added upload option

src/streamlit_app.py

@@ -6,24 +6,48 @@ from detector import detect_accent
 st.set_page_config(page_title="Accent Detector", page_icon="🎙️")
 
 st.title("🎙️ English Accent Classifier")
-st.write("Paste a public Loom or MP4 link and get an English accent classification.")
+st.write("Paste a public Loom or MP4 link OR upload a video file to get an English accent classification.")
 
+# Input options:
 video_url = st.text_input("Video URL (MP4 or Loom):")
-
-if st.button("Analyze") and video_url:
-    try:
-        with st.spinner("Downloading video..."):
-            video_file = download_video(video_url)
-
-        with st.spinner("Extracting audio..."):
-            audio_file = extract_audio(video_file)
-
-        with st.spinner("Transcribing & detecting accent..."):
-            accent, confidence, transcript = detect_accent(audio_file)
-
-        st.success(f"Accent: **{accent}**")
-        st.metric(label="Confidence", value=f"{confidence}%")
-        st.text_area("Transcript", transcript, height=150)
-
-    except Exception as e:
-        st.error(f"Error: {str(e)}")
+uploaded_file = st.file_uploader("Or upload a video file (MP4)", type=["mp4"])
+
+# When user clicks Analyze
+if st.button("Analyze"):
+
+    # Validate input
+    if not video_url and not uploaded_file:
+        st.error("Please provide a video URL or upload a video file.")
+    else:
+        try:
+            # Step 1: get the video file path for extractor
+            
+            if uploaded_file is not None:
+                # uploaded_file is BytesIO-like object
+                # We need to save it to a temporary file path for extract_audio()
+                import tempfile
+                
+                with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as tmp:
+                    tmp.write(uploaded_file.read())
+                    video_file_path = tmp.name
+            
+            else:
+                # Download video from URL to local file path (your existing function)
+                with st.spinner("Downloading video..."):
+                    video_file_path = download_video(video_url)
+
+            # Step 2: extract audio
+            with st.spinner("Extracting audio..."):
+                audio_file = extract_audio(video_file_path)
+
+            # Step 3: detect accent
+            with st.spinner("Transcribing & detecting accent..."):
+                accent, confidence, transcript = detect_accent(audio_file)
+
+            # Display results
+            st.success(f"Accent: **{accent}**")
+            st.metric(label="Confidence", value=f"{confidence}%")
+            st.text_area("Transcript", transcript, height=150)
+
+        except Exception as e:
+            st.error(f"Error: {str(e)}")