fixed requirements.txt

app.py

@@ -7,16 +7,15 @@ app = FastAPI()
 @app.get("/")
 def greet_json():
     # Load model and processor from Hugging Face
+    print("Loading model and processor...")
     processor = TrOCRProcessor.from_pretrained('tjoab/latex_finetuned')
     model = VisionEncoderDecoderModel.from_pretrained('tjoab/latex_finetuned')
 
-    paths = "./"
-    
     # Load all images as a batch
-    images = [open_PIL_image(path) for path in paths]
+    sample_image = open_PIL_image("sample.png")
 
     # Preprocess the images 
-    preproc_image = processor.image_processor(images=images, return_tensors="pt").pixel_values
+    preproc_image = processor.image_processor(images=[sample_image], return_tensors="pt").pixel_values
 
     # Generate and decode the tokens
     # NOTE: max_length default value is very small, which often results in truncated inference if not set