Update app.py

app.py

@@ -31,20 +31,6 @@ def random_name_generator():
 # Example usage:
 # print(random_name_generator())
 
-
-def outputProducer(inputVideo):
-    print(inputVideo)
-    input_file = ffmpeg.input(inputVideo)
-    name_random = random_name_generator()
-    input_file.output('audio'+name_random+'.mp3', acodec='mp3').run()
-    command2 = ["whisper",'./audio'+name_random+'.mp3']
-    try:
-        retVal = subprocess.check_output(command2)
-    except:
-        retVal = subprocess.check_output("ls")
-    subprocess.run(['rm', 'audio'+name_random+'.mp3'], check=True) 
-    return retVal
-
 def subtitle_it(subtitle_str):
     # Regular expression to extract time and text
     pattern = re.compile(
@@ -86,8 +72,8 @@ def respond(
 ):
     # global val
     # if ((val is None) or reprocess):
-    subtitles = outputProducer(system_message)
-    val = subtitle_it(subtitles)
+    # subtitles = outputProducer(system_message)
+    val = subtitle_it(system_message)
         # reprocess-=1
     messages = [{"role": "system", "content": "Answer by using the transcript"+val}]
 
@@ -119,8 +105,8 @@ chatbot = gr.Chatbot(height=600)
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Video(value=None, label="System message"),
-        gr.Slider(minimum=0, maximum=1, value=1, step=1, label="Reprocess"),
+        gr.Textbox(value=None, label="System message"),
+        # gr.Slider(minimum=0, maximum=1, value=1, step=1, label="Reprocess"),
         gr.Slider(minimum=1, maximum=4098, value=1024, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(