Upload app (1).py

app (1).py

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+
+import os
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+
+# This is done in the Dockerfile now, but leaving for local dev consistency
+os.environ["XDG_CACHE_HOME"] = os.environ.get("XDG_CACHE_HOME", "/tmp/.cache")
+
+# Import handlers from other server files
+from whisper_server import handle_transcribe, model as whisper_model
+from qgen_server import handle_generate_questions, qg_model
+from qamatcher_server import handle_match_question, matcher_model
+
+app = Flask(__name__)
+
+# Configure CORS to allow all origins
+CORS(app, resources={r"/*": {"origins": "*"}})
+
+@app.route('/')
+def index():
+    return jsonify({
+        'message': 'VoiceQ AI Server is running!',
+        'models_loaded': {
+            'whisper': whisper_model is not None,
+            'question-generator': qg_model is not None,
+            'question-matcher': matcher_model is not None,
+        }
+    })
+
+@app.route('/transcribe', methods=['POST'])
+def transcribe():
+    return handle_transcribe()
+
+@app.route('/generate-questions', methods=['POST'])
+def generate_questions():
+    return handle_generate_questions()
+
+@app.route('/match-question', methods=['POST'])
+def match_question():
+    return handle_match_question()
+
+# The following block is for local development only and will not be used in the Docker container.
+if __name__ == '__main__':
+    PORT = int(os.environ.get("PORT", 5001))
+    app.run(host='0.0.0.0', port=PORT, debug=True)