Update app.py

app.py

@@ -5,6 +5,7 @@ from transformers import pipeline
 from sklearn.metrics.pairwise import cosine_similarity
 import numpy as np
 import os
+from huggingface_hub import upload_file
 
 # === Custom PUP-themed CSS ===
 PUP_Themed_css = """
@@ -49,6 +50,24 @@ if os.path.exists(feedback_path) and os.path.getsize(feedback_path) > 0:
         except json.JSONDecodeError:
             feedback_data = []
 
+# === Hugging Face Upload ===
+def upload_feedback_to_hf():
+    hf_token = os.getenv("PUP_AI_Chatbot_Token")  # Access the token from environment variables
+    if not hf_token:
+        raise ValueError("Hugging Face token not found in environment variables!")
+    
+    try:
+        upload_file(
+            path_or_fileobj=feedback_path,
+            path_in_repo="feedback.json",
+            repo_id="oceddyyy/University_Inquiries_Feedback",  # Replace with your actual HF dataset repo ID
+            repo_type="dataset",
+            token=hf_token
+        )
+        print("Feedback uploaded to Hugging Face successfully.")
+    except Exception as e:
+        print(f"Error uploading feedback to HF: {e}")
+
 # === Chatbot Response Function ===
 def chatbot_response(query, chat_history):
     query_embedding = embedding_model.encode([query], convert_to_tensor=True)
@@ -84,7 +103,6 @@ def chatbot_response(query, chat_history):
         return "", chat_history, gr.update(visible=True)
 
     prompt = (
-        f"The following is an official university handbook statement:\n"
         f"\"{matched_a}\"\n\n"
         f"Please explain this to a student in a short, natural, and easy-to-understand way. "
         f"Use simple words, and do not add new information."
@@ -140,6 +158,8 @@ def record_feedback(feedback, chat_history):
         if feedback_questions:
             feedback_embeddings = embedding_model.encode(feedback_questions, convert_to_tensor=True)
 
+        upload_feedback_to_hf()  # Upload feedback to Hugging Face after saving
+
     return gr.update(visible=False)
 
 # === Gradio UI ===