Update app.py

app.py

@@ -123,6 +123,13 @@ model_n = Qwen2_5_VLForConditionalGeneration.from_pretrained(
     MODEL_ID_N, trust_remote_code=True, torch_dtype=torch.float16
 ).to(device).eval()
 
+# --- LMM-R1-MGT-PerceReason ---
+MODEL_ID_F = "VLM-Reasoner/LMM-R1-MGT-PerceReason"
+processor_f = AutoProcessor.from_pretrained(MODEL_ID_F, trust_remote_code=True)
+model_f = Qwen2_5_VLForConditionalGeneration.from_pretrained(
+    MODEL_ID_F, trust_remote_code=True, torch_dtype=torch.float16
+).to(device).eval()
+
 # --- PDF Generation and Preview Utility Function ---
 def generate_and_preview_pdf(image: Image.Image, text_content: str, font_size: int, line_spacing: float, alignment: str, image_size: str):
     """
@@ -232,6 +239,7 @@ def process_document_stream(
     elif model_name == "Nanonets-OCR-s(ocr)": processor, model = processor_a, model_a
     elif model_name == "Megalodon-OCR-Sync-0713(ocr)": processor, model = processor_x, model_x
     elif model_name == "Qwen2.5-VL-3B-Abliterated-Caption-it(caption)": processor, model = processor_n, model_n
+    elif model_name == "LMM-R1-MGT-PerceReason(reason)": processor, model = processor_f, model_f 
     else:
         yield "Invalid model selected.", ""
         return
@@ -289,7 +297,8 @@ def create_gradio_interface():
             with gr.Column(scale=1):
                 model_choice = gr.Dropdown(
                     choices=["LFM2-VL-450M(fast)", "LFM2-VL-1.6B(fast)", "SmolVLM-Instruct-250M(smol)", "Moondream2(vision)", "ShotVL-3B(cinematic)", "Megalodon-OCR-Sync-0713(ocr)", 
-                             "VLAA-Thinker-Qwen2VL-2B(reason)", "MonkeyOCR-pro-1.2B(ocr)", "Qwen2.5-VL-3B-Abliterated-Caption-it(caption)", "Nanonets-OCR-s(ocr)"],
+                             "VLAA-Thinker-Qwen2VL-2B(reason)", "MonkeyOCR-pro-1.2B(ocr)", "Qwen2.5-VL-3B-Abliterated-Caption-it(caption)", "Nanonets-OCR-s(ocr)",
+                             "LMM-R1-MGT-PerceReason(reason)"],
                     label="Select Model", value= "LFM2-VL-450M(fast)"
                 )
                 prompt_input = gr.Textbox(label="Query Input", placeholder="✦︎ Enter your query", value="Describe the image!")