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import os
# Set cache dirs (must match Dockerfile env vars)
os.environ['HOME'] = '/app'
os.environ['HF_HOME'] = '/app/.hf_cache'
os.environ['LANGTOOL_HOME'] = '/app/.ltool_cache'
os.environ['XDG_CACHE_HOME'] = '/app/.cache'
from flask import Flask, request, jsonify
from paragraph_checker import ParagraphCorrector
from grammar_chatbot import GrammarChatbot
import logging
app = Flask(__name__)
# Initialize services
paragraph_service = ParagraphCorrector()
chatbot_service = GrammarChatbot()
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
@app.route('/', methods=['GET'])
def home():
return '''
<h2>📝 Convomate Module</h2>
<p>Use POST <code>/correct_text</code> or <code>/chat</code> endpoints.</p>
<p>GET <code>/health</code> for health check.</p>
'''
@app.route('/correct_text', methods=['POST'])
def handle_paragraph():
"""Endpoint for conservative paragraph correction"""
data = request.get_json()
text = data.get('paragraph', '').strip()
if not text:
return jsonify({"error": "No paragraph provided"}), 400
try:
corrected = paragraph_service.conservative_correction(text)
return jsonify({
"original_text": text,
"grammar_corrected": corrected
})
except Exception as e:
logger.error(f"Paragraph correction error: {str(e)}")
return jsonify({
"error": "Paragraph processing failed",
"details": str(e)
}), 500
@app.route('/chat', methods=['POST', 'GET']) # Added GET method for testing
def handle_chat():
"""Endpoint for fluent conversational correction"""
if request.method == 'POST':
data = request.get_json()
user_input = data.get('message', '').strip()
else: # GET method for testing
user_input = request.args.get('message', '').strip()
if not user_input:
return jsonify({"error": "No message provided"}), 400
try:
response = chatbot_service.generate_response(user_input)
return jsonify({
"original_text": response["original_text"],
"corrected_text": response["corrected_text"],
"is_corrected": response["is_corrected"],
"compliment": response["compliment"],
"next_question": response["next_question"],
"end_conversation": response["end_conversation"]
})
except Exception as e:
logger.error(f"Chatbot error: {str(e)}")
return jsonify({
"error": "Chat processing failed",
"details": str(e)
}), 500
@app.route('/start', methods=['GET'])
def start_conversation():
try:
response = chatbot_service.start_conversation()
return jsonify(response)
except Exception as e:
logger.error(f"Start conversation error: {str(e)}")
return jsonify({
"error": "Failed to start conversation",
"details": str(e)
}), 500
@app.route('/health', methods=['GET', 'POST']) # Added POST method for testing
def health_check():
return jsonify({
"status": "healthy",
"services": ["paragraph", "chat"],
"details": {
"paragraph_service": "active",
"chatbot_service": "active"
}
})
if __name__ == '__main__':
logger.info("Starting grammar services...")
port = int(os.environ.get("PORT", 8080)) # Default fallback port
app.run(host='0.0.0.0', port=port, debug=True)
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