Create app.py

app.py

@@ -0,0 +1,37 @@
+import streamlit as st
+import tempfile
+from video_processor import process_video
+from qa_engine import get_answer
+from database import insert_video_data, search_similar_videos
+
+st.title("Intelligent Video Q&A App with Gemini Vision Pro")
+
+uploaded_file = st.file_uploader("Choose a video file", type=["mp4", "avi", "mov"])
+if uploaded_file is not None:
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmp_file:
+        tmp_file.write(uploaded_file.getvalue())
+        video_path = tmp_file.name
+
+    summary_words = st.slider("Number of words in summary", 50, 500, 200)
+    
+    if st.button("Process Video"):
+        with st.spinner("Processing video with Gemini Vision Pro..."):
+            video_data = process_video(video_path, summary_words)
+            insert_video_data(video_data)
+            st.success("Video processed successfully!")
+
+        st.subheader("Video Summary")
+        st.write(video_data['summary'])
+
+        st.subheader("Extracted Code")
+        st.code(video_data['extracted_code'])
+
+        st.subheader("Similar Videos")
+        similar_videos = search_similar_videos(video_data['summary'])
+        for video in similar_videos:
+            st.write(f"- {video['title']}")
+
+    question = st.text_input("Ask a question about the video:")
+    if question and 'video_data' in locals():
+        answer = get_answer(question, video_data)
+        st.write("Answer:", answer)