Update app.py

app.py

@@ -11,14 +11,14 @@ from fastapi.responses import FileResponse
 from pydantic import BaseModel, HttpUrl
 from process_interview import process_interview
 
-# Setup Logging
+# Logging setup
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger("EvalBot-Audio-Processor")
 
-# Initialize App
+# Initialize FastAPI app
 app = FastAPI()
 
-# Directories setup
+# Directories
 BASE_DIR = os.path.dirname(os.path.abspath(__file__))
 TEMP_DIR = os.path.join(BASE_DIR, "temp_files")
 STATIC_DIR = os.path.join(BASE_DIR, "static")
@@ -29,15 +29,15 @@ PDF_DIR = os.path.join(OUTPUT_DIR, "pdf")
 for folder in [TEMP_DIR, JSON_DIR, PDF_DIR]:
     os.makedirs(folder, exist_ok=True)
 
-# Mount static files for serving output files
+# Mount static files
 app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
 
-# Configurations
+# Config
 VALID_EXTENSIONS = ('.wav', '.mp3', '.m4a', '.flac')
 MAX_FILE_SIZE_MB = 300
-BASE_URL = os.getenv("BASE_URL", "https://evalbot-audio-evalbot.hf.space")
+BASE_URL = os.getenv("BASE_URL", "https://evalbot-audio-evalbot.hf.space")  # بدون /static في النهاية
 
-# Request and Response models
+# Models
 class ProcessResponse(BaseModel):
     summary: str
     json_url: str
@@ -47,7 +47,7 @@ class ProcessAudioRequest(BaseModel):
     file_url: HttpUrl
     user_id: str
 
-# Helper functions
+# Helpers
 def download_file(file_url: str, dest_path: str):
     logger.info(f"Downloading file from {file_url}")
     try:
@@ -69,6 +69,7 @@ def validate_file_size(file_path: str):
         raise HTTPException(status_code=400, detail=f"File too large: {file_size_mb:.2f} MB")
 
 def generate_public_url(sub_path: str) -> str:
+    # هنا مهم جداً ما تضيفش /static مرتين
     return f"{BASE_URL}/static/{sub_path}"
 
 # Main endpoint
@@ -134,7 +135,7 @@ async def process_audio(request: ProcessAudioRequest = Body(...)):
         if os.path.exists(temp_path):
             os.remove(temp_path)
 
-# Serve output files
+# Serve output files (optional if using StaticFiles)
 @app.get("/outputs/json/{filename}")
 async def get_json_file(filename: str):
     file_path = os.path.join(JSON_DIR, filename)