upload app

app.py

@@ -572,14 +572,14 @@ def create_gradio_interface():
                              "Qwen2.5-VL-3B-Abliterated-Caption-it(caption)", "Nanonets-OCR-s(ocr)",
                              "LMM-R1-MGT-PerceReason(reason)", "OCRFlux-3B(ocr)", "TBAC-VLR1-3B(open-r1)", 
                              "SmolVLM-500M-Instruct(smol)", "llava-onevision-qwen2-0.5b-ov-hf(mini)"],
-                    label="Select Model", value= "LFM2-VL-1.6B(fast)"
+                    label="Select Model", value= "Megalodon-OCR-Sync-0713(ocr)"
                 )
                 
                 prompt_input = gr.Textbox(label="Query Input", placeholder="Enter your query here...", value="Examine the image")
                 image_input = gr.Image(label="Upload Image", type="pil", sources=['upload'], height=300)
                 
                 with gr.Accordion("Advanced Settings (PDF)", open=False):
-                    max_new_tokens = gr.Slider(minimum=512, maximum=8192, value=2048, step=256, label="Max New Tokens")
+                    max_new_tokens = gr.Slider(minimum=512, maximum=8192, value=1024, step=256, label="Max New Tokens")
                     temperature = gr.Slider(label="Temperature", minimum=0.1, maximum=4.0, step=0.1, value=0.6)
                     top_p = gr.Slider(label="Top-p (nucleus sampling)", minimum=0.05, maximum=1.0, step=0.05, value=0.9)
                     top_k = gr.Slider(label="Top-k", minimum=1, maximum=1000, step=1, value=50)