Update app.py

app.py

@@ -19,11 +19,12 @@ client = OpenAI(
 # Streamlit App UI
 st.title("🎥 AI-Powered Video Summarization")
 # Define custom CSS
+# Custom CSS for larger, darker text
 st.markdown(
     """
     <style>
-    body, .stApp {
-        font-size: 20px !important;
+    .big-font {
+        font-size: 30px !important;
         font-weight: bold;
         color: black;
     }
@@ -31,6 +32,7 @@ st.markdown(
     """,
     unsafe_allow_html=True
 )
+
 def set_background(image_file):
     with open(image_file, "rb") as image:
         encoded_string = base64.b64encode(image.read()).decode()
@@ -55,7 +57,7 @@ def set_background(image_file):
 set_background("background.jpg")
     
 
-uploaded_file = st.file_uploader("<h2 style='font-size:30px; color:black;'>📤 Upload a Video File</h2>", type=["mp4"])
+uploaded_file = st.file_uploader("📤 Upload a Video File", type=["mp4"])
 
 if uploaded_file:
     video_path = "input_video.mp4"
@@ -65,7 +67,7 @@ if uploaded_file:
     st.video(video_path)
 
     # Scene Detection & Frame Extraction
-    st.write("<h2 style='font-size:30px; color:black;'>🔍 Detecting scene changes and extracting key frames...</h2>")
+    st.write("🔍 Detecting scene changes and extracting key frames...")
 
     def extract_key_frames(video_path, output_folder="frames"):
         os.makedirs(output_folder, exist_ok=True)
@@ -90,7 +92,7 @@ if uploaded_file:
     extract_key_frames(video_path)
 
     # Caption Generation
-    st.write("<h2 style='font-size:30px; color:black;'>📝 Generating captions for extracted frames...</h2>")
+    st.write("📝 Generating captions for extracted frames...")
 
     def generate_caption(image_path):
         image = Image.open(image_path).convert("RGB")
@@ -107,7 +109,7 @@ if uploaded_file:
     # st.write("📄 Generated Captions:", captions)
 
     # Summarization
-    st.write("<h2 style='font-size:30px; color:black;'>📖 Summarizing captions using AI...</h2>")
+    st.write("📖 Summarizing captions using AI...")
 
     def summarize_captions(captions):
       prompt = f"Summarize the following sequence of video frames into a meaningful story under 800 characters:\n\n{captions}"
@@ -125,7 +127,7 @@ if uploaded_file:
     st.write("📌 Video Summary:", summary)
 
     # Text-to-Speech
-    st.write("<h2 style='font-size:30px; color:black;'>🔊 Generating voice narration...</h2>")
+    st.write("🔊 Generating voice narration...")
 
     def text_to_speech(text, output_audio="summary_audio.mp3"):
         tts = gTTS(text, lang="en")