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Update app.py
Browse files
app.py
CHANGED
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@@ -39,43 +39,61 @@ class VideoProcessor:
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return f"Error generating response: {str(e)}"
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# Initialize session state properly
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st.session_state
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st.session_state
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st.session_state
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st.session_state
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st.session_state
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# Main app function
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def main():
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st.set_page_config(page_title="Video Retrieval-Augmented Generation", page_icon="", layout="wide")
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st.header("Video Retrieval-Augmented Generation - Gemini 2.0")
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st.markdown("---")
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# Step 1: API Key input
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st.subheader("Step 1: Enter Your API Key")
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# Check for environment variable first
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env_api_key = os.environ.get("GOOGLE_API_KEY", "")
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if env_api_key:
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st.info("Using API key from environment variable")
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api_key = env_api_key
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# Auto-validate environment API key
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if not st.session_state.api_key_validated:
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try:
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st.session_state.video_processor = VideoProcessor(api_key)
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st.session_state.api_key_validated = True
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st.success("API key validated successfully")
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except Exception as e:
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st.error(f"Invalid API key from environment: {str(e)}")
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api_key = None
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else:
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# Direct API key input
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api_key = st.text_input(
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"Enter your Gemini API key below:",
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type="password",
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@@ -84,10 +102,29 @@ def main():
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key="api_key_input"
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)
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st.
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with
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st.markdown("""
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1. Navigate to [Google AI Studio](https://makersuite.google.com/app/apikey)
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2. Sign in with your Google account
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@@ -97,126 +134,173 @@ def main():
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**Important:** Keep your API key secure and do not share it publicly.
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""")
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else:
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# Validate the API key when entered
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if not st.session_state.api_key_validated or (st.session_state.video_processor is None):
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try:
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with st.spinner("Validating API key..."):
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st.session_state.video_processor = VideoProcessor(api_key)
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st.session_state.api_key_validated = True
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st.success("API key validated successfully - You can proceed to Step 2")
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except Exception as e:
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st.error(f"Invalid API key. Please check your key and try again: {str(e)}")
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st.session_state.api_key_validated = False
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st.session_state.video_processor = None
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api_key = None
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#
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if not
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st.warning("
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st.stop()
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st.markdown("---")
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# Step 2: Upload Video
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st.subheader("Step 2: Video Upload")
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if uploaded_file:
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# Validate video file
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mime_type = mimetypes.guess_type(uploaded_file.name)[0]
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if mime_type and mime_type.startswith("video"):
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# Display file info
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col1, col2 = st.columns(
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with col1:
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st.
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with col2:
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st.
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# Check file size limit
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if
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st.error("File size exceeds limit
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# Process
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if st.session_state.video_name != uploaded_file.name:
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tmp_path = None
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try:
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progress_bar = st.progress(0)
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video_file = st.session_state.video_processor.upload_video(tmp_path, uploaded_file.name)
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progress_bar.progress(50, text="Processing video...")
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processed_file = st.session_state.video_processor.wait_for_processing(video_file)
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# Update session state
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st.session_state.video_file = processed_file
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st.session_state.video_name = uploaded_file.name
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st.session_state.messages = [] # Clear previous conversation
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st.success("Video processed successfully")
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time.sleep(
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except Exception as e:
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st.error(f"Error processing video: {str(e)}")
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st.session_state.video_file = None
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st.session_state.video_name = None
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finally:
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# Clean up temporary file
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if tmp_path and os.path.exists(tmp_path):
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# Display video player
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else:
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st.error("Please upload a valid video file")
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# Control buttons
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col1, col2, col3 = st.columns(3)
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with col1:
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if st.button("Reset Chat", disabled=not st.session_state.messages):
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st.session_state.messages = []
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st.rerun()
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with col2:
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if st.button("Reset Video", disabled=not st.session_state.video_file):
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st.session_state.video_file = None
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st.session_state.video_name = None
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st.session_state.messages = []
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st.rerun()
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with col3:
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if st.button("Clear All
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for key in list(st.session_state.keys()):
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del st.session_state[key]
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st.rerun()
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st.markdown("---")
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# Step 3: Chat about Video
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st.subheader("Step 3: Video Analysis Chat")
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if st.session_state.video_file:
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# Display chat history
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for msg in st.session_state.messages:
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with st.chat_message(msg["role"]):
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st.markdown(msg["content"])
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# Chat input
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user_question = st.chat_input("Ask a question about the video...")
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if user_question:
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# Add user message
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st.session_state.messages.append({"role": "user", "content": user_question})
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# Generate and display assistant response
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with st.chat_message("assistant"):
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with st.spinner("Processing..."):
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try:
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response = st.session_state.video_processor.chat_with_video(
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st.session_state.video_file,
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user_question
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)
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except Exception as e:
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response = f"Error: {str(e)}"
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st.session_state.messages.append({"role": "assistant", "content": response})
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else:
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st.info("Please upload a video in Step 2 to begin analysis.")
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if __name__ == "__main__":
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main()
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return f"Error generating response: {str(e)}"
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# Initialize session state properly
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def init_session_state():
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if "messages" not in st.session_state:
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st.session_state.messages = []
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if "video_processor" not in st.session_state:
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st.session_state.video_processor = None
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if "video_file" not in st.session_state:
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st.session_state.video_file = None
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if "video_name" not in st.session_state:
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st.session_state.video_name = None
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if "api_key_validated" not in st.session_state:
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st.session_state.api_key_validated = False
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if "debug_mode" not in st.session_state:
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st.session_state.debug_mode = False
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# Main app function
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def main():
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st.set_page_config(page_title="Video Retrieval-Augmented Generation", page_icon="π₯", layout="wide")
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st.header("π₯ Video Retrieval-Augmented Generation - Gemini 2.0")
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# Initialize session state
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init_session_state()
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# Debug mode toggle in sidebar
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with st.sidebar:
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st.session_state.debug_mode = st.checkbox("Debug Mode", value=st.session_state.debug_mode)
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if st.session_state.debug_mode:
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st.write("### Session State:")
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st.write(f"API Key Validated: {st.session_state.api_key_validated}")
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st.write(f"Video File: {'Yes' if st.session_state.video_file else 'No'}")
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st.write(f"Video Name: {st.session_state.video_name}")
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st.write(f"Messages Count: {len(st.session_state.messages)}")
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st.markdown("---")
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# Step 1: API Key input
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st.subheader("π Step 1: Enter Your API Key")
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# Check for environment variable first
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env_api_key = os.environ.get("GOOGLE_API_KEY", "")
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api_key = None
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if env_api_key:
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st.info("β
Using API key from environment variable")
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api_key = env_api_key
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# Auto-validate environment API key
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if not st.session_state.api_key_validated:
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try:
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st.session_state.video_processor = VideoProcessor(api_key)
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st.session_state.api_key_validated = True
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st.success("β
API key validated successfully")
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except Exception as e:
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st.error(f"β Invalid API key from environment: {str(e)}")
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api_key = None
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else:
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# Direct API key input
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api_key = st.text_input(
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"Enter your Gemini API key below:",
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type="password",
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key="api_key_input"
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)
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if api_key:
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# Add a button to validate the API key
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col1, col2 = st.columns([1, 4])
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with col1:
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validate_button = st.button("Validate Key", type="primary")
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if validate_button or (api_key and not st.session_state.api_key_validated):
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try:
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with st.spinner("Validating API key..."):
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test_processor = VideoProcessor(api_key)
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st.session_state.video_processor = test_processor
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st.session_state.api_key_validated = True
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st.success("β
API key validated successfully!")
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st.balloons()
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time.sleep(1)
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st.rerun()
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except Exception as e:
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st.error(f"β Invalid API key: {str(e)}")
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st.session_state.api_key_validated = False
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st.session_state.video_processor = None
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else:
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st.info("βΉοΈ Please enter your Gemini API key above to proceed")
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with st.expander("π How to obtain your API key"):
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st.markdown("""
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1. Navigate to [Google AI Studio](https://makersuite.google.com/app/apikey)
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2. Sign in with your Google account
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**Important:** Keep your API key secure and do not share it publicly.
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""")
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# Check if we can proceed to next steps
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if not st.session_state.api_key_validated:
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st.warning("β οΈ Please enter a valid API key to proceed to Steps 2 and 3")
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return # Changed from st.stop() to return
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st.markdown("---")
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# Step 2: Upload Video
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st.subheader("πΉ Step 2: Video Upload")
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# Show current status
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if st.session_state.video_name:
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st.success(f"β
Current video: {st.session_state.video_name}")
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uploaded_file = st.file_uploader(
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"Select a video file",
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type=['mp4', 'mov', 'avi', 'mkv', 'webm'],
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help="Maximum file size: 200MB"
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)
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if uploaded_file:
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# Validate video file
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mime_type = mimetypes.guess_type(uploaded_file.name)[0]
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if st.session_state.debug_mode:
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st.info(f"Debug: MIME type detected: {mime_type}")
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if mime_type and mime_type.startswith("video"):
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file_size_mb = len(uploaded_file.getvalue()) / (1024**2)
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# Display file info
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col1, col2, col3 = st.columns(3)
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with col1:
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st.metric("File", uploaded_file.name)
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with col2:
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st.metric("Size", f"{file_size_mb:.2f} MB")
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with col3:
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st.metric("Type", mime_type.split('/')[-1].upper())
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# Check file size limit
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if file_size_mb > 200:
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st.error("β File size exceeds 200MB limit")
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return
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# Process button
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process_video = False
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if st.session_state.video_name != uploaded_file.name:
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if st.button("π Process Video", type="primary", use_container_width=True):
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process_video = True
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else:
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st.info("βΉοΈ This video has already been processed")
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# Process new video
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if process_video:
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tmp_path = None
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progress_container = st.container()
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try:
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with progress_container:
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# Create temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix=Path(uploaded_file.name).suffix) as tmp:
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tmp.write(uploaded_file.getvalue())
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tmp_path = tmp.name
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if st.session_state.debug_mode:
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st.info(f"Debug: Temp file created at {tmp_path}")
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# Upload and process with detailed progress
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progress_bar = st.progress(0)
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status_text = st.empty()
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+
# Step 1: Upload
|
| 210 |
+
status_text.text("π€ Uploading video to Gemini...")
|
| 211 |
+
progress_bar.progress(25)
|
| 212 |
video_file = st.session_state.video_processor.upload_video(tmp_path, uploaded_file.name)
|
|
|
|
| 213 |
|
| 214 |
+
if st.session_state.debug_mode:
|
| 215 |
+
st.info(f"Debug: Video uploaded, state: {video_file.state.name}")
|
| 216 |
+
|
| 217 |
+
# Step 2: Process
|
| 218 |
+
status_text.text("β³ Processing video (this may take a minute)...")
|
| 219 |
+
progress_bar.progress(50)
|
| 220 |
processed_file = st.session_state.video_processor.wait_for_processing(video_file)
|
| 221 |
+
|
| 222 |
+
if st.session_state.debug_mode:
|
| 223 |
+
st.info(f"Debug: Video processed, final state: {processed_file.state.name}")
|
| 224 |
+
|
| 225 |
+
# Step 3: Complete
|
| 226 |
+
progress_bar.progress(100)
|
| 227 |
+
status_text.text("β
Video ready for analysis!")
|
| 228 |
|
| 229 |
# Update session state
|
| 230 |
st.session_state.video_file = processed_file
|
| 231 |
st.session_state.video_name = uploaded_file.name
|
| 232 |
st.session_state.messages = [] # Clear previous conversation
|
| 233 |
|
| 234 |
+
st.success("π Video processed successfully! You can now ask questions below.")
|
| 235 |
+
time.sleep(2)
|
| 236 |
+
st.rerun() # Refresh to show chat interface
|
| 237 |
+
|
| 238 |
except Exception as e:
|
| 239 |
+
st.error(f"β Error processing video: {str(e)}")
|
| 240 |
+
if st.session_state.debug_mode:
|
| 241 |
+
st.exception(e)
|
| 242 |
st.session_state.video_file = None
|
| 243 |
st.session_state.video_name = None
|
| 244 |
|
| 245 |
finally:
|
| 246 |
# Clean up temporary file
|
| 247 |
if tmp_path and os.path.exists(tmp_path):
|
| 248 |
+
try:
|
| 249 |
+
os.unlink(tmp_path)
|
| 250 |
+
if st.session_state.debug_mode:
|
| 251 |
+
st.info("Debug: Temp file cleaned up")
|
| 252 |
+
except:
|
| 253 |
+
pass
|
| 254 |
|
| 255 |
# Display video player
|
| 256 |
+
if uploaded_file:
|
| 257 |
+
st.video(uploaded_file.getvalue())
|
| 258 |
else:
|
| 259 |
+
st.error("β Please upload a valid video file")
|
| 260 |
|
| 261 |
# Control buttons
|
| 262 |
+
st.markdown("---")
|
| 263 |
col1, col2, col3 = st.columns(3)
|
| 264 |
with col1:
|
| 265 |
+
if st.button("π Reset Chat", disabled=not st.session_state.messages, use_container_width=True):
|
| 266 |
st.session_state.messages = []
|
| 267 |
+
st.success("Chat history cleared!")
|
| 268 |
+
time.sleep(1)
|
| 269 |
st.rerun()
|
| 270 |
|
| 271 |
with col2:
|
| 272 |
+
if st.button("πΉ Reset Video", disabled=not st.session_state.video_file, use_container_width=True):
|
| 273 |
st.session_state.video_file = None
|
| 274 |
st.session_state.video_name = None
|
| 275 |
st.session_state.messages = []
|
| 276 |
+
st.success("Video reset!")
|
| 277 |
+
time.sleep(1)
|
| 278 |
st.rerun()
|
| 279 |
|
| 280 |
with col3:
|
| 281 |
+
if st.button("ποΈ Clear All", type="secondary", use_container_width=True):
|
| 282 |
for key in list(st.session_state.keys()):
|
| 283 |
del st.session_state[key]
|
| 284 |
+
st.success("All data cleared!")
|
| 285 |
+
time.sleep(1)
|
| 286 |
st.rerun()
|
| 287 |
|
| 288 |
st.markdown("---")
|
| 289 |
|
| 290 |
# Step 3: Chat about Video
|
| 291 |
+
st.subheader("π¬ Step 3: Video Analysis Chat")
|
| 292 |
|
| 293 |
if st.session_state.video_file:
|
| 294 |
+
st.success(f"β
Ready to analyze: {st.session_state.video_name}")
|
| 295 |
+
|
| 296 |
# Display chat history
|
| 297 |
for msg in st.session_state.messages:
|
| 298 |
with st.chat_message(msg["role"]):
|
| 299 |
st.markdown(msg["content"])
|
| 300 |
|
| 301 |
# Chat input
|
| 302 |
+
user_question = st.chat_input("Ask a question about the video...", key="chat_input")
|
| 303 |
+
|
| 304 |
if user_question:
|
| 305 |
# Add user message
|
| 306 |
st.session_state.messages.append({"role": "user", "content": user_question})
|
|
|
|
| 309 |
|
| 310 |
# Generate and display assistant response
|
| 311 |
with st.chat_message("assistant"):
|
| 312 |
+
with st.spinner("π€ Analyzing video..."):
|
|
|
|
| 313 |
try:
|
| 314 |
response = st.session_state.video_processor.chat_with_video(
|
| 315 |
st.session_state.video_file,
|
| 316 |
user_question
|
| 317 |
)
|
| 318 |
+
|
| 319 |
+
if st.session_state.debug_mode:
|
| 320 |
+
st.info(f"Debug: Response length: {len(response)} characters")
|
| 321 |
+
|
| 322 |
except Exception as e:
|
| 323 |
+
response = f"β Error: {str(e)}"
|
| 324 |
+
if st.session_state.debug_mode:
|
| 325 |
+
st.exception(e)
|
| 326 |
|
| 327 |
+
st.markdown(response)
|
| 328 |
st.session_state.messages.append({"role": "assistant", "content": response})
|
| 329 |
+
|
| 330 |
+
# Sample questions
|
| 331 |
+
with st.expander("π‘ Sample Questions"):
|
| 332 |
+
st.markdown("""
|
| 333 |
+
- What is happening in this video?
|
| 334 |
+
- Can you describe the main events?
|
| 335 |
+
- What objects or people can you see?
|
| 336 |
+
- What is the mood or atmosphere?
|
| 337 |
+
- Can you provide a summary of the video?
|
| 338 |
+
- What are the key moments in the video?
|
| 339 |
+
""")
|
| 340 |
else:
|
| 341 |
+
st.info("π€ Please upload and process a video in Step 2 to begin analysis.")
|
| 342 |
+
if st.session_state.debug_mode:
|
| 343 |
+
st.warning("Debug: No video file in session state")
|
| 344 |
|
| 345 |
if __name__ == "__main__":
|
| 346 |
+
main()
|