add report button

app.py

@@ -68,11 +68,51 @@ class SessionChatBot:
         # Save log after full response
         self.append_to_session_log(message, response)
 
-# ---- Instantiate a new bot for each user session ----
+    def report_interaction(self):
+        if not os.path.exists(self.local_log_path):
+            return "No session log found."
+
+        with open(self.local_log_path, "r", encoding="utf-8") as f:
+            lines = f.readlines()
+
+        if not lines:
+            return "No conversation to report."
+
+        # Mark last interaction as reported
+        last_entry = json.loads(lines[-1])
+        last_entry["reported"] = True
+        lines[-1] = json.dumps(last_entry) + "\n"
+
+        # Overwrite file
+        with open(self.local_log_path, "w", encoding="utf-8") as f:
+            f.writelines(lines)
+
+        # Upload updated log to Hugging Face
+        api.upload_file(
+            path_or_fileobj=self.local_log_path,
+            path_in_repo=self.remote_log_path,
+            repo_id=DATASET_REPO,
+            repo_type="dataset",
+            token=HF_TOKEN
+        )
+        return "Interaction reported successfully."
+
+# ---- Instantiate and Share Bot Session Globally ----
+chatbot_instance = SessionChatBot()
+
 def create_chatbot():
-    return SessionChatBot().respond
+    return chatbot_instance.respond
+
+# ---- Build Gradio Interface ----
+with gr.Blocks() as demo:
+    chatbot = gr.ChatInterface(fn=create_chatbot(), title="BoundrAI")
+    report_btn = gr.Button("Report Companion Interaction")
+    status_box = gr.Textbox(label="Report Status", interactive=False)
+
+    def report():
+        return chatbot_instance.report_interaction()
 
-demo = gr.ChatInterface(fn=create_chatbot(), title="BoundrAI")
+    report_btn.click(fn=report, outputs=status_box)
 
 if __name__ == "__main__":
     demo.launch()