Update app.py

app.py

@@ -1,23 +1,16 @@
-import subprocess
-import sys
-
-# ✅ Force install moviepy before imports
-subprocess.run([sys.executable, "-m", "pip", "install", "--no-cache-dir", "moviepy", "imageio[ffmpeg]"])
-
 import os
 import io
 import torch
 import uvicorn
 import spacy
 import pdfplumber
-import moviepy.editor as mp  # Now it will be installed before this line
+import ffmpeg  # ✅ Replaced moviepy with ffmpeg-python
 import librosa
 import soundfile as sf
 from fastapi import FastAPI, UploadFile, File, HTTPException
 from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
 from sentence_transformers import SentenceTransformer, util
 
-
 # ✅ Suppress Warnings
 os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
 os.environ['CUDA_VISIBLE_DEVICES'] = '0'
@@ -63,13 +56,12 @@ def extract_text_from_pdf(pdf_file):
     except Exception as e:
         raise HTTPException(status_code=400, detail=f"PDF extraction failed: {str(e)}")
 
-# ✅ Video-to-Audio Extraction
+# ✅ Video-to-Audio Extraction (Using FFmpeg Instead of MoviePy)
 def extract_audio_from_video(video_path):
-    """Extracts audio from a video file."""
+    """Extracts audio from a video file using FFmpeg."""
     try:
-        video = mp.VideoFileClip(video_path)
         audio_path = video_path.replace(".mp4", ".wav")
-        video.audio.write_audiofile(audio_path, codec="pcm_s16le")
+        ffmpeg.input(video_path).output(audio_path, format="wav").run(overwrite_output=True)
         return audio_path
     except Exception as e:
         raise HTTPException(status_code=500, detail=f"Audio extraction failed: {str(e)}")
@@ -160,3 +152,7 @@ async def analyze_video(file: UploadFile = File(...)):
 # ✅ Run FastAPI Server
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=7860)
+
+
+
+