Update app.py

app.py

@@ -96,10 +96,10 @@ def generate_image(model_name: str, text: str, image: Image.Image,
     """
     Generates responses using the selected model for image input.
     """
-    if model_name == "VIREX-062225-8B-exp":
+    if model_name == "VIREX-062225-7B-exp":
         processor = processor_m
         model = model_m
-    elif model_name == "DREX-062225-8B-exp":
+    elif model_name == "DREX-062225-7B-exp":
         processor = processor_x
         model = model_x
     elif model_name == "olmOCR-7B-0225":
@@ -152,10 +152,10 @@ def generate_video(model_name: str, text: str, video_path: str,
     """
     Generates responses using the selected model for video input.
     """
-    if model_name == "VIREX-062225-8B-exp":
+    if model_name == "VIREX-062225-7B-exp":
         processor = processor_m
         model = model_m
-    elif model_name == "DREX-062225-8B-exp":
+    elif model_name == "DREX-062225-7B-exp":
         processor = processor_x
         model = model_x
     elif model_name == "olmOCR-7B-0225":
@@ -275,15 +275,15 @@ 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-062225-8B-exp", "VIREX-062225-8B-exp", "Typhoon-OCR-3B", "olmOCR-7B-0225"],
+                choices=["DREX-062225-7B-exp", "olmOCR-7B-0225-preview", "VIREX-062225-7B-exp", "Typhoon-OCR-3B"],
                 label="Select Model",
-                value="DREX-062225-8B-exp"
+                value="DREX-062225-7B-exp"
             )
 
             gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/prithivMLmods/Doc-VLMs/discussions)")          
-            gr.Markdown("> [DREX-062225-8B-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-062225-8B-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("> [DREX-062225-7B-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-062225-7B-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.")