Revert "add api endpoint"

This reverts commit 37242123731e69e8b219f3fa3b23ffeae6c4a510.

app.py

@@ -16,10 +16,7 @@ from trellis.representations import Gaussian, MeshExtractResult
 from trellis.utils import render_utils, postprocessing_utils
 
 import logging
-from fastapi import FastAPI, File, UploadFile
-from fastapi.responses import JSONResponse, FileResponse
-import io
-import base64
+
 # Configure logging
 logging.basicConfig(
     level=logging.INFO,
@@ -267,67 +264,6 @@ with gr.Blocks() as demo:
     )
     
 
-# Access FastAPI app from Gradio
-app = gr.routes.App.get_app()
-
-@app.post("/api/image_to_glb")
-async def process_image_endpoint(
-    image: UploadFile = File(...),
-    seed: int = 0,
-    randomize_seed: bool = True,
-    ss_guidance_strength: float = 7.5,
-    ss_sampling_steps: int = 12,
-    slat_guidance_strength: float = 3.0,
-    slat_sampling_steps: int = 12
-):
-    """
-    API Endpoint to process an image and return a GLB file.
-
-    Args:
-        image (UploadFile): The image file.
-        seed (int): Seed for generation.
-        randomize_seed (bool): Whether to randomize the seed.
-        ss_guidance_strength (float): Guidance strength for stage 1.
-        ss_sampling_steps (int): Sampling steps for stage 1.
-        slat_guidance_strength (float): Guidance strength for stage 2.
-        slat_sampling_steps (int): Sampling steps for stage 2.
-
-    Returns:
-        FileResponse: The generated GLB file as a downloadable attachment.
-    """
-    try:
-        # Read and preprocess the image
-        contents = await image.read()
-        pil_image = Image.open(io.BytesIO(contents)).convert("RGBA")
-        trial_id, processed_image = preprocess_image(pil_image)
-        
-        # Generate 3D asset
-        state, video_path = image_to_3d(
-            trial_id, seed, randomize_seed,
-            ss_guidance_strength, ss_sampling_steps,
-            slat_guidance_strength, slat_sampling_steps
-        )
-        
-        # Extract GLB
-        glb_path, _ = extract_glb(state, mesh_simplify=0.95, texture_size=1024)  # You can parametrize these
-        
-        # Ensure the GLB file exists
-        if not os.path.exists(glb_path):
-            logger.error(f"GLB file not found at path: {glb_path}")
-            return JSONResponse(status_code=500, content={"error": "GLB file generation failed."})
-        
-        # Return the GLB file as a downloadable response
-        return FileResponse(
-            path=glb_path,
-            media_type='model/gltf-binary',
-            filename=f"{trial_id}.glb"
-        )
-    
-    except Exception as e:
-        logger.error(f"Error in API endpoint: {e}")
-        return JSONResponse(status_code=500, content={"error": str(e)})
-
-
 # Launch the Gradio app
 if __name__ == "__main__":
     pipeline = TrellisImageTo3DPipeline.from_pretrained("JeffreyXiang/TRELLIS-image-large")