gr
+from huggingface_hub import HfApi
+import os
+
+# Replace these with your own values
+HUGGING_FACE_TOKEN = os.getenv("HUGGING_FACE_TOKEN")
+REPO_ID = "Krishnavardhan/data_upload"  # Space to upload the files
+FOLDER_NAME = "data"
+# Hugging Face API instance
+api = HfApi()
+
+# Function to upload file to Hugging Face space
+def upload_to_huggingface(file):
+    # Extract only the file name, without the full path
+    file_name = os.path.basename(file.name)
+    path_in_repo = f"{FOLDER_NAME}/{file_name}"
+    try:
+        # Upload the file to the specified space
+        api.upload_file(
+            path_or_fileobj=file.name,  # Upload the actual file from the full local path
+            path_in_repo=path_in_repo,  # Use only the file name when uploading to Hugging Face
+            repo_id=REPO_ID,
+            repo_type="space",
+            token=HUGGING_FACE_TOKEN
+        )
+        return f"File '{file_name}' successfully uploaded to Hugging Face space!"
+    except Exception as e:
+        return f"Error uploading file: {str(e)}"
+
+# Gradio interface for file upload
+def file_upload_interface(file):
+    return upload_to_huggingface(file)
+
+# Launch the Gradio interface
+gr.Interface(fn=file_upload_interface, inputs="file", outputs="text").launch()