Profile report

app.py

@@ -1,7 +1,31 @@
 import gradio as gr
+import pandas as pd
+from ydata_profiling import ProfileReport
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+def generate_profile(files_path):
+    dfs = []
+    for file_path in files_path:
+        if "csv" in file_path:
+            dfs.append(pd.read_csv(file_path))
+        elif "json" in file_path:
+            dfs.append(pd.read_json(file_path))
+        elif "pq" in file_path:
+            dfs.append(pd.read_parquet(file_path))
+
+    df = pd.concat(dfs, axis=0)
+    profile = ProfileReport(df, title="Profiling Report")
+    profile_html = profile.to_html()
+    return profile_html
+
+
+inputs = gr.Files(file_types=["csv", "pq", "json"], show_label=True)
+
+iface = gr.Interface(fn=generate_profile,
+                     inputs=inputs,
+                     outputs=gr.HTML(),
+                     live=True,
+                     title="CSV Profiling Tool",
+                     description="Upload a CSV file to generate a data profiling report.",
+                     )
 iface.launch()

requirements.txt

@@ -0,0 +1,3 @@
+pandas
+ydata_profiling
+ipywidgets