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Transcript Data/audio/CUbujasdDYdz/lsm/objects/segment-1709481141490287591.db

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+version https://git-lfs.github.com/spec/v1
+oid sha256:34416c49612557f36fa0658b599e0f2ea0edc1f402e26329eba4a72ef96a6745
+size 153094830

Transcript Data/audio/CUbujasdDYdz/lsm/objects/segment-1709481161372270275.db

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+version https://git-lfs.github.com/spec/v1
+oid sha256:355b77aacc66e5aded004e2ef7857a9fc4989c7a14dc3cba3a9cdc8beb4ff9fa
+size 6172911

Transcript Data/audio/CUbujasdDYdz/proplengths

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+{"BucketedData":{"transcript":{"10":2,"11":1,"12":2,"13":2,"14":6,"15":13,"16":11,"17":7,"18":21,"19":12,"20":3,"21":3,"22":2}},"SumData":{"transcript":7554},"CountData":{"transcript":85}}

Transcript Data/audio/CUbujasdDYdz/proplengths.bak

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+{"BucketedData":{"transcript":{"10":2,"11":1,"12":2,"13":2,"14":6,"15":13,"16":11,"17":7,"18":21,"19":12,"20":3,"21":3,"22":2}},"SumData":{"transcript":7554},"CountData":{"transcript":85}}

Transcript Data/audiotranscript/g22qHnWDZIks/proplengths

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+{"BucketedData":{},"SumData":{},"CountData":{}}

Transcript Data/audiotranscript/g22qHnWDZIks/proplengths.bak

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+{"BucketedData":{},"SumData":{},"CountData":{}}

Transcript Data/mainclass/YCrvuxzQv2uE/proplengths

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+{"BucketedData":{},"SumData":{},"CountData":{}}

Transcript Data/mainclass/YCrvuxzQv2uE/proplengths.bak

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+{"BucketedData":{},"SumData":{},"CountData":{}}

app.py

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+import streamlit as st
+from sentence_transformers import SentenceTransformer
+import weaviate
+import base64
+import requests
+
+bg_color = "#343434"  # Set your desired background color
+st.markdown(
+    f"""
+    <style>
+        body {{
+            background-color: {bg_color};
+        }}
+    </style>
+    """,
+    unsafe_allow_html=True,
+)
+
+st.sidebar.header("Try your query on the following: ")
+topics = ["Character", "Compassion", "Culture", "Devotion", "Dharma", "Discipline", "Education", "Festivals",
+          "Gayatri Devi", "God", "Gratitude", "Guru", "Human Values", "India", "Love", "Meditation", "Mind",
+          "Money", "Namasmarana", "Parents", "Pleasure and Pain", "Practice", "Sacrifice", "Sadhana", "Senses",
+          "Service", "Time"]
+for topic in topics:
+    st.sidebar.write(topic)
+
+# Set up the layout using columns
+col1, col2 = st.columns([2, 1])
+
+# Left column: Title, Search Bar, and Search Button
+with col1:
+    st.header('Harmony Hub: Connecting with Spiritual Messages for Inner Peace')
+    query_text = st.text_input('Enter your query:')
+    search_button = st.button('Search')
+
+    # Display the search results
+    if search_button:
+        try:
+            # Encode the query text
+            embedder = SentenceTransformer('all-MiniLM-L6-v2')
+            query_embeddings = embedder.encode([query_text], convert_to_tensor=True)
+            query_vector = query_embeddings.flatten().tolist()
+
+            # Perform Weaviate search
+            client = weaviate.connect_to_embedded(
+                persistence_data_path='/home/msc1/Apps/Transcript Data'
+            )
+            info = client.collections.get("Audio")
+            query_vector = query_vector
+            response = info.query.near_vector(
+                near_vector=query_vector,
+                limit=3,
+                return_properties=["audio", "transcript"]
+            )
+
+            result = {'audio': '', 'transcript': ''}
+            if response.objects:
+                obj = response.objects[0]
+                base64_audio = obj.properties.get("audio", "")
+                transcript = obj.properties.get("transcript", "")
+
+                if base64_audio:
+                    decoded_audio = base64.b64decode(base64_audio.encode("utf-8"))
+                    audio_data = base64.b64encode(decoded_audio).decode("utf-8")
+                    result['audio'] = audio_data
+
+                result['transcript'] = transcript
+
+            # Display audio player and transcript
+            st.audio(base64.b64decode(result['audio']), format='audio/mp3')
+            st.write('Transcript:', result['transcript'])
+
+        except Exception as e:
+            st.write('Error:', str(e))
+
+# Right column: Image
+with col2:
+    image_path = '/home/msc1/Apps/Swami1.jpeg'
+    st.image(image_path, caption='Conscience is our real power, strength, and awareness.', use_column_width=True)
+