Update app.py

app.py

@@ -34,22 +34,16 @@ logging.basicConfig(
 logger = logging.getLogger(__name__)
 
 # Set up environment
-if os.path.exists("/tmp"):
-    OUTPUT_DIR = "/tmp/outputs"  # Use /tmp for Huggingface Spaces
-else:
-    OUTPUT_DIR = os.path.join(os.getcwd(), "outputs")  # Fallback for local dev
+OUTPUT_DIR = os.path.join(os.getcwd(), "outputs")  # Fallback for local dev
 os.makedirs(OUTPUT_DIR, exist_ok=True)
 logger.info(f"Using output directory: {OUTPUT_DIR}")
 os.environ["COQUI_TOS_AGREED"] = "1"
 
 # Initialize TTS model at the top
-try:
-    device = "cuda" if torch.cuda.is_available() else "cpu"
-    tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device)
-    logger.info("TTS model initialized on %s", device)
-except Exception as e:
-    logger.error("Failed to initialize TTS model: %s", str(e))
-    tts = None
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device)
+logger.info("TTS model initialized on %s", device)
 
 # Define Pydantic model for slide data
 class Slide(BaseModel):
@@ -1148,4 +1142,4 @@ with gr.Blocks(title="Agent Feynman") as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(allowed_paths=[OUTPUT_DIR], max_file_size="5mb")
+    demo.launch(allowed_paths=[OUTPUT_DIR])