Create app.py

app.py

@@ -0,0 +1,48 @@
+import os
+import json
+import openai
+from fastapi import FastAPI, Request
+
+app = FastAPI()
+
+# Load knowledge base
+with open("kb.json") as f:
+    kb = json.load(f)
+
+system_prompt = "You are a helpful assistant. Only answer questions based on the following knowledge base:\n\n"
+for question, answer in kb.items():
+    system_prompt += f"Q: {question}\nA: {answer}\n\n"
+system_prompt += (
+    "If the question is not in the knowledge base, respond with: "
+    "'I'm not sure about that. Let me connect you with a human agent.'"
+)
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+openai.api_base = os.getenv("OPENAI_API_BASE", "https://fast.typegpt.net/v1")
+
+@app.post("/ask")
+async def ask(request: Request):
+    data = await request.json()
+    user_question = data.get("content") or data.get("message") or ""
+
+    if not user_question:
+        return {"reply": "Please ask a question."}
+
+    messages = [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": user_question},
+    ]
+
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-4o-mini",
+            messages=messages,
+            temperature=0.0,
+            max_tokens=200,
+        )
+        answer = response.choices[0].message.content.strip()
+    except Exception as e:
+        print(f"Error calling OpenAI: {e}")
+        answer = "Sorry, I'm having trouble answering right now."
+
+    return {"reply": answer}