fix spelling and toggling issues

main.py

@@ -299,16 +299,31 @@ def performance_filter(
     min_short_toks, max_short_toks = short_toks_slider
     min_long_toks, max_long_toks = long_toks_slider
 
-    filtered_df = filtered_df[
-        (filtered_df["Short-Form Speed"] >= min_short_speed)
-        & (filtered_df["Short-Form Speed"] <= max_short_speed)
-        & (filtered_df["Long-Form Speed"] >= min_long_speed)
-        & (filtered_df["Long-Form Speed"] <= max_long_speed)
-        & (filtered_df["Short-Form Tok/s"] >= min_short_toks)
-        & (filtered_df["Short-Form Tok/s"] <= max_short_toks)
-        & (filtered_df["Long-Form Tok/s"] >= min_long_toks)
-        & (filtered_df["Long-Form Tok/s"] <= max_long_toks)
-    ]
+    df["Short-Form Speed"] = pd.to_numeric(df["Short-Form Speed"], errors="coerce")
+    df["Long-Form Speed"] = pd.to_numeric(df["Long-Form Speed"], errors="coerce")
+    df["Short-Form Tok/s"] = pd.to_numeric(df["Short-Form Tok/s"], errors="coerce")
+    df["Long-Form Tok/s"] = pd.to_numeric(df["Long-Form Tok/s"], errors="coerce")
+
+    if "Short-Form Speed" in filtered_df.columns:
+        filtered_df = filtered_df[
+            (filtered_df["Short-Form Speed"] >= min_short_speed)
+            & (filtered_df["Short-Form Speed"] <= max_short_speed)
+        ]
+    if "Long-Form Speed" in filtered_df.columns:
+        filtered_df = filtered_df[
+            (filtered_df["Long-Form Speed"] >= min_long_speed)
+            & (filtered_df["Long-Form Speed"] <= max_long_speed)
+        ]
+    if "Short-Form Tok/s" in filtered_df.columns:
+        filtered_df = filtered_df[
+            (filtered_df["Short-Form Tok/s"] >= min_short_toks)
+            & (filtered_df["Short-Form Tok/s"] <= max_short_toks)
+        ]
+    if "Long-Form Tok/s" in filtered_df.columns:
+        filtered_df = filtered_df[
+            (filtered_df["Long-Form Tok/s"] >= min_long_toks)
+            & (filtered_df["Long-Form Tok/s"] <= max_long_toks)
+        ]
 
     return filtered_df
 
@@ -1198,7 +1213,7 @@ with gr.Blocks(css=css, theme=gr.themes.Base(font=font)) as demo:
                     """
                 ### Legend
                 - ✅ Supported: The model is supported and tested on this device.
-                - ⚠️ Failed: Either The model tests failed on this device or the Speed Factor for the test is less than 1.
+                - ⚠️ Failed: Either the model tests failed on this device or the Speed Factor for the test is less than 1.
                 - ? Not Tested: The model is supported on this device but no test information available.
                 - Not Supported: The model is not supported on this device as per the [WhisperKit configuration](https://huggingface.co/argmaxinc/whisperkit-coreml/blob/main/config.json).
                 """