Update app.py

app.py

@@ -24,17 +24,11 @@ import time
 
 from huggingface_hub import hf_hub_download
 
-
 #hf_hub_download(repo_id="CogSphere/aCogSphere", filename="./reviews.csv")
 
 from huggingface_hub import login
 from datasets import load_dataset
 
-from gradio_client import Client
-
-#dataset = load_dataset("csv", data_files="./data.csv")
-
-
 DB_FILE = "./reviewsitrg.db"
 
 TOKEN = os.environ.get('HF_KEY')
@@ -99,11 +93,13 @@ def ccogsphere(name: str, rate: str, celsci: str):
 					  "Views" : [500, 2000, 540, 300, 200], 
 					  "Duration" : [30, 20, 70, 35, 22]})
         name1=name.split()
-        nam=name1[0]
-        mess=name #name1[1] #temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0
-        if nam==None:
+        try:
+            nam=name1[0]
+            mess=name
+            if name[1]==None:
+                nam="you wrote no messages..."
                 mess="No messages..."
-        else:
+        except:
             nam="No name, write your name followed by a message"
             mess="No messages, write your name followed by a message"
         celscix2="End"
@@ -186,9 +182,7 @@ def load_data2():
     db = sqlite3.connect(DB_FILE)
     reviews2, total_reviews2 = get_latest_reviews2(db)
     db.close()
-    return reviews2, total_reviews2
-def echo(message, history):
-    return message    
+    return reviews2, total_reviews2 
 css="footer {visibility: hidden}"
 # Applying style to highlight the maximum value in each row
 #styler = df.style.highlight_max(color = 'lightgreen', axis = 0)
@@ -257,5 +251,5 @@ scheduler2.start()
 scheduler3 = BackgroundScheduler()
 scheduler3.add_job(func=backup_db_csv, trigger="interval", seconds=3666)
 scheduler3.start()
-demo.queue()
+
 demo.launch()