feat: Create initial Flask API for text analysis

This commit introduces a basic Flask application to serve as a backend for text analysis. It is designed to be called by mobile applications (Android/iOS) to check text for potential security threats.

The application includes:
- A root endpoint for health checks.
- An `/analyze` endpoint that accepts POST requests with JSON data.
- Placeholder logic for text analysis.
- A `requirements.txt` file for dependency management.

Author: google-labs-jules[bot]

text_message_analyzer/app.py

@@ -0,0 +1,28 @@
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+@app.route("/")
+def hello():
+    return "Hello, World!"
+
+@app.route('/analyze', methods=['POST'])
+def analyze():
+    data = request.get_json()
+    if not data or 'text' not in data:
+        return jsonify({'error': 'Invalid input, "text" field is required.'}), 400
+
+    text_to_analyze = data['text']
+
+    # Placeholder analysis logic
+    is_suspicious = 'phishing' in text_to_analyze.lower()
+
+    return jsonify({
+        'text': text_to_analyze,
+        'analysis': {
+            'is_suspicious': is_suspicious
+        }
+    })
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=8080)

text_message_analyzer/requirements.txt

@@ -0,0 +1 @@
+Flask