Update app.py

app.py

@@ -22,7 +22,6 @@ from transformers import (
     Qwen2_5_VLForConditionalGeneration,
     AutoModelForVision2Seq,
     AutoModelForImageTextToText,
-    Gemma3ForConditionalGeneration,
     AutoModel,
     AutoProcessor,
     TextIteratorStreamer,
@@ -69,7 +68,7 @@ model_c = AutoModelForVision2Seq.from_pretrained(
     MODEL_ID_C, trust_remote_code=True, torch_dtype=torch.float16, _attn_implementation="flash_attention_2"
 ).to(device).eval()
 
-MODEL_ID_G = "echo840/MonkeyOCR"
+MODEL_ID_G = "echo840/MonkeyOCR-pro-1.2B"
 SUBFOLDER = "Recognition"
 processor_g = AutoProcessor.from_pretrained(
     MODEL_ID_G, trust_remote_code=True, subfolder=SUBFOLDER
@@ -178,7 +177,7 @@ def process_document_stream(
     if model_name == "LFM2-VL-450M": processor, model = processor_m, model_m
     elif model_name == "LFM2-VL-1.6B": processor, model = processor_t, model_t
     elif model_name == "SmolVLM-Instruct-250M": processor, model = processor_c, model_c
-    elif model_name == "MonkeyOCR-Recognition": processor, model = processor_g, model_g
+    elif model_name == "MonkeyOCR-pro-1.2B": processor, model = processor_g, model_g
     elif model_name == "gemma-3-4b-it": processor, model = processor_i, model_i
     else:
         yield "Invalid model selected.", ""
@@ -236,7 +235,7 @@ def create_gradio_interface():
             # Left Column (Inputs)
             with gr.Column(scale=1):
                 model_choice = gr.Dropdown(
-                    choices=["LFM2-VL-1.6B", "LFM2-VL-450M", "SmolVLM-Instruct-250M", "gemma-3-4b-it", "Megalodon-OCR-Sync-0713"],
+                    choices=["LFM2-VL-1.6B", "LFM2-VL-450M", "SmolVLM-Instruct-250M", "gemma-3-4b-it", "MonkeyOCR-pro-1.2B"],
                     label="Select Model", value="LFM2-VL-1.6B"
                 )
                 prompt_input = gr.Textbox(label="Query Input", placeholder="✦︎ Enter your query")