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@@ -19,12 +19,6 @@ RUN pip install --no-cache-dir -r requirements.txt
 COPY app.py .
 COPY model.py .
 
-# Create and copy static files
-RUN mkdir -p static
-RUN if [ -d "static" ] && [ "$(ls -A static)" ]; then \
-    cp -r static/* ./static/; \
-    fi
-
 # Copy dataset if it exists, otherwise create a placeholder
 COPY dataset.txt* ./
 

app.py

@@ -1,6 +1,4 @@
 from fastapi import FastAPI, HTTPException
-from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
 from pydantic import BaseModel
 import torch
 import torch.nn as nn
@@ -10,9 +8,6 @@ import json
 
 app = FastAPI(title="Poetry Generator", description="AI Poetry Generator using GPT model")
 
-# Mount static files
-app.mount("/static", StaticFiles(directory="static"), name="static")
-
 # Load model configuration and vocabulary
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
@@ -179,7 +174,15 @@ class PoetryResponse(BaseModel):
 
 @app.get("/")
 async def root():
-    return FileResponse('static/index.html')
+    return {
+        "message": "Welcome to Poetry Generator API",
+        "endpoints": {
+            "/api": "GET - API information",
+            "/health": "GET - Health check",
+            "/generate": "POST - Generate poetry",
+            "/generate_creative": "POST - Generate creative poetry"
+        }
+    }
 
 @app.get("/api")
 async def api_info():