Update app.py

app.py

@@ -1,15 +1,21 @@
 import gradio as gr
 import tempfile, os
-from pipeline import run_pipeline
 import pandas as pd
+from pipeline import run_pipeline
 
 DATASET_PATH = "dataset.csv"
 
 def analyze_pdf(file):
+    if file is None:
+        return {"error": "No file uploaded."}
+
+    # Save the uploaded file to a temporary folder
     with tempfile.TemporaryDirectory() as tmpdirname:
         file_path = os.path.join(tmpdirname, file.name)
         with open(file_path, "wb") as f:
             f.write(file.read())
+
+        # Run your pipeline
         results = run_pipeline(tmpdirname)
 
         # Save to dataset.csv
@@ -22,11 +28,13 @@ def analyze_pdf(file):
 
     return results.to_dict(orient="records")
 
+# Gradio interface
 iface = gr.Interface(
     fn=analyze_pdf,
-    inputs=gr.File(file_types=[".pdf"]),
-    outputs=gr.JSON(),
-    title="SC API"
+    inputs=gr.File(file_types=[".pdf"], label="Upload PDF"),
+    outputs=gr.JSON(label="Output"),
+    title="SC API",
+    description="Upload PDF files to process ESG scores."
 )
 
 iface.launch()