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# deploy_to_hf.py
import os
import requests
# Your Hugging Face token
HF_TOKEN = os.environ.get("HF_REPO_API")
headers = {
"Authorization": f"Bearer {HF_TOKEN}",
"Content-Type": "application/json"
}
# The main app content (from your previous app.py)
app_content = """
import gradio as gr
import requests
from bs4 import BeautifulSoup
from transformers import pipeline
import PyPDF2
import docx
import os
from typing import List, Tuple, Optional
class ContentAnalyzer:
def __init__(self):
# Initialize models
self.summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
self.sentiment_analyzer = pipeline("sentiment-analysis")
self.zero_shot = pipeline("zero-shot-classification")
def read_file(self, file_obj) -> str:
# ... [rest of your ContentAnalyzer class code]
pass
# ... [rest of your app.py code]
"""
def commit_files_to_space():
# Prepare files content
files = {
'app.py': app_content,
'requirements.txt': """gradio>=4.0.0
requests>=2.31.0
beautifulsoup4>=4.12.2
transformers>=4.35.0
torch>=2.0.1
PyPDF2>=3.0.0
python-docx>=0.8.11
smolagents>=0.2.0""",
'README.md': """---
title: Content Analyzer
emoji: 📑
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
---
# Content Analyzer
An advanced content analysis tool that can process:
- Text input
- Web URLs
- Document files (.txt, .pdf, .docx)
## Features
- Text summarization
- Sentiment analysis
- Topic detection
"""
}
# Commit each file
commit_url = "https://huggingface.co/api/spaces/MHamdan/ContentAnalyzer/commit"
operations = []
for filename, content in files.items():
operations.append({
"operation": "create",
"path": filename,
"content": content
})
commit_data = {
"operations": operations,
"commit_message": "Initial content analyzer setup"
}
response = requests.post(
commit_url,
headers=headers,
json=commit_data
)
if response.status_code == 200:
print("Files committed successfully!")
print("You can view your space at: https://huggingface.co/spaces/MHamdan/ContentAnalyzer")
else:
print("Error committing files:", response.text)
print("Status code:", response.status_code)
if __name__ == "__main__":
# Verify authentication first
auth_response = requests.get("https://huggingface.co/api/whoami-v2", headers=headers)
if auth_response.status_code == 200:
print("Authentication successful!")
commit_files_to_space()
else:
print("Authentication failed. Please check your token.")
print("Status code:", auth_response.status_code)
print("Response:", auth_response.text) |