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files/app.py

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+from flask import Flask, render_template, request, jsonify
+import traceback
+import json
+
+# 🔥 IMPORTA SEU PIPELINE
+from oci_genai_llm_graphrag_financial import answer_question
+
+app = Flask(__name__)
+
+def parse_llm_json(raw: str) -> dict:
+    try:
+        raw = raw.replace("```json", "")
+        raw = raw.replace("```", "")
+        return json.loads(raw)
+    except Exception:
+        return {
+            "answer": "ERROR",
+            "justification": "LLM returned invalid JSON",
+            "raw_output": raw
+        }
+
+# =========================
+# Health check (Load Balancer)
+# =========================
+@app.route("/health", methods=["GET"])
+def health():
+    return jsonify({"status": "UP"}), 200
+
+
+# =========================
+# Página Web
+# =========================
+@app.route("/", methods=["GET"])
+def index():
+    return render_template("index.html")
+
+
+# =========================
+# Endpoint de Chat
+# =========================
+@app.route("/chat", methods=["POST"])
+def chat():
+    try:
+        data = request.get_json()
+        question = data.get("question", "").strip()
+
+        if not question:
+            return jsonify({"error": "Empty question"}), 400
+
+        raw_answer = answer_question(question)
+        parsed_answer = parse_llm_json(raw_answer)
+
+        return jsonify({
+            "question": question,
+            "result": parsed_answer
+        })
+
+    except Exception as e:
+        traceback.print_exc()
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == "__main__":
+    app.run(
+        host="0.0.0.0",
+        port=8100,
+        debug=False
+    )