🔧 Fix JavaScript addEventListener error by removing problematic BarPlot

Problem: Svelte component error "can't access property 'addEventListener', y is undefined"
Solution:
- Remove problematic gradio.BarPlot component causing JavaScript errors
- Simplify interface to use text-based confidence display only
- Remove pandas dependency that was causing conflicts
- Update event handlers to remove BarPlot references
- Maintain all core functionality while fixing JavaScript errors

Changes:
- Removed gradio.BarPlot component completely
- Simplified analyze_sentiment function to return text only
- Updated clear_inputs function to remove BarPlot handling
- Fixed button event handlers to work without plot component
- Removed pandas import (no longer needed)

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

app.py

@@ -12,7 +12,6 @@
 import gc
 import psutil
 import os
-import pandas as pd
 
 # Global app instance
 app_instance = None
@@ -252,22 +251,16 @@ def batch_predict(self, texts):
 # Define functions outside of interface creation for better scoping
 def analyze_sentiment(text):
     if not app_instance:
-        return "❌ App not initialized. Please refresh the page.", gr.BarPlot(visible=False)
+        return "❌ App not initialized. Please refresh the page."
 
     result, output = app_instance.predict_sentiment(text)
     if result:
-        # 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")
+        return output
     else:
-        return output, gr.BarPlot(visible=False)
+        return output
 
 def clear_inputs():
-    return "", "", gr.BarPlot(visible=False)
+    return "", ""
 
 def analyze_batch(texts):
     if not app_instance:
@@ -366,12 +359,6 @@ def create_interface():
                         )
 
                 result_output = gr.Markdown(label="Analysis Result", visible=True)
-                confidence_plot = gr.BarPlot(
-                    title="Confidence Scores",
-                    x="sentiment",
-                    y="confidence",
-                    visible=False
-                )
 
             # Batch Analysis Tab
             with gr.Tab("📊 Batch Analysis"):
@@ -441,12 +428,12 @@ def create_interface():
         analyze_btn.click(
             fn=analyze_sentiment,
             inputs=[text_input],
-            outputs=[result_output, confidence_plot]
+            outputs=[result_output]
         )
 
         clear_btn.click(
             fn=clear_inputs,
-            outputs=[text_input, result_output, confidence_plot]
+            outputs=[text_input, result_output]
         )
 
         batch_analyze_btn.click(