Updated app.py and added gradio

app.py

@@ -1,3 +1,4 @@
+import gradio as gr
 import os
 import re
 import json
@@ -490,3 +491,34 @@ if __name__ == "__main__":
             print(f"Could not evaluate answer similarity: {e}")
 
     print("Session ended.")
+
+
+# Initialize analyzer once
+analyzer = AdvancedPDFAnalyzer()
+documents = analyzer.extract_text_with_metadata("example.pdf")  # Change path if needed
+
+def ask_question_gradio(question: str):
+    if not question.strip():
+        return "Please enter a valid question."
+    try:
+        result = analyzer.answer_question(question, documents)
+        answer = result['answer']
+        confidence = result['confidence']
+        explanation = "\n\n".join(
+            f"🔹 {concept}: {desc}"
+            for concept, desc in result.get("explanations", {}).get("explanations", {}).items()
+        )
+        return f"📌 **Answer**: {answer}\n\n🔒 **Confidence**: {confidence:.2f}\n\n📘 **Explanations**:\n{explanation}"
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+# Gradio Interface
+demo = gr.Interface(
+    fn=ask_question_gradio,
+    inputs=gr.Textbox(label="Ask a question about the PDF"),
+    outputs=gr.Markdown(label="Answer"),
+    title="Quandans AI - Ask Questions",
+    description="Enter a question based on the loaded PDF document. The system will provide an answer with confidence and concept explanations."
+)
+
+demo.launch()