Update app.py

app.py

@@ -4,6 +4,7 @@ from datetime import datetime
 from typing import List, Dict
 
 import gradio as gr
+import plotly.graph_objects as go
 
 # --------- Heuristic Scoring Logic ---------
 
@@ -44,6 +45,27 @@ def label_from_score(score: int) -> str:
         return "Low–Medium Trust"
     return "Low Trust"
 
+def make_gauge(score: int):
+    fig = go.Figure(
+        go.Indicator(
+            mode="gauge+number",
+            value=score,
+            number={"suffix": "%"},
+            gauge={
+                "axis": {"range": [0, 100]},
+                "bar": {"color": "#4f46e5"},
+                "steps": [
+                    {"range": [0, 40], "color": "#fee2e2"},   # red-ish (low)
+                    {"range": [40, 70], "color": "#fef3c7"}, # yellow (medium)
+                    {"range": [70, 100], "color": "#dcfce7"} # green (high)
+                ],
+            },
+            domain={"x": [0, 1], "y": [0, 1]},
+        )
+    )
+    fig.update_layout(margin=dict(t=0, b=0, l=0, r=0))
+    return fig
+
 
 def analyze_text(text: str, is_ai_generated: bool):
     text = text.strip()
@@ -237,7 +259,7 @@ def analyze_text(text: str, is_ai_generated: bool):
 Label: **{label}**
 """
 
-    return overall_md, label, component_md, issues_md, suggestions_md, sentences_md
+    return overall_int, overall_md, label, component_md, issues_md, suggestions_md, sentences_md
 
 
 # --------- Gradio UI ---------
@@ -273,6 +295,7 @@ This tool estimates a **Trust Score (0–100)** based on:
             analyze_btn = gr.Button("Analyze Credibility", variant="primary")
 
         with gr.Column():
+            gauge_plot = gr.Plot(label="trust.AI Score")
             overall_out = gr.Markdown(label="Overall Trust Score")
             components_out = gr.Markdown(label="Component Breakdown")
             issues_out = gr.Markdown(label="Issues Detected")
@@ -280,15 +303,16 @@ This tool estimates a **Trust Score (0–100)** based on:
             sentences_out = gr.Markdown(label="Sentence-level Analysis")
 
     def gradio_wrapper(text, is_ai_generated):
-        overall_md, label, component_md, issues_md, suggestions_md, sentences_md = analyze_text(
+        overall_int, overall_md, label, component_md, issues_md, suggestions_md, sentences_md = analyze_text(
             text, is_ai_generated
         )
-        return overall_md, component_md, issues_md, suggestions_md, sentences_md
+        fig = make_gauge(overall_int)
+        return fig, overall_md, component_md, issues_md, suggestions_md, sentences_md
 
     analyze_btn.click(
         fn=gradio_wrapper,
         inputs=[text_input, is_ai_checkbox],
-        outputs=[overall_out, components_out, issues_out, suggestions_out, sentences_out],
+        outputs=[gauge_plot, overall_out, components_out, issues_out, suggestions_out, sentences_out],
     )
 
 if __name__ == "__main__":