Improve wording

README.md

@@ -6,7 +6,7 @@ colorTo: yellow
 sdk: streamlit
 sdk_version: 1.40.1
 app_file: app.py
-pinned: true
+pinned: false
 license: apache-2.0
 header: mini
 short_description: Convert a Hugging Face model to ONNX format
@@ -21,8 +21,6 @@ This project provides a Streamlit application that converts Hugging Face models
 ## Features
 
 - **One-Click Model Conversion**: Convert Hugging Face models to ONNX format with minimal configuration
-- **Automatic Repository Management**: Seamless handling of required dependencies
-- **Comprehensive Error Handling**: Clear feedback throughout the conversion process
 - **User-Friendly Interface**: Intuitive Streamlit-based web interface
 - **Quantization Support**: Automatic model quantization for reduced size and faster inference
 

app.py

@@ -186,7 +186,7 @@ def main():
             st.link_button(f"Go to {output_model_id}", output_model_url, type="primary")
             return
 
-        st.write(f"This model will be converted and uploaded to the following URL:")
+        st.write(f"URL where the model will be converted and uploaded to:")
         st.code(output_model_url, language="plaintext")
 
         if not st.button(label="Proceed", type="primary"):