Update app.py

app.py

@@ -12,7 +12,6 @@ import os
 import re
 from math import floor
 import subprocess
-from gradio_client import Client, handle_file
 
 ACCESS_TOKEN = os.getenv("HF_TOKEN")
 
@@ -21,10 +20,7 @@ client = OpenAI(
     api_key=ACCESS_TOKEN,
 )
 
-clientsub = Client("eternalBlissard/Simplify-Video-Zero")
-
-
-# val = None
+val = None
 @spaces.GPU(duration=1)
 def random_name_generator():
     length = random.randint(10, 15)  # Random length between 10 and 15
@@ -36,6 +32,19 @@ def random_name_generator():
 # 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(
@@ -68,23 +77,18 @@ def subtitle_it(subtitle_str):
 
 def respond(
     message,
-    history: list[tuple[str, str]],
-    reprocess,
+    history: list[tuple([str, str])],
     system_message,
+    reprocess,
     max_tokens,
     temperature,
     top_p,
 ):
-    # global val
-    # if ((val is None) or reprocess):
-    
-    subtitles = clientsub.predict(
-		inputVideo={"video":handle_file(system_message)},
-		api_name="/predict"
-)
-
-    val = subtitle_it(subtitles)
-        # print(val)
+    global val
+    if ((val is None) or reprocess):
+        subtitles = outputProducer(system_message)
+        val = subtitle_it(subtitles)
+        print(val)
         # reprocess-=1
     messages = [{"role": "system", "content": "Answer by using the transcript"+val}]
 
@@ -134,5 +138,3 @@ demo = gr.ChatInterface(
 )
 if __name__ == "__main__":
     demo.launch()
-
-