update global transcript text

app.py

@@ -169,8 +169,8 @@ def format_timestamp(seconds: float, always_include_hours: bool = False, decimal
         return seconds
 
 
-def transcribe(file, task, return_timestamps):
-    outputs = pipe(file, batch_size=BATCH_SIZE, generate_kwargs={"task": task,"language": "chinese",}, return_timestamps=return_timestamps)
+def transcribe(file,  return_timestamps):
+    outputs = pipe(file, batch_size=BATCH_SIZE, generate_kwargs={"task": "transcribe","language": "chinese",}, return_timestamps=return_timestamps)
     text = outputs["text"]
     if return_timestamps:
         timestamps = outputs["chunks"]
@@ -197,7 +197,7 @@ mic_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
         gr.inputs.Audio(source="microphone", type="filepath", optional=True),
-        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+       # gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
         gr.inputs.Checkbox(default=False, label="Return timestamps"),
     ],
     outputs="text",
@@ -215,7 +215,7 @@ file_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
         gr.inputs.Audio(source="upload", optional=True, label="Audio file", type="filepath"),
-        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+       # gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
         gr.inputs.Checkbox(default=False, label="Return timestamps"),
     ],
     outputs="text",
@@ -273,6 +273,7 @@ def writenotes( LLMmodel,apikeystr,inputscript):
   #text=transcribe_text
   #openaikey.set_key(inputkey)
   #openaikey = OpenAIKeyClass(inputkey)
+  global transcribe_text
   print('ok')
   if len(inputscript)>10: #有資料表示不是來自語音辨識結果
       transcribe_text=inputscript