Update app.py

app.py

@@ -214,7 +214,7 @@ def save_feedback(query, response, feedback, comment=""):
     
     # Create new data from current feedback
     new_data = pd.DataFrame([[query, response, feedback, comment]], columns=["Query", "Response_Generated", "Feedback", "Comment"])
-    
+
     # Check if the feedback file exists and load it, otherwise create an empty dataframe
     if os.path.exists(feedback_file):
         # If file exists, load the existing data
@@ -233,20 +233,11 @@ def save_feedback(query, response, feedback, comment=""):
 
     # Ensure the repo exists or create one
     repo_name = "AvocadoMuffin/Chat_Feedback_Data"
-    
     try:
-        # Check if the repo exists using HfApi
-        hf_api = HfApi()
-        hf_api.dataset_info(repo_name)  # Try to fetch the dataset info
-        print("Dataset repo already exists!")
-    except Exception:
-        # Repo does not exist, create it
-        try:
-            create_repo(repo_name, repo_type="dataset", exist_ok=True)  # Creates the repo if it doesn't exist
-            print("Dataset repo created!")
-        except Exception as e:
-            print(f"Error creating the repo: {e}")
-
+        create_repo(repo_name, repo_type="dataset", exist_ok=True)  # Creates the repo if it doesn't exist
+    except Exception as e:
+        print(f"Error creating the repo: {e}")
+    
     # Push the dataset to Hugging Face Hub
     dataset.push_to_hub(repo_name)