Update app.py

app.py

@@ -47,6 +47,15 @@ model_x = Qwen2_5_VLForConditionalGeneration.from_pretrained(
     torch_dtype=torch.float16
 ).to(device).eval()
 
+# Load typhoon-ocr-3b
+MODEL_ID_T = "scb10x/typhoon-ocr-3b"
+processor_t = AutoProcessor.from_pretrained(MODEL_ID_T, trust_remote_code=True)
+model_t = Qwen2_5_VLForConditionalGeneration.from_pretrained(
+    MODEL_ID_T,
+    trust_remote_code=True,
+    torch_dtype=torch.float16
+).to(device).eval()
+
 # Load olmOCR-7B-0225-preview
 MODEL_ID_O = "allenai/olmOCR-7B-0225-preview"
 processor_o = AutoProcessor.from_pretrained(MODEL_ID_O, trust_remote_code=True)
@@ -96,6 +105,9 @@ def generate_image(model_name: str, text: str, image: Image.Image,
     elif model_name == "olmOCR-7B-0225":
         processor = processor_o
         model = model_o
+    elif model_name == "typhoon-ocr-3b":
+        processor = processor_t
+        model = model_t
     else:
         yield "Invalid model selected.", "Invalid model selected."
         return
@@ -149,6 +161,9 @@ def generate_video(model_name: str, text: str, video_path: str,
     elif model_name == "olmOCR-7B-0225":
         processor = processor_o
         model = model_o
+    elif model_name == "typhoon-ocr-3b":
+        processor = processor_t
+        model = model_t
     else:
         yield "Invalid model selected.", "Invalid model selected."
         return
@@ -260,16 +275,18 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                 markdown_output = gr.Markdown(label="Formatted Result (Result.Md)")
 
             model_choice = gr.Radio(
-                choices=["DREX-062225-exp", "VIREX-062225-exp", "olmOCR-7B-0225"],
+                choices=["DREX-062225-exp", "VIREX-062225-exp", "typhoon-ocr-3b", "olmOCR-7B-0225"],
                 label="Select Model",
                 value="DREX-062225-exp"
             )
 
-            gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/prithivMLmods/Doc-VLMs/discussions)")
+            gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/prithivMLmods/Doc-VLMs/discussions)")          
             gr.Markdown("> [DREX-062225-exp](https://huggingface.co/prithivMLmods/DREX-062225-exp): the drex-062225-exp (document retrieval and extraction expert) model is a specialized fine-tuned version of docscopeocr-7b-050425-exp, optimized for document retrieval, content extraction, and analysis recognition. built on top of the qwen2.5-vl architecture.")
             gr.Markdown("> [VIREX-062225-exp](https://huggingface.co/prithivMLmods/VIREX-062225-exp): the virex-062225-exp (video information retrieval and extraction expert - experimental) model is a fine-tuned version of qwen2.5-vl-7b-instruct, specifically optimized for advanced video understanding, image comprehension, sense of reasoning, and natural language decision-making through cot reasoning.")
+            gr.Markdown("> [typhoon-ocr-3b](https://huggingface.co/scb10x/typhoon-ocr-3b): a bilingual document parsing model built specifically for real-world documents in thai and english, inspired by models like olmocr, based on qwen2.5-vl-instruction. this model is intended to be used with a specific prompt only.")
             gr.Markdown("> [olmOCR-7B-0225](https://huggingface.co/allenai/olmOCR-7B-0225-preview): the olmocr-7b-0225-preview model is based on qwen2-vl-7b, optimized for document-level optical character recognition (ocr), long-context vision-language understanding, and accurate image-to-text conversion with mathematical latex formatting. designed with a focus on high-fidelity visual-textual comprehension.")
-
+            gr.Markdown(">[!note] all the models in space are not guaranteed to perform well in video inference use cases.")  
+    
     image_submit.click(
         fn=generate_image,
         inputs=[model_choice, image_query, image_upload, max_new_tokens, temperature, top_p, top_k, repetition_penalty],