Upload app.py

# app.py
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse, HTMLResponse
from pydantic import BaseModel
from dotenv import load_dotenv
import os

load_dotenv()
SECURE_TOKEN = os.getenv("API_KEY", "your-secret-api-key")

app = FastAPI()

class GenerateRequest(BaseModel):
prompt: str
token: str



@app
.post("/generate")
async def generate(req: GenerateRequest):
if req.token != SECURE_TOKEN:
return JSONResponse(status_code=401, content={"error": "Invalid or missing token"})

# TODO: 调用实际模型推理
response = f"🤖 模拟响应: {req.prompt}"
return {"response": response}



@app
.get("/chat", response_class=HTMLResponse)
async def serve_chat():
with open("chat.html", "r", encoding="utf-8") as f:
return f.read()

app.py

@@ -0,0 +1,29 @@
+# app.py
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse, HTMLResponse
+from pydantic import BaseModel
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+SECURE_TOKEN = os.getenv("API_KEY", "your-secret-api-key")
+
+app = FastAPI()
+
+class GenerateRequest(BaseModel):
+    prompt: str
+    token: str
+
+@app.post("/generate")
+async def generate(req: GenerateRequest):
+    if req.token != SECURE_TOKEN:
+        return JSONResponse(status_code=401, content={"error": "Invalid or missing token"})
+
+    # TODO: 调用实际模型推理
+    response = f"🤖 模拟响应: {req.prompt}"
+    return {"response": response}
+
+@app.get("/chat", response_class=HTMLResponse)
+async def serve_chat():
+    with open("chat.html", "r", encoding="utf-8") as f:
+        return f.read()