Create app.py

app.py

@@ -0,0 +1,53 @@
+import gradio as gr
+import pandas as pd
+from rpy2.robjects import pandas2ri, r
+from rpy2.robjects.packages import importr
+
+# enable pandas <-> R dataframe conversion
+pandas2ri.activate()
+
+# load R package
+eulerr = importr("eulerr")
+
+def make_venn(file):
+    try:
+        # read CSV
+        df = pd.read_csv(file.name)
+        
+        # check minimum cols
+        if df.shape[1] < 2:
+            return "CSV must contain: primary key + up to 3 category columns."
+        
+        # drop primary key
+        categories = df.columns[1:]
+        if len(categories) > 3:
+            return "Error: Only up to 3 category columns allowed!"
+        
+        # convert to R dataframe
+        rdf = pandas2ri.py2rpy(df[categories])
+        
+        # compute Euler diagram
+        fit = eulerr.euler(rdf)
+        
+        # save plot
+        out_file = "venn.png"
+        r(f"png('{out_file}', width=600, height=600)")
+        r("plot")(fit, fills=["#66c2a5", "#fc8d62", "#8da0cb"])
+        r("dev.off")()
+        
+        return out_file
+    
+    except Exception as e:
+        return f"Error: {e}"
+
+# gradio interface
+demo = gr.Interface(
+    fn=make_venn,
+    inputs=gr.File(file_types=[".csv"], label="Upload CSV"),
+    outputs=gr.Image(type="filepath", label="Euler Diagram"),
+    title="EulerR Venn Diagram Generator",
+    description="Upload a CSV with a primary key column + up to 3 category columns. Generates an Euler diagram."
+)
+
+if __name__ == "__main__":
+    demo.launch()