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Update app.py
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app.py
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@@ -5,16 +5,12 @@ from datasets import load_dataset
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import markdown2
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import signal
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# Set Hugging Face cache directory
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os.environ["HF_HOME"] = "/app/.cache"
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# Initialize Flask app
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application = Flask(__name__, static_folder='static', template_folder='templates')
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# Get Hugging Face token from environment variables
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hf_token = os.getenv("HF_TOKEN")
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# Load datasets and inference client from Hugging Face Hub
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chat_doctor_dataset = load_dataset("avaliev/chat_doctor")
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mental_health_dataset = load_dataset("Amod/mental_health_counseling_conversations")
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@@ -23,7 +19,6 @@ client = InferenceClient(
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token=hf_token,
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)
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# Function to select context based on the user's input
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def select_relevant_context(user_input):
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mental_health_keywords = [
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"anxious", "depressed", "stress", "mental health", "counseling",
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@@ -48,30 +43,31 @@ def select_relevant_context(user_input):
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return context
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# Function to create the prompt to send to the AI model
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def create_prompt(context, user_input):
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# Function to render Markdown into HTML
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def render_markdown(text):
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return markdown2.markdown(text)
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# Flask route to serve the homepage
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@application.route('/')
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def index():
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return render_template('index.html')
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# Route to serve static files
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@application.route('/static/<path:path>')
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def send_static(path):
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return send_from_directory('static', path)
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# Route to handle chat interaction
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@application.route('/chat', methods=['POST'])
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def chat():
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user_input = request.json['message']
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context = select_relevant_context(user_input)
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prompt = create_prompt(context, user_input)
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response = ""
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@@ -86,7 +82,6 @@ def chat():
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return jsonify({"response": formatted_response})
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# Route to shutdown the server (if necessary)
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@application.route('/shutdown', methods=['POST'])
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def shutdown():
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if request.environ.get('werkzeug.server.shutdown'):
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@@ -95,7 +90,6 @@ def shutdown():
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os.kill(os.getpid(), signal.SIGINT)
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return jsonify({"message": "Server is shutting down..."})
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# Function to handle the server shutdown
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def shutdown_server():
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func = request.environ.get('werkzeug.server.shutdown')
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if func is None:
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@@ -103,6 +97,5 @@ def shutdown_server():
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else:
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func()
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# Run the app without specifying host and port (Hugging Face Spaces handles this)
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if __name__ == '__main__':
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application.run()
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import markdown2
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import signal
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os.environ["HF_HOME"] = "/app/.cache"
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application = Flask(__name__, static_folder='static', template_folder='templates')
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hf_token = os.getenv("HF_TOKEN")
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chat_doctor_dataset = load_dataset("avaliev/chat_doctor")
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mental_health_dataset = load_dataset("Amod/mental_health_counseling_conversations")
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token=hf_token,
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)
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def select_relevant_context(user_input):
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mental_health_keywords = [
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"anxious", "depressed", "stress", "mental health", "counseling",
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return context
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def create_prompt(context, user_input):
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prompt = (
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f"{context}\n\n"
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f"User: {user_input}\nAssistant:"
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)
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return prompt
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# Function to render Markdown into HTML
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def render_markdown(text):
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return markdown2.markdown(text)
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@application.route('/')
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def index():
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return render_template('index.html')
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@application.route('/static/<path:path>')
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def send_static(path):
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return send_from_directory('static', path)
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@application.route('/chat', methods=['POST'])
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def chat():
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user_input = request.json['message']
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context = select_relevant_context(user_input)
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prompt = create_prompt(context, user_input)
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response = ""
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return jsonify({"response": formatted_response})
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@application.route('/shutdown', methods=['POST'])
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def shutdown():
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if request.environ.get('werkzeug.server.shutdown'):
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os.kill(os.getpid(), signal.SIGINT)
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return jsonify({"message": "Server is shutting down..."})
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def shutdown_server():
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func = request.environ.get('werkzeug.server.shutdown')
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if func is None:
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else:
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func()
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if __name__ == '__main__':
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application.run(host='0.0.0.0', port=7680)
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