add file upload

streamlit_app.py

@@ -286,7 +286,14 @@ def main():
     
     # Input section
     st.subheader("📹 Video Input")
-    
+
+    # File upload option
+    uploaded_file = st.file_uploader(
+        "Or upload a local video/audio file (MP4, WAV, MP3, etc.):",
+        type=["mp4", "mov", "avi", "wav", "mp3", "m4a", "aac", "ogg"],
+        help="Upload a file directly if you can't use a public URL."
+    )
+
     # Sample URLs for testing
     with st.expander("🧪 Test with sample videos"):
         st.markdown("""
@@ -301,32 +308,32 @@ def main():
         placeholder="https://example.com/video.mp4",
         help="Must be a publicly accessible video URL"
     )
-    
+
     # Process button
     if st.button("🚀 Analyze Accent", type="primary"):
-        if not video_url.strip():
-            st.error("⚠️ Please enter a video URL")
+        if not video_url.strip() and not uploaded_file:
+            st.error("⚠️ Please enter a video URL or upload a file")
             return
-        
-        if not video_url.startswith(('http://', 'https://')):
+        if video_url and not video_url.startswith(('http://', 'https://')):
             st.error("⚠️ Please enter a valid URL starting with http:// or https://")
             return
-        
-        # Initialize detector and progress tracking
         detector = get_detector()
         temp_files = []
-        
         try:
-            # Progress bar
             progress_bar = st.progress(0)
             status_text = st.empty()
-            
-            # Step 1: Download video
-            status_text.text("📥 Downloading video...")
-            progress_bar.progress(20)
-            video_path = detector.download_video(video_url)
-            temp_files.append(video_path)
-            
+            if uploaded_file:
+                # Save uploaded file to a temp file
+                suffix = os.path.splitext(uploaded_file.name)[1]
+                with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as f:
+                    f.write(uploaded_file.read())
+                    video_path = f.name
+                temp_files.append(video_path)
+            else:
+                status_text.text("📥 Downloading video...")
+                progress_bar.progress(20)
+                video_path = detector.download_video(video_url)
+                temp_files.append(video_path)
             # Step 2: Extract audio
             status_text.text("🎵 Extracting audio...")
             progress_bar.progress(50)