Create utils.py

modules/utils.py

@@ -0,0 +1,40 @@
+# modules/utils.py
+
+import pandas as pd
+
+def save_results_to_csv(sentiment_results: list, summaries: list, filepath: str = "results.csv"):
+    """
+    Save sentiment analysis and summaries into a CSV file.
+    """
+    data = []
+
+    for i, sent in enumerate(sentiment_results):
+        summary = summaries[i]["summary"] if i < len(summaries) else ""
+        data.append({
+            "Text": sent.get("text", ""),
+            "Sentiment": sent.get("label", ""),
+            "Score": sent.get("score", 0.0),
+            "Summary": summary
+        })
+
+    df = pd.DataFrame(data)
+    df.to_csv(filepath, index=False, encoding="utf-8")
+
+    return filepath
+
+
+def display_dataframe(sentiment_results: list, summaries: list):
+    """
+    Create a pandas DataFrame for displaying results inside UI.
+    """
+    data = []
+    for i, sent in enumerate(sentiment_results):
+        summary = summaries[i]["summary"] if i < len(summaries) else ""
+        data.append({
+            "Text": sent.get("text", ""),
+            "Sentiment": sent.get("label", ""),
+            "Score": sent.get("score", 0.0),
+            "Summary": summary
+        })
+
+    return pd.DataFrame(data)