Update README.md

README.md

@@ -41,13 +41,18 @@ pip install "torch>=2.1" "nncf>=2.7" "transformers>=4.40.0" "onnx<1.16.2" "optim
 ```
 This command will install, among others:
 ```
-tokenizers-0.20.3
-transformers-4.46.3
-huggingface-hub-0.26.3
-openvino-tokenizers-2024.4.1.0.dev20240926
-optimum-1.23.3
-optimum-intel-1.20.1
-openvino-2024.4.1.dev20240926-16618
+tokenizers==0.20.3
+torch==2.5.1+cpu
+transformers==4.46.3
+nncf==2.14.0
+numpy==2.1.3
+onnx==1.16.1
+openvino==2024.5.0
+openvino-genai==2024.5.0.0
+openvino-telemetry==2024.5.0
+openvino-tokenizers==2024.5.0.0
+optimum==1.23.3
+optimum-intel @ git+https://github.com/huggingface/optimum-intel.git@c454b0000279ac9801302d726fbbbc1152733315
 ```
 
 
@@ -143,6 +148,25 @@ console.print(f'Generated in {delta}')
 ```
 
 
+<p align="left">
+<img src="https://github.com/fabiomatricardi/NuExtract-1.5-openvino/raw/main/logo_long.png" style="width: 600; height: auto;">
+</p>
+
+
+##  An awesome Streamlit+OpenVINO interface [![Mentioned in Awesome OpenVINO](https://awesome.re/mentioned-badge-flat.svg)](https://github.com/openvinotoolkit/awesome-openvino)
+you can find the code in [my official GitHub repository](https://github.com/fabiomatricardi/NuExtract-1.5-openvino)
+
+You can clone the repo and use the downloaded files from this Hugging Face Model
+
+Running the streamlit app will give this:
+
+<p align="left">
+<img src="https://github.com/fabiomatricardi/NuExtract-1.5-openvino/raw/main/streamlitapp.png" style="width: 600; height: auto;">
+</p>
+
+---
+
+
 ## Benchmark
 
 Zero-shot performance (English):