Update app.py

app.py

@@ -44,7 +44,8 @@ async def get_df(name: str):
     dataset = load_dataset(str, split="train")
     return dataset
     
-async def store_message(name: str, message: str) -> str:
+#def store_message(name: str, message: str) -> str:
+def store_message(name: str, message: str):
     if name and message:
         with open(DATA_FILE, "a") as csvfile:
             writer = csv.DictWriter(csvfile, fieldnames=[ "time", "message", "name", ])
@@ -59,7 +60,8 @@ async def store_message(name: str, message: str) -> str:
 
         # f=get_df(DATASET_REPO_ID)
         # print(f)
-    return commit_url
+    #return commit_url
+    return ""
 # ----------------------------------------------- For Memory
     
 mname = "facebook/blenderbot-400M-distill"
@@ -99,7 +101,8 @@ async def chat(message, history):
     history_useful = add_note_to_history(response, history_useful)
     list_history = history_useful[0].split('</s> <s>')
     history.append((list_history[-2], list_history[-1]))  
-    ret = store_message(message, response) # Save to dataset  -- uncomment with code above, create a dataset to store and add your HF_TOKEN from profile to this repo to use.
+    #ret = 
+    store_message(message, response) # Save to dataset  -- uncomment with code above, create a dataset to store and add your HF_TOKEN from profile to this repo to use.
     return history, history
     
 #with gr.Blocks() as demo:
@@ -112,9 +115,10 @@ gr.Interface(
     theme="huggingface",
     css=".footer {display:none !important}",
     inputs=["text", "state"],
-    outputs=["chatbot", "state", "text"],
+    #outputs=["chatbot", "state", "text"],
+    outputs=["chatbot", "state"],
     title=title,
     allow_flagging="never",
     description=f"Gradio chatbot backed by memory in a dataset repository.",
-    article=f"The memory dataset for saves is [{DATASET_REPO_URL}]({DATASET_REPO_URL}) 🦃Thanks!🦃 Check out HF Datasets: https://huggingface.co/spaces/awacke1/FreddysDatasetViewer  SOTA papers code and datasets on chat are here: https://paperswithcode.com/datasets?q=chat&v=lst&o=newest"
+    article=f"The memory dataset for saves is [{DATASET_REPO_URL}]({DATASET_REPO_URL}) And here: https://huggingface.co/spaces/awacke1/DatasetAnalyzer  Code and datasets on chat are here  hf  tk: https://paperswithcode.com/datasets?q=chat&v=lst&o=newest"
     ).launch(debug=True)