Create app.py

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+from chatbot_functions import DataProcessor, Chatbot
+
+# Initialize data and chatbot
+data_processor = DataProcessor()  # loads cleaned_medquad.csv
+chatbot = Chatbot(data_processor)
+
+def chat_with_backend(message, history=None):
+    if not message.strip():
+        return "Please enter a question."
+    
+    try:
+        best_question, response, source = chatbot.get_response(message)
+        if best_question == "UNKNOWN":
+            return response
+        else:
+            return f"Matched question: {best_question}\nAnswer: {response}\nSource: {source}"
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Gradio interface
+iface = gr.ChatInterface(
+    fn=chat_with_backend,
+    title="Care Companion Chatbot",
+    description="Ask health-related questions and get reliable answers from Care Companion."
+)
+
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860, share=True, debug=True)