Update app.py

app.py

@@ -30,8 +30,17 @@ if uploaded_file is not None:
     report = ProfileReport(df, explorative=True)
     st.header("Data profiling")
     st.write("Data distribution:")
-    st.markdown(report)
+    #st.markdown(report)
 
+    # Display report:
+    report.to_file("./index.html")
+
+    path_or_fileobj ="./index.html"
+
+    # Streamlit magic:
+    report
+
+    
 # Download link for example data
 example_csv = """name,age,income
 Alice,25,50000
@@ -41,3 +50,32 @@ csv_filename = "example.csv"
 b64 = base64.b64encode(example_csv.encode()).decode()
 href = f'<a href="data:file/csv;base64,{b64}" download="{csv_filename}">Download example data</a>'
 st.markdown(href, unsafe_allow_html=True)
+
+# HuggingFace Hub Demo - Model Cards from Template
+from pathlib import Path
+from huggingface_hub import ModelCard, ModelCardData
+
+# Define your jinja template
+template_text = """
+---
+{{ card_data }}
+---
+
+# Model Card for MyCoolModel
+
+This model does this and that.
+
+This model was created by [@{{ author }}](https://hf.co/{{author}}).
+""".strip()
+
+# Write the template to a file
+Path('custom_template.md').write_text(template_text)
+
+# Define card metadata
+card_data = ModelCardData(language='en', license='mit', library_name='keras')
+
+# Create card from template, passing it any jinja template variables you want.
+# In our case, we'll pass author
+card = ModelCard.from_template(card_data, template_path='custom_template.md', author='nateraw')
+card.save('my_model_card_1.md')
+print(card)