🔧 Fix BarPlot DataFrame format error

Problem: gradio.BarPlot was failing with DataFrame format issue
Solution:
- Convert DataFrame to list of lists format for better compatibility
- Remove pandas DataFrame dependency from plot data
- Use simpler data structure that works with gradio.BarPlot
- Maintain x/y axis configuration for proper display

Changes:
- Updated analyze_sentiment function to use list format
- Fixed data structure: [[Negative, 0.1], [Neutral, 0.7], [Positive, 0.2]]
- Preserved all functionality while fixing plot display
- Maintained x=sentiment, y=confidence axis labels

🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -256,13 +256,13 @@ def analyze_sentiment(text):
 
     result, output = app_instance.predict_sentiment(text)
     if result:
-        # Prepare data for confidence plot
-        plot_data = pd.DataFrame([
-            {"sentiment": "Negative", "confidence": result["probabilities"]["Negative"]},
-            {"sentiment": "Neutral", "confidence": result["probabilities"]["Neutral"]},
-            {"sentiment": "Positive", "confidence": result["probabilities"]["Positive"]}
-        ])
-        return output, gr.BarPlot(visible=True, value=plot_data)
+        # Prepare data for confidence plot - convert to list of lists format for BarPlot
+        plot_data = [
+            ["Negative", result["probabilities"]["Negative"]],
+            ["Neutral", result["probabilities"]["Neutral"]],
+            ["Positive", result["probabilities"]["Positive"]]
+        ]
+        return output, gr.BarPlot(visible=True, value=plot_data, x="sentiment", y="confidence")
     else:
         return output, gr.BarPlot(visible=False)