Reintroduce model.

app.py

@@ -38,10 +38,9 @@ except Exception:
 
 MODEL_COLUMN_NAME = "model"
 
-column_names = {MODEL_COLUMN_NAME: "Model"}
+column_names = {MODEL_COLUMN_NAME: "Model", "engine": "Engine"}
 
 leaderboard_df = pd.read_csv("benchmark.csv")  # TODO: Move to a different place, probably in the github
-leaderboard_df.loc[:, MODEL_COLUMN_NAME] = leaderboard_df[MODEL_COLUMN_NAME].apply(make_clickable_model)
 leaderboard_df.rename(columns=column_names, inplace=True)
 
 

benchmark.csv

@@ -1,9 +1,9 @@
-engine,ivrit-ai/eval-d1,ivrit-ai/saspeech,google/fleurs/he,mozilla-foundation/common_voice_17_0/he,imvladikon/hebrew_speech_kan
-faster-whisper:ivrit-ai/faster-whisper-v2-d4,0.062,0.080,0.241,0.207,0.113
-faster-whisper:ivrit-ai/faster-whisper-v2-d3-e3,0.070,0.086,0.255,0.214,0.139
-amazon-transcribe:batch,0.068,0.085,0.230,0.141,0.090
-faster-whisper:large-v2,0.080,0.098,0.266,0.233,0.164
-faster-whisper:large-v3-turbo,0.085,0.104,0.289,0.280,0.156
-amazon-transcribe:stream,0.081,0.090,0.287,0.200,0.131
-faster-whisper:large-v3,0.096,0.094,0.262,0.231,0.134
-google-speech:google-speech,0.212,0.189,0.385,0.380,0.292
+engine,model,ivrit-ai/eval-d1,ivrit-ai/saspeech,google/fleurs/he,mozilla-foundation/common_voice_17_0/he,imvladikon/hebrew_speech_kan
+faster-whisper,ivrit-ai/faster-whisper-v2-d4,0.062,0.080,0.241,0.207,0.113
+faster-whisper,ivrit-ai/faster-whisper-v2-d3-e3,0.070,0.086,0.255,0.214,0.139
+amazon-transcribe,batch,0.068,0.085,0.230,0.141,0.090
+faster-whisper,large-v2,0.080,0.098,0.266,0.233,0.164
+faster-whisper,large-v3-turbo,0.085,0.104,0.289,0.280,0.156
+amazon-transcribe,stream,0.081,0.090,0.287,0.200,0.131
+faster-whisper,large-v3,0.096,0.094,0.262,0.231,0.134
+google-speech,google-speech,0.212,0.189,0.385,0.380,0.292