Spaces:
Sleeping
Sleeping
Updated app.py
Browse files
app.py
CHANGED
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@@ -11,13 +11,12 @@ from scipy.ndimage import gaussian_filter1d
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from datetime import timedelta, datetime
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gcp_credentials = os.getenv('GCP_CREDENTIALS')
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if not gcp_credentials:
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raise ValueError("GCP_CREDENTIALS environment variable is not set.")
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credentials_dict = json.loads(gcp_credentials)
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creds = service_account.Credentials.from_service_account_info(credentials_dict)
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client = storage.Client(credentials=creds)
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bucket_name = "kapnotes"
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bucket = client.bucket(bucket_name)
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@@ -29,43 +28,16 @@ def get_client_names():
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client_names.add(client_name)
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return sorted(client_names)
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def validate_data(client_name, date, meeting):
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summary_blob_name = f"{client_name}/{date}/{meeting}/summary.txt"
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transcription_blob_name = f"{client_name}/{date}/{meeting}/transcription.txt"
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audio_blob_name = f"{client_name}/{date}/{meeting}/audio.wav"
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summary_blob = bucket.blob(summary_blob_name)
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transcription_blob = bucket.blob(transcription_blob_name)
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audio_blob = bucket.blob(audio_blob_name)
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return summary_blob.exists() and transcription_blob.exists() and audio_blob.exists()
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def get_meetings_for_date(client_name, date):
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prefix = f"{client_name}/{date}/"
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blobs = bucket.list_blobs(prefix=prefix)
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meetings = set()
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for blob in blobs:
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parts = blob.name[len(prefix):].split('/')
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if len(parts) > 1:
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meetings.add(parts[0])
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return sorted(meetings)
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def get_dates_for_client(client_name):
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client = storage.Client()
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bucket_name = "kapnotes"
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bucket = client.get_bucket(bucket_name)
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prefix = f"{client_name}/"
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blobs = bucket.list_blobs(prefix=prefix)
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folder_names = set()
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for blob in blobs:
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parts = blob.name[len(prefix):].split('/')
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if len(parts) > 1:
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folder_names.add(parts[0])
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return sorted(folder_names)
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def login():
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st.markdown("""
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<style>
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.stApp {
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background: linear-gradient(
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background-size: 200% 200%;
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animation: gradientMove 10s ease infinite;
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}
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@@ -82,9 +54,46 @@ def login():
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margin-bottom: 3rem;
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letter-spacing: 2px;
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}
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.stButton > button {
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width: 100%;
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background: linear-gradient(
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color: white;
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border: none;
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border-radius: 16px;
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@@ -93,55 +102,45 @@ def login():
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font-weight: bold;
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cursor: pointer;
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margin-top: 2rem;
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box-shadow:
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transition: all 0.3s ease;
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}
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.stButton > button:hover {
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transform: translateY(-3px) scale(1.03);
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box-shadow:
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}
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</style>
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""", unsafe_allow_html=True)
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-
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if 'password' not in st.session_state:
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st.session_state.password = ""
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st.markdown("<h1>KAP NOTES</h1>", unsafe_allow_html=True)
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client_names = get_client_names()
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if
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st.session_state.client_name = client_name
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st.session_state.date = selected_date
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st.session_state.meeting = selected_meeting
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st.session_state.logged_in = True
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st.session_state.password = password
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st.rerun()
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else:
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st.error(f"No records available for {client_name} on {selected_date}. Please select another option.")
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elif not password:
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st.error("Please enter password.")
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else:
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st.error("Incorrect Password. Please try again.")
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st.session_state.password = password
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if 'logged_in' not in st.session_state:
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st.session_state.logged_in = False
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@@ -149,14 +148,9 @@ if 'logged_in' not in st.session_state:
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if not st.session_state.logged_in:
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login()
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else:
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client_name = st.session_state.client_name
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date = st.session_state.date
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meeting = st.session_state.meeting
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password= st.session_state.password
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if st.sidebar.button("Back"):
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st.session_state.logged_in = False
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st.rerun()
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st.sidebar.markdown(f'''
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<div class="client-name-container">
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@@ -191,7 +185,7 @@ else:
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transition: transform 0.3s ease, box-shadow 0.3s ease;
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}
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.summary-box:hover, .keypoints-box:hover, .action-items-box:hover {
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transform: translateY(-
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box-shadow: 0px 12px 25px rgba(0, 0, 0, 0.25), 0px 18px 35px rgba(0, 0, 0, 0.2);
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}
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.summary-box {
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@@ -363,9 +357,9 @@ else:
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'''
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st.markdown(css, unsafe_allow_html=True)
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summary_blob_name = f"{client_name}/{date}/
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transcription_blob_name = f"{client_name}/{date}/
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audio_blob_name = f"{client_name}/{date}/
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bucket = client.bucket(bucket_name)
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@@ -375,17 +369,9 @@ else:
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audio_blob = bucket.blob(audio_blob_name)
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audio_url = audio_blob.generate_signed_url(expiration=timedelta(hours=1), method='GET')
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key_points_match = re.search(r"Key Points:\s*(.*?)(?=\nAction Items:)", summary_content, re.DOTALL)
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key_points = re.findall(r"- (.*?)\n", key_points_match.group(1)) if key_points_match else ["Key points not found."]
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action_items_match = re.search(r"Action Items:\s*(.*)", summary_content, re.DOTALL)
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if action_items_match:
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action_items = re.findall(r"- (.*?)(?=\n- |$)", action_items_match.group(1), re.DOTALL)
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else:
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action_items = ["Action items not found."]
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transcription_blob = bucket.blob(transcription_blob_name)
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with transcription_blob.open("r") as file:
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st.rerun()
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with st.sidebar:
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speaker_names = list(speaker_data.keys())
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talk_time_percentages = [data["talktime_percentage"] for data in speaker_data.values()]
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@@ -493,6 +480,7 @@ else:
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""", unsafe_allow_html=True)
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st.title("Chat Conversation")
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with st.expander("Click to view the chat conversation", expanded=False):
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chat_conversation = ""
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for index, entry in enumerate(meeting_data):
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st.plotly_chart(fig)
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st.markdown("### Sentiment Analysis of the Meeting")
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fig = go.Figure()
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fig.add_trace(go.Scatter(x=list(range(len(smoothed_polarity))), y=smoothed_polarity, mode='lines', name='Sentiment', line=dict(color='blue')))
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fig.update_layout(
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xaxis=dict(title="Time (in seconds)"),
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yaxis=dict(title="Sentiment Score", range=[-1, 1]),
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)
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-
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from datetime import timedelta, datetime
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gcp_credentials = os.getenv('GCP_CREDENTIALS')
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credentials_dict = json.loads(gcp_credentials)
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creds = service_account.Credentials.from_service_account_info(credentials_dict)
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client = storage.Client(credentials=creds)
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bucket_name = "kapnotes"
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bucket = client.bucket(bucket_name)
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client_names.add(client_name)
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return sorted(client_names)
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def login():
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st.markdown("""
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<style>
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.stApp {
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background: linear-gradient(
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125deg,
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#F0F4F8 0%,
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#D9E4F5 50%,
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#E5EFF8 100%
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);
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background-size: 200% 200%;
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animation: gradientMove 10s ease infinite;
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}
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margin-bottom: 3rem;
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letter-spacing: 2px;
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}
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.login-form-container {
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width: 400px;
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margin: 0 auto;
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padding: 2rem;
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background: linear-gradient(
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135deg,
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rgba(0, 0, 0, 0.1) 0%,
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rgba(0, 0, 0, 0.15) 100%
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);
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backdrop-filter: blur(15px);
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border-radius: 24px;
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box-shadow:
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0 8px 32px rgba(31, 38, 135, 0.37),
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inset -4px -4px 8px rgba(255, 255, 255, 0.1),
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inset 4px 4px 8px rgba(0, 0, 0, 0.2);
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border: 1px solid rgba(255, 255, 255, 0.18);
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}
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.stSelectbox label, .stDateInput label {
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color: #333333 !important;
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font-weight: bold;
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font-size: 1rem;
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text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.5);
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}
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.stSelectbox > div > div, .stDateInput > div > div {
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background: #2E3A47;
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border: 1px solid rgba(255, 255, 255, 0.3);
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border-radius: 12px;
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color: #FFFFFF;
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font-weight: bold;
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box-shadow:
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inset 2px 2px 5px rgba(0, 0, 0, 0.3),
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inset -2px -2px 5px rgba(255, 255, 255, 0.2);
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}
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.stButton > button {
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width: 100%;
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background: linear-gradient(
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45deg,
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#2563eb 0%,
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#3b82f6 100%
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);
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color: white;
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border: none;
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border-radius: 16px;
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font-weight: bold;
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cursor: pointer;
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margin-top: 2rem;
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box-shadow:
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0 8px 16px rgba(0, 0, 0, 0.4),
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inset 0 -4px 8px rgba(0, 0, 0, 0.2),
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inset 0 4px 8px rgba(255, 255, 255, 0.2);
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transition: all 0.3s ease;
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}
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.stButton > button:hover {
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transform: translateY(-3px) scale(1.03);
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box-shadow:
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0 12px 24px rgba(0, 0, 0, 0.5),
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inset 0 -4px 8px rgba(0, 0, 0, 0.2),
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inset 0 4px 8px rgba(255, 255, 255, 0.2);
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background: linear-gradient(
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45deg,
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#1d4ed8 0%,
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#2563eb 100%
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);
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}
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</style>
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""", unsafe_allow_html=True)
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st.markdown("<h1>KAP NOTES</h1>", unsafe_allow_html=True)
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client_names = get_client_names()
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with st.form(key="login_form"):
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client_name = st.selectbox("Select Client", client_names)
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min_date = datetime(2000, 1, 1)
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date_input = st.date_input("Enter the Date", min_value=min_date, max_value=datetime.today())
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submit_button = st.form_submit_button("Sign In")
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if submit_button:
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date_str = date_input.strftime("%d-%m-%Y")
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date_str = date_str.replace("-", "_")
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st.session_state.client_name = client_name
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st.session_state.date = date_str
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st.session_state.logged_in = True
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st.rerun()
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if 'logged_in' not in st.session_state:
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st.session_state.logged_in = False
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if not st.session_state.logged_in:
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login()
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else:
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st.set_page_config(page_title="Kap Notes", layout="wide")
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client_name = st.session_state.client_name
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date = st.session_state.date
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st.sidebar.markdown(f'''
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<div class="client-name-container">
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transition: transform 0.3s ease, box-shadow 0.3s ease;
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}
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.summary-box:hover, .keypoints-box:hover, .action-items-box:hover {
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transform: translateY(-1px) scale(1.05);
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box-shadow: 0px 12px 25px rgba(0, 0, 0, 0.25), 0px 18px 35px rgba(0, 0, 0, 0.2);
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}
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.summary-box {
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'''
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st.markdown(css, unsafe_allow_html=True)
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summary_blob_name = f"{client_name}/{date.replace('_', '-')}/summary.txt"
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transcription_blob_name = f"{client_name}/{date.replace('_', '-')}/transcription.txt"
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audio_blob_name = f"{client_name}/{date.replace('_', '-')}/audio/audio.wav"
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bucket = client.bucket(bucket_name)
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audio_blob = bucket.blob(audio_blob_name)
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audio_url = audio_blob.generate_signed_url(expiration=timedelta(hours=1), method='GET')
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summary = re.search(r"Summary(.*?)\n\n", summary_content, re.DOTALL).group(1).strip()
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+
key_points = re.findall(r"- (.*?)\n", re.search(r"Key Points(.*?)\n\n", summary_content, re.DOTALL).group(1))
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| 374 |
+
action_items = re.findall(r"- (.*?)\n", re.search(r"Action Items(.*)", summary_content, re.DOTALL).group(1))
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|
| 375 |
|
| 376 |
transcription_blob = bucket.blob(transcription_blob_name)
|
| 377 |
with transcription_blob.open("r") as file:
|
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|
| 462 |
st.rerun()
|
| 463 |
|
| 464 |
with st.sidebar:
|
| 465 |
+
|
| 466 |
speaker_names = list(speaker_data.keys())
|
| 467 |
talk_time_percentages = [data["talktime_percentage"] for data in speaker_data.values()]
|
| 468 |
|
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|
| 480 |
""", unsafe_allow_html=True)
|
| 481 |
|
| 482 |
st.title("Chat Conversation")
|
| 483 |
+
|
| 484 |
with st.expander("Click to view the chat conversation", expanded=False):
|
| 485 |
chat_conversation = ""
|
| 486 |
for index, entry in enumerate(meeting_data):
|
|
|
|
| 517 |
st.plotly_chart(fig)
|
| 518 |
|
| 519 |
st.markdown("### Sentiment Analysis of the Meeting")
|
| 520 |
+
|
| 521 |
fig = go.Figure()
|
| 522 |
fig.add_trace(go.Scatter(x=list(range(len(smoothed_polarity))), y=smoothed_polarity, mode='lines', name='Sentiment', line=dict(color='blue')))
|
| 523 |
fig.update_layout(
|
| 524 |
xaxis=dict(title="Time (in seconds)"),
|
| 525 |
yaxis=dict(title="Sentiment Score", range=[-1, 1]),
|
| 526 |
)
|
| 527 |
+
|
| 528 |
+
st.plotly_chart(fig)
|