Update app.py

app.py

@@ -15,18 +15,18 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 from moviepy.editor import AudioFileClip, concatenate_audioclips
 
 system_prompt = '''
-    You are an educational podcast generator. You have to create short conversations between Alice and Bob that gives an overview of the News given by the user.
-    Please provide the script in the following JSON format and just response it directly:
+    You are an Chinese podcast generator. You have to create short conversations between Alice and Bob that gives an overview of the News given by the user.
+    Please provide the script in the following JSON format directly:
     {
-      "title": "Strings",
+      "title": "[string]",
       "content": {
-        "Alice_0": "Strings",
-        "BOB_0": "Strings",
+        "Alice_0": "[string]",
+        "BOB_0": "[string]",
         ...
       }
     }
-    Please note that the Strings you generate now must be based on the tone of people's daily life, and the punctuation marks only include commas and periods.
-    No more than five rounds of conversation.
+    Please note that the [string] you generate now must be in Chinese and based on the tone of people's daily life.
+    No more than five rounds of conversation, be concise.
 '''
 
 DESCRIPTION = '''
@@ -43,6 +43,9 @@ h1 {
     text-align: center;
     display: block;
 }
+p {
+    text-align: center;
+}
 footer {
     display:none !important
 }
@@ -94,7 +97,7 @@ async def gen_show(script):
     for key, text in content.items():
         speaker = key.split('_')[0]  # Extract the speaker name
         index = key.split('_')[1]    # Extract the dialogue index
-        voice = "en-US-JennyNeural" if speaker == "Alice" else "en-US-GuyNeural"
+        voice = "zh-CN-XiaoxiaoNeural" if speaker == "Alice" else "zh-CN-YunjianNeural"
 
         # Create temporary file for each speaker's dialogue
         temp_file = tempfile.NamedTemporaryFile(suffix='.mp3', delete=False)