Update app.py

app.py

@@ -2,12 +2,22 @@ import json
 import ffmpeg
 from subprocess import run
 import gradio as gr
+import uuid
+import os
+from zipfile import ZipFile
 import whisper_timestamped as whisper
 from transformers import pipeline
 
 model = whisper.load_model("small", device="cpu")
 sentiment_analysis = pipeline("sentiment-analysis", framework="pt", model="SamLowe/roberta-base-go_emotions", use_fast=True)
 
+ZipFile("ffmpeg.zip").extractall()
+st = os.stat('ffmpeg')
+os.chmod('ffmpeg', st.st_mode | stat.S_IEXEC)
+
+print("cwd", os.getcwd())
+print(os.listdir())
+
 def analyze_sentiment(text):
     results = sentiment_analysis(text)
     sentiment_results = {result['label']: result['score'] for result in results}
@@ -24,7 +34,9 @@ def transcribe(audio):
 
 
 def video_to_audio(input_video, output_audio):
-    audio_file = f"test.wav"
+    current_path = os.getcwd()
+    common_uuid = uuid.uuid4()
+    audio_file = f"{common_uuid}.wav"
     run(["ffmpeg", "-i", 'test_video_1.mp4', audio_file])
 
     response = transcribe(audio=audio_file)