Update app.py

app.py

@@ -21,15 +21,16 @@ from audio_recorder_streamlit import audio_recorder
 from bs4 import BeautifulSoup
 from collections import deque
 from dotenv import load_dotenv
-from gradio_client import Client, handle_file
+from gradio_client import Client
 from huggingface_hub import InferenceClient
 from io import BytesIO
-from moviepy.editor import VideoFileClip
 from PIL import Image
 from PyPDF2 import PdfReader
 from urllib.parse import quote
 from xml.etree import ElementTree as ET
 from openai import OpenAI
+import extra_streamlit_components as stx
+from streamlit.runtime.scriptrunner import get_script_run_ctx
 
 
 # 1. 🚲BikeAI🏆 Configuration and Setup
@@ -241,9 +242,10 @@ def process_audio(audio_input, text_input=''):
         
         filename = generate_filename(transcription.text, "wav")
         create_and_save_file(audio_input, "wav", transcription.text, True)
-
+        
+# Modified video processing function without moviepy dependency
 def process_video(video_path, seconds_per_frame=1):
-    """Process video files for frame extraction and audio."""
+    """Process video files for frame extraction."""
     base64Frames = []
     video = cv2.VideoCapture(video_path)
     total_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
@@ -259,23 +261,11 @@ def process_video(video_path, seconds_per_frame=1):
         base64Frames.append(base64.b64encode(buffer).decode("utf-8"))
     
     video.release()
-    
-    # Extract audio
-    base_video_path = os.path.splitext(video_path)[0]
-    audio_path = f"{base_video_path}.mp3"
-    try:
-        video_clip = VideoFileClip(video_path)
-        video_clip.audio.write_audiofile(audio_path)
-        video_clip.close()
-    except:
-        st.warning("No audio track found in video")
-        audio_path = None
-    
-    return base64Frames, audio_path
+    return base64Frames, None
 
 def process_video_with_gpt(video_input, user_prompt):
-    """Process video with GPT-4o vision."""
-    base64Frames, audio_path = process_video(video_input)
+    """Process video with GPT-4 vision."""
+    base64Frames, _ = process_video(video_input)
     
     response = openai_client.chat.completions.create(
         model=st.session_state["openai_model"],
@@ -288,10 +278,9 @@ def process_video_with_gpt(video_input, user_prompt):
             ]}
         ]
     )
-    
     return response.choices[0].message.content
 
-
+    
 def extract_urls(text):
     try:
         date_pattern = re.compile(r'### (\d{2} \w{3} \d{4})')