Update app.py

app.py

@@ -2,7 +2,9 @@ import pandas as pd
 import gradio as gr
 import os
 
-def compare_csv_files(max_num):
+def compare_csv_files():
+    max_num = 10
+    
     df1 = pd.read_csv("fish-speech-1.5.csv")
     df2 = pd.read_csv("fish-speech-1.4.csv")
     
@@ -35,10 +37,10 @@ def compare_csv_files(max_num):
     """
     
     def get_audio_html(uuid):
-        file_1_5 = os.path.join("fish-speech-1.5", f"{uuid}.wav")
-        file_1_4 = os.path.join("fish-speech-1.4", f"{uuid}.wav")
-        audio_1_5 = f'<audio controls src="{file_1_5}"></audio>' if os.path.exists(file_1_5) else "Missing Audio"
-        audio_1_4 = f'<audio controls src="{file_1_4}"></audio>' if os.path.exists(file_1_4) else "Missing Audio"
+        file_1_5 = f"fish-speech-1.5/{uuid}.wav"
+        file_1_4 = f"fish-speech-1.4/{uuid}.wav"
+        audio_1_5 = f'<audio controls src="https://huggingface.co/spaces/None1145/Fish-Speech-Benchmark/resolve/main/{file_1_5}"></audio>' if os.path.exists(file_1_5) else "Missing Audio"
+        audio_1_4 = f'<audio controls src="https://huggingface.co/spaces/None1145/Fish-Speech-Benchmark/resolve/main/{file_1_4}"></audio>' if os.path.exists(file_1_4) else "Missing Audio"
         return audio_1_5, audio_1_4
     
     merged_df["Audio_1.5"], merged_df["Audio_1.4"] = zip(*merged_df["SourceText"].apply(get_audio_html))
@@ -53,10 +55,9 @@ def compare_csv_files(max_num):
     
     return result_html
 
-max_num = gr.Number(value=10)
 gr.Interface(
     fn=compare_csv_files,
-    inputs=[max_num],
+    inputs=None,
     outputs="html",
     title="Fish Speech Benchmark",
     description="This is a non-official model performance test from Fish Speech / Whisper Base / More data will be added later (not too much)"