Improved status messages using toasts

app.py

@@ -178,22 +178,20 @@ def call_function(model_name):
     return transcript
 
 def transcribe_audio():
-    with st.spinner("🎯 Transcribing audio... this may take up to 30 seconds"):
-        models_list = ["Ori Apex", "Ori Apex XT", "deepgram", "Ori Swift", "Ori Prime","azure"]
-        model1_name, model2_name = random.sample(models_list, 2)
+    models_list = ["Ori Apex", "Ori Apex XT", "deepgram", "Ori Swift", "Ori Prime","azure"]
+    model1_name, model2_name = random.sample(models_list, 2)
 
-        st.session_state.option_1_model_name = model1_name
-        st.session_state.option_2_model_name = model2_name
+    st.session_state.option_1_model_name = model1_name
+    st.session_state.option_2_model_name = model2_name
 
-        time_1 = time.time()
-        transcript1 = call_function(model1_name)
-        time_2 = time.time()
-        transcript2 = call_function(model2_name)
-        time_3 = time.time()
-
-        st.session_state.option_2_response_time = round(time_3 - time_2,3)
-        st.session_state.option_1_response_time = round(time_2 - time_1,3)
+    time_1 = time.time()
+    transcript1 = call_function(model1_name)
+    time_2 = time.time()
+    transcript2 = call_function(model2_name)
+    time_3 = time.time()
 
+    st.session_state.option_2_response_time = round(time_3 - time_2,3)
+    st.session_state.option_1_response_time = round(time_2 - time_1,3)
 
     return transcript1, transcript2
 
@@ -212,6 +210,7 @@ def reset_state():
 
 def on_option_1_click():
     if st.session_state.transcribed and not st.session_state.option_selected:
+        st.toast("Saving and loading results... please wait",icon="💾")
         st.session_state.option_1_model_name_state = f"👑 {st.session_state.option_1_model_name} 👑"
         st.session_state.option_2_model_name_state = f"👎 {st.session_state.option_2_model_name} 👎"
         st.session_state.choice = f"You chose Option 1. Option 1 was {st.session_state.option_1_model_name} Option 2 was {st.session_state.option_2_model_name}"
@@ -227,6 +226,7 @@ def on_option_1_click():
 
 def on_option_2_click():
     if st.session_state.transcribed and not st.session_state.option_selected:
+        st.toast("Saving and loading results... please wait",icon="💾")
         st.session_state.option_2_model_name_state = f"👑 {st.session_state.option_2_model_name} 👑"
         st.session_state.option_1_model_name_state = f"👎 {st.session_state.option_1_model_name} 👎"
         st.session_state.choice = f"You chose Option 2. Option 1 was {st.session_state.option_1_model_name} Option 2 was {st.session_state.option_2_model_name}"
@@ -242,6 +242,7 @@ def on_option_2_click():
 
 def on_option_both_click():
     if st.session_state.transcribed and not st.session_state.option_selected:
+        st.toast("Saving and loading results... please wait",icon="💾")
         st.session_state.option_2_model_name_state = f"👑 {st.session_state.option_2_model_name} 👑"
         st.session_state.option_1_model_name_state = f"👑 {st.session_state.option_1_model_name} 👑"
         st.session_state.choice = f"You chose Prefer both. Option 1 was {st.session_state.option_1_model_name} Option 2 was {st.session_state.option_2_model_name}"
@@ -258,6 +259,7 @@ def on_option_both_click():
 
 def on_option_none_click():
     if st.session_state.transcribed and not st.session_state.option_selected:
+        st.toast("Saving and loading results... please wait",icon="💾")
         st.session_state.option_1_model_name_state = f"👎 {st.session_state.option_1_model_name} 👎"
         st.session_state.option_2_model_name_state = f"👎 {st.session_state.option_2_model_name} 👎"
         st.session_state.choice = f"You chose none option. Option 1 was {st.session_state.option_1_model_name} Option 2 was {st.session_state.option_2_model_name}"
@@ -274,6 +276,7 @@ def on_option_none_click():
 
 def on_click_transcribe():
     if st.session_state.has_audio:
+        st.toast('Transcribing audio... this may take up to 30 seconds',icon="🎯")
         option_1_text, option_2_text = transcribe_audio(
                 )
         st.session_state.option_1 = option_1_text
@@ -285,6 +288,7 @@ def on_click_transcribe():
 
 def on_random_click():
     reset_state()
+    st.toast("Fetching random audio... please wait",icon="🎲")
     fetch_audio_payload = {"task": "fetch_audio"}
     array, sampling_rate, filepath = send_task(fetch_audio_payload)
     st.session_state.audio = {"data":array,"sample_rate":sampling_rate,"format":"audio/wav"}
@@ -359,7 +363,6 @@ def main():
             with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file:
                 tmp_file.write(audio_bytes)
                 os.makedirs(TEMP_DIR, exist_ok=True)
-                # s3_client.put_object(Bucket=os.getenv('AWS_BUCKET_NAME'), Key=f"{os.getenv('AUDIOS_KEY')}/{tmp_file.name.split('/')[-1]}", Body=audio_bytes)
             st.session_state.audio_path = tmp_file.name
             st.session_state.option_selected = None
 

pages/scoreboard.py

@@ -171,23 +171,23 @@ def create_metric_container(label, value, full_name=None):
             st.markdown(f"<h3 style='margin-top: 0;'>{value}</h3>", unsafe_allow_html=True)
 
 def on_refresh_click():
-    with st.spinner("Refreshing data... please wait"):
-        with fs.open(SAVE_PATH, 'rb') as f:
-            st.session_state.df = pd.read_csv(f)
+    st.toast("Refreshing data... please wait",icon="🔄")
+    with fs.open(SAVE_PATH, 'rb') as f:
+        st.session_state.df = pd.read_csv(f)
 
-        try:
-            with fs.open(ELO_JSON_PATH,'r') as f:
-                st.session_state.elo_json = json.load(f)
-        except Exception as e:
-            logger.error("Error while reading elo json file %s",e)
-            st.session_state.elo_json = None
+    try:
+        with fs.open(ELO_JSON_PATH,'r') as f:
+            st.session_state.elo_json = json.load(f)
+    except Exception as e:
+        logger.error("Error while reading elo json file %s",e)
+        st.session_state.elo_json = None
 
-        try:
-            with fs.open(ELO_CSV_PATH,'rb') as f:
-                st.session_state.elo_df = pd.read_csv(f)
-        except Exception as e:
-            logger.error("Error while reading elo csv file %s",e)
-            st.session_state.elo_df = None
+    try:
+        with fs.open(ELO_CSV_PATH,'rb') as f:
+            st.session_state.elo_df = pd.read_csv(f)
+    except Exception as e:
+        logger.error("Error while reading elo csv file %s",e)
+        st.session_state.elo_df = None
 
 def dashboard():
     st.title('Model Arena Scoreboard')
@@ -204,7 +204,7 @@ def dashboard():
             elo_df = pd.read_csv(f)
             st.session_state.elo_df = elo_df
 
-    st.button("Refresh",on_click=on_refresh_click,key="refresh_btn")
+    st.button("🔄 Refresh",on_click=on_refresh_click,key="refresh_btn")
 
     if len(st.session_state.df) != 0:
         metrics = calculate_metrics(st.session_state.df)