Updates

Dockerfile

@@ -1,25 +1,38 @@
-FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-devel
-ARG DEBIAN_FRONTEND=noninteractive
+# copiado do build do hugging face em  27/12/2025
 
-#RUN apt-get update && \
-#    apt-get install --no-install-recommends -y sox libsox-fmt-all curl wget gcc git git-lfs build-essential libaio-dev libsndfile1 ssh ffmpeg && \
-#    apt-get clean && apt-get -y autoremove
+FROM docker.io/library/python:3.10@sha256:ad84630de0e8b6f2ee92b4e2996b08c269efa96be13558d0233ed08a0e190606
+	
+# COPY --from=root / /
+COPY requirements.txt .
 
-RUN apt-get update
+WORKDIR /app
 
-RUN python -m pip install spaces pydantic
 
-WORKDIR /app
-COPY requirements.txt .
-RUN python -m pip install  --verbose -r requirements.txt
-RUN python -m pip cache purge
+RUN apt-get update && apt-get install -y git git-lfs ffmpeg libsm6 	libxext6 	cmake 	rsync 	libgl1 	\
+	&& rm -rf /var/lib/apt/lists/* 	\
+	&& git lfs install
+RUN pip install --no-cache-dir pip -U && pip install --no-cache-dir datasets "huggingface-hub>=0.30" "hf-transfer>=0.1.4" "protobuf<4" "click<8.1" "pydantic~=1.0"
+RUN apt-get update && 	apt-get install -y curl && 	\
+	curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && \
+	apt-get install -y nodejs && \	
+	rm -rf /var/lib/apt/lists/* && \
+	apt-get clean
 
 
+RUN --mount=target=/tmp/requirements.txt,source=requirements.txt     pip install --no-cache-dir -r /tmp/requirements.txt
+
+# instala o gradio a partir do readm!
 COPY InstallFromReadme.sh .
 COPY README.md .
 RUN chmod +x InstallFromReadme.sh
 RUN ./InstallFromReadme.sh
 
-COPY . .
+RUN pip install --no-cache-dir "uvicorn>=0.14.0" spaces
+
+
+RUN mkdir -p /home/user && ( [ -e /home/user/app ] || ln -s /app/ /home/user/app ) || true
+
+# -- o hf faz um --link.
+COPY . /app
 
 CMD ["python","app.py"]

README.md

@@ -4,9 +4,16 @@ emoji: 📉
 colorFrom: gray
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.32.1
+sdk_version: 6.2.0
 pinned: false
 app_port: 8080
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+This space contains lot of utilities to allow integrate your SQL Server 2025 with Hugging Face.  
+SQL Server 2025 was released with lot of AI support, like new vector data type, embeddings generation, support to ONNX, etc.  
+
+With this space, we can extend some capabilities of SQL 2025 brining useful info!
+
+

app.py

@@ -68,9 +68,9 @@ if not SpaceHost:
     
 with gr.Blocks() as demo:
     gr.Markdown(f"""
-        This space allow you connect SQL Server 2025 with Hugging Face to generate embeddings!
-        First, create a ZeroGPU Space that export an endpoint called embed.
-        That endpoint must accept a parameter called text.
+        This space allow you connect SQL Server 2025 with Hugging Face to generate embeddings!  
+        First, create a ZeroGPU Space that export an endpoint called /embed.  
+        That endpoint must accept a parameter called text.  
         Then, create the external model using T-SQL:
             
         ```sql 
@@ -83,19 +83,21 @@ with gr.Blocks() as demo:
             );  
         ```
         
-        If you prefer, just type the space name into field bellow and we generate the right T-SQL command for you!
+        If you prefer, just type the space name into field bellow and we generate the right T-SQL command for you!  
+        
+        You can duplicate this space to your own org and use token with CREDENTIAL parameter.  
         
     
     """)
     
     SpaceName = gr.Textbox(label="Space", submit_btn=True)
     EndpointName = gr.Textbox(value="/embed", label = "EndpointName");
-    tsqlCommand = gr.Textbox(lines=5);
+    tsqlCommand = gr.Textbox(lines=5, label = "Generated T-SQL command");
     
     
     def UpdateTsql(space):
         return f"""
-            CREATE EXTERNAL MODEL HuggingFace
+            CREATE EXTERNAL MODEL [MyHfModel] /*You can change the name here!*/
             WITH (
                   LOCATION = 'https://{SpaceHost}/v1/embeddings',
                   API_FORMAT = 'OpenAI',