Create app.py

app.py

@@ -0,0 +1,53 @@
+# Install necessary libraries
+# !pip install gradio huggingface_hub requests
+
+import gradio as gr
+import requests
+import os
+from huggingface_hub import HfApi, HfFolder
+
+def download_and_upload(download_url, hf_write_token, model_name):
+    # Get the file name
+    file_name = download_url.split("/")[-1]
+    save_path = file_name
+
+    # Download the file
+    try:
+        response = requests.get(download_url, stream=True)
+        response.raise_for_status()
+        with open(save_path, 'wb') as f:
+            for chunk in response.iter_content(chunk_size=8192):
+                f.write(chunk)
+    except requests.exceptions.RequestException as e:
+        return f"An error occurred while downloading the file: {e}"
+    
+    # Upload the file to Hugging Face
+    try:
+        api = HfApi()
+        HfFolder.save_token(hf_write_token)
+        api.upload_file(
+            path_or_fileobj=save_path,
+            path_in_repo=file_name,  # Use the downloaded file name as is
+            repo_id=model_name,
+            repo_type="model"
+        )
+        return f"File successfully uploaded to {model_name}."
+    except Exception as e:
+        return f"An error occurred while uploading the file: {e}"
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("# File Uploader")
+
+    download_url = gr.Textbox(label="Download URL", placeholder="Enter the file download link")
+    hf_write_token = gr.Textbox(label="Hugging Face Write Token", placeholder="Enter your Hugging Face write token", type="password")
+    model_name = gr.Textbox(label="Model Name", placeholder="Enter the model name (e.g., username/model_name)")
+
+    output = gr.Textbox(label="Output")
+
+    upload_button = gr.Button("Download and Upload")
+
+    upload_button.click(download_and_upload, inputs=[download_url, hf_write_token, model_name], outputs=output)
+
+# Run the app
+demo.launch()