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.ragatouille/colbert/indexes/cbseclass10index/buckets.pt

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.ragatouille/colbert/indexes/cbseclass10index/ivf.pid.pt

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+      [
+        "chemistry-notes-CBSE class-10-chapter-1.txt\nChemical Reactions and Equations\nIntroduction to Chemical Reactions and Equations\nPhysical and chemical changes\nChemical change - one or more new substances with new physical and chemical properties\nare formed.\nExample: Fe(s)\u00a0 + \u00a0CuSO 4(aq) \u2192FeSO 4(aq) +Cu(s)\u00a0\n \u00a0 \u00a0 \u00a0 (Blue)\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 (Green)\u00a0 \u00a0 \u00a0 \u00a0\nHere, when copper sulphate reacts with iron, two new substances, i.e., ferrous sulphate and\ncopper are formed.\nPhysical change - change in colour or state occurs but no new substance is formed.\nExample: Water changes to steam on boiling but no new substance is formed(Even though\nsteam and water look different when they are made to react with a piece of Na, they react\nthe same way and give the exact same products). This involves only change in state (liquid\nto vapour).",
+        "Example: Water changes to steam on boiling but no new substance is formed(Even though\nsteam and water look different when they are made to react with a piece of Na, they react\nthe same way and give the exact same products). This involves only change in state (liquid\nto vapour).\u00a0\nObservations that help determine a chemical reaction\nA chemical reaction can be determined with the help of any of the following observations:\na) Evolution of a gas\nb) Change in temperature\nc) Formation of a precipitate\nd) Change in colour\ne) Change of state\nChemical reaction\nChemical reactions are chemical changes in which reactants transform into products by\nmaking or breaking of bonds(or both) between different atoms.\nTypes of chemical reactionsTaking into consideration different factors, chemical reactions are grouped into multiple\ncategories.\nFew examples are:\n\u25cfCombination\n\u25cfDecomposition\n\u25cfSingle Displacement\n\u25cfDouble displacement\n\u25cfRedox\n\u25cfEndothermic\n\u25cfExothermic\n\u25cfPrecipitation\n\u25cfNeutralisation\nChemical Reactions and Equations I\nWord equation\nA\u00a0 word equation is a\u00a0chemical reaction\u00a0expressed in words rather than\u00a0chemical\nformulas.",
+        "It helps identify the reactants and products in a chemical reaction.\nFor example,\u00a0\nSodium + Chlorine \u2192 Sodium chloride\nThe above equation means: \"Sodium reacts with chlorine to form sodium chloride.\"\u00a0\nSymbols of elements and their valencies\nA symbol is the chemical code for an element. Each element has one or two letter atomic"
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+}

.ragatouille/colbert/indexes/cbseclass10index/plan.json

@@ -0,0 +1,64 @@
+{
+    "config": {
+        "query_token_id": "[unused0]",
+        "doc_token_id": "[unused1]",
+        "query_token": "[Q]",
+        "doc_token": "[D]",
+        "ncells": null,
+        "centroid_score_threshold": null,
+        "ndocs": null,
+        "load_index_with_mmap": false,
+        "index_path": null,
+        "index_bsize": 32,
+        "nbits": 8,
+        "kmeans_niters": 20,
+        "resume": false,
+        "similarity": "cosine",
+        "bsize": 64,
+        "accumsteps": 1,
+        "lr": 1e-5,
+        "maxsteps": 400000,
+        "save_every": null,
+        "warmup": 20000,
+        "warmup_bert": null,
+        "relu": false,
+        "nway": 64,
+        "use_ib_negatives": true,
+        "reranker": false,
+        "distillation_alpha": 1.0,
+        "ignore_scores": false,
+        "model_name": null,
+        "query_maxlen": 32,
+        "attend_to_mask_tokens": false,
+        "interaction": "colbert",
+        "dim": 128,
+        "doc_maxlen": 256,
+        "mask_punctuation": true,
+        "checkpoint": "colbert-ir\/colbertv2.0",
+        "triples": "\/future\/u\/okhattab\/root\/unit\/experiments\/2021.10\/downstream.distillation.round2.2_score\/round2.nway6.cosine.ib\/examples.64.json",
+        "collection": [
+            "list with 326 elements starting with...",
+            [
+                "chemistry-notes-CBSE class-10-chapter-1.txt\nChemical Reactions and Equations\nIntroduction to Chemical Reactions and Equations\nPhysical and chemical changes\nChemical change - one or more new substances with new physical and chemical properties\nare formed.\nExample: Fe(s)\u00a0 + \u00a0CuSO 4(aq) \u2192FeSO 4(aq) +Cu(s)\u00a0\n \u00a0 \u00a0 \u00a0 (Blue)\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 (Green)\u00a0 \u00a0 \u00a0 \u00a0\nHere, when copper sulphate reacts with iron, two new substances, i.e., ferrous sulphate and\ncopper are formed.\nPhysical change - change in colour or state occurs but no new substance is formed.\nExample: Water changes to steam on boiling but no new substance is formed(Even though\nsteam and water look different when they are made to react with a piece of Na, they react\nthe same way and give the exact same products). This involves only change in state (liquid\nto vapour).",
+                "Example: Water changes to steam on boiling but no new substance is formed(Even though\nsteam and water look different when they are made to react with a piece of Na, they react\nthe same way and give the exact same products). This involves only change in state (liquid\nto vapour).\u00a0\nObservations that help determine a chemical reaction\nA chemical reaction can be determined with the help of any of the following observations:\na) Evolution of a gas\nb) Change in temperature\nc) Formation of a precipitate\nd) Change in colour\ne) Change of state\nChemical reaction\nChemical reactions are chemical changes in which reactants transform into products by\nmaking or breaking of bonds(or both) between different atoms.\nTypes of chemical reactionsTaking into consideration different factors, chemical reactions are grouped into multiple\ncategories.\nFew examples are:\n\u25cfCombination\n\u25cfDecomposition\n\u25cfSingle Displacement\n\u25cfDouble displacement\n\u25cfRedox\n\u25cfEndothermic\n\u25cfExothermic\n\u25cfPrecipitation\n\u25cfNeutralisation\nChemical Reactions and Equations I\nWord equation\nA\u00a0 word equation is a\u00a0chemical reaction\u00a0expressed in words rather than\u00a0chemical\nformulas.",
+                "It helps identify the reactants and products in a chemical reaction.\nFor example,\u00a0\nSodium + Chlorine \u2192 Sodium chloride\nThe above equation means: \"Sodium reacts with chlorine to form sodium chloride.\"\u00a0\nSymbols of elements and their valencies\nA symbol is the chemical code for an element. Each element has one or two letter atomic"
+            ]
+        ],
+        "queries": "\/future\/u\/okhattab\/data\/MSMARCO\/queries.train.tsv",
+        "index_name": "cbseclass10index",
+        "overwrite": false,
+        "root": ".ragatouille\/",
+        "experiment": "colbert",
+        "index_root": null,
+        "name": "2024-04\/18\/18.31.20",
+        "rank": 0,
+        "nranks": 1,
+        "amp": true,
+        "gpus": 1,
+        "avoid_fork_if_possible": false
+    },
+    "num_chunks": 1,
+    "num_partitions": 2048,
+    "num_embeddings_est": 53942.0016784668,
+    "avg_doclen_est": 165.4662628173828
+}

README.md

@@ -1,12 +1,12 @@
 ---
-title: CHEERFUL CBSE
-emoji: 📊
-colorFrom: indigo
-colorTo: red
+title: Expenditure Observer AI Assistant
+emoji: 📚
+colorFrom: red
+colorTo: indigo
 sdk: gradio
-sdk_version: 4.26.0
+sdk_version: 4.7.1
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app (1).py

@@ -0,0 +1,242 @@
+
+from ragatouille import RAGPretrainedModel
+import subprocess
+import json
+import firebase_admin
+from firebase_admin import credentials, firestore
+import logging
+from pathlib import Path
+from time import perf_counter
+from datetime import datetime
+import gradio as gr
+from jinja2 import Environment, FileSystemLoader
+import numpy as np
+from sentence_transformers import CrossEncoder
+
+from backend.query_llm import generate_hf, generate_openai
+from backend.semantic_search import table, retriever
+
+VECTOR_COLUMN_NAME = "vector"
+TEXT_COLUMN_NAME = "text"
+
+proj_dir = Path(__file__).parent
+# Setting up the logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Set up the template environment with the templates directory
+env = Environment(loader=FileSystemLoader(proj_dir / 'templates'))
+
+# Load the templates directly from the environment
+template = env.get_template('template.j2')
+template_html = env.get_template('template_html.j2')
+service_account_key='firebase.json'
+# Create a Certificate object from the service account info
+cred = credentials.Certificate(service_account_key)
+# Initialize the Firebase Admin 
+firebase_admin.initialize_app(cred)
+
+# # Create a reference to the Firestore database
+db = firestore.client()
+
+# Examples
+examples = ['when i have to report to constituency?','what is social media and what are rules related to it for expenditure monitoring ',
+            'how many reports to be submitted by Expenditure observer with annexure names ?','what is expenditure limits for parlimentary constituency and assembly constituency'
+            ]
+#db usage
+collection_name = 'Nirvachana'  # Replace with your collection name
+field_name = 'message_count'  # Replace with your field name for count
+
+
+def get_and_increment_value_count(db , collection_name, field_name):
+    """
+    Retrieves a value count from the specified Firestore collection and field,
+    increments it by 1, and updates the field with the new value."""
+    collection_ref = db.collection(collection_name)
+    doc_ref = collection_ref.document('count_doc')  # Assuming a dedicated document for count
+
+    # Use a transaction to ensure consistency across reads and writes
+    try:
+        with db.transaction() as transaction:
+            # Get the current value count (or initialize to 0 if it doesn't exist)
+            current_count_doc = doc_ref.get()
+            current_count_data = current_count_doc.to_dict()
+            if current_count_data:
+                current_count = current_count_data.get(field_name, 0)
+            else:
+                current_count = 0
+            # Increment the count
+            new_count = current_count + 1
+            # Update the document with the new count
+            transaction.set(doc_ref, {field_name: new_count})
+            return new_count
+    except Exception as e:
+        print(f"Error retrieving and updating value count: {e}")
+        return None  # Indicate error
+        
+def update_count_html():
+    usage_count = get_and_increment_value_count(db ,collection_name, field_name)
+    ccount_html = gr.HTML(value=f"""
+    <div style="display: flex; justify-content: flex-end;">
+        <span style="font-weight: bold; color: maroon; font-size: 18px;">No of Usages:</span>
+        <span style="font-weight: bold; color: maroon; font-size: 18px;">{usage_count}</span>
+    </div>
+""")
+    return count_html
+    
+def store_message(db,query,answer,cross_encoder):
+    timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+    # Create a new document reference with a dynamic document name based on timestamp
+    new_completion= db.collection('Nirvachana').document(f"chatlogs_{timestamp}")
+    new_completion.set({
+        'query': query,
+        'answer':answer,
+        'created_time': firestore.SERVER_TIMESTAMP,
+        'embedding': cross_encoder,
+        'title': 'Expenditure observer bot'
+    })
+
+
+def add_text(history, text):
+    history = [] if history is None else history
+    history = history + [(text, None)]
+    return history, gr.Textbox(value="", interactive=False)
+
+
+def bot(history, cross_encoder):
+    top_rerank = 15
+    top_k_rank = 10
+    query = history[-1][0]
+
+    if not query:
+         gr.Warning("Please submit a non-empty string as a prompt")
+         raise ValueError("Empty string was submitted")
+
+    logger.warning('Retrieving documents...')
+    
+    # if COLBERT RAGATATOUILLE PROCEDURE  : 
+    if cross_encoder=='(HIGH ACCURATE) ColBERT':
+        gr.Warning('Retrieving using ColBERT.. First time query will take a minute for model to load..pls wait')
+        RAG= RAGPretrainedModel.from_pretrained("colbert-ir/colbertv2.0")
+        RAG_db=RAG.from_index('.ragatouille/colbert/indexes/mockingbird')
+        documents_full=RAG_db.search(query,k=top_k_rank)
+        
+        documents=[item['content'] for item in documents_full]
+        # Create Prompt
+        prompt = template.render(documents=documents, query=query)
+        prompt_html = template_html.render(documents=documents, query=query)
+    
+        generate_fn = generate_hf
+    
+        history[-1][1] = ""
+        for character in generate_fn(prompt, history[:-1]):
+            history[-1][1] = character
+            print('Final history is ',history)
+            yield history, prompt_html
+        store_message(db,history[-1][0],history[-1][1],cross_encoder)
+    else:
+        # Retrieve documents relevant to query
+        document_start = perf_counter()
+    
+        query_vec = retriever.encode(query)
+        logger.warning(f'Finished query vec')
+        doc1 = table.search(query_vec, vector_column_name=VECTOR_COLUMN_NAME).limit(top_k_rank)
+    
+        
+    
+        logger.warning(f'Finished search')
+        documents = table.search(query_vec, vector_column_name=VECTOR_COLUMN_NAME).limit(top_rerank).to_list()
+        documents = [doc[TEXT_COLUMN_NAME] for doc in documents]
+        logger.warning(f'start cross encoder {len(documents)}')
+        # Retrieve documents relevant to query
+        query_doc_pair = [[query, doc] for doc in documents]
+        if cross_encoder=='(FAST) MiniLM-L6v2' :
+               cross_encoder1 = CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2') 
+        elif cross_encoder=='(ACCURATE) BGE reranker':
+               cross_encoder1 = CrossEncoder('BAAI/bge-reranker-base')
+        
+        cross_scores = cross_encoder1.predict(query_doc_pair)
+        sim_scores_argsort = list(reversed(np.argsort(cross_scores)))
+        logger.warning(f'Finished cross encoder {len(documents)}')
+        
+        documents = [documents[idx] for idx in sim_scores_argsort[:top_k_rank]]
+        logger.warning(f'num documents {len(documents)}')
+    
+        document_time = perf_counter() - document_start
+        logger.warning(f'Finished Retrieving documents in {round(document_time, 2)} seconds...')
+    
+        # Create Prompt
+        prompt = template.render(documents=documents, query=query)
+        prompt_html = template_html.render(documents=documents, query=query)
+    
+        generate_fn = generate_hf
+    
+        history[-1][1] = ""
+        for character in generate_fn(prompt, history[:-1]):
+            history[-1][1] = character
+            print('Final history is ',history)
+            yield history, prompt_html
+        store_message(db,history[-1][0],history[-1][1],cross_encoder)
+
+
+with gr.Blocks(theme='Insuz/SimpleIndigo') as demo:
+    gr.HTML(value="""<div style="display: flex; align-items: center; justify-content: space-between;">
+    <h1 style="color: #008000">NIRVACHANA - <span style="color: #008000">Expenditure Observer AI Assistant</span></h1>
+    <img src='logo.png' alt="Chatbot" width="50" height="50" />
+    </div>""",elem_id='heading')
+    gr.HTML(value=f"""
+    <p style="font-family: sans-serif; font-size: 16px;">
+      A free chat bot assistant for Expenditure Observers on Compendium on Election Expenditure Monitoring using Open source LLMs. <br>
+      The bot can answer questions in natural language, taking relevant extracts from the ECI document which can be accessed <a href="https://www.eci.gov.in/eci-backend/public/api/download?url=LMAhAK6sOPBp%2FNFF0iRfXbEB1EVSLT41NNLRjYNJJP1KivrUxbfqkDatmHy12e%2Fzk1vx4ptJpQsKYHA87guoLjnPUWtHeZgKtEqs%2FyzfTTYIC0newOHHOjl1rl0u3mJBSIq%2Fi7zDsrcP74v%2FKr8UNw%3D%3D" style="color: #00008B; text-decoration: none;">CLICK HERE !</a>.
+    </p>
+    """, elem_id='Sub-heading')
+    usage_count = get_and_increment_value_count(db,collection_name, field_name)
+    gr.HTML(value=f"""<p style="font-family: Arial, sans-serif; font-size: 16px;">Developed by Ramesh M IRS (C& CE) (R-19187), Suggestions may be sent to <a href="mailto:[email protected]" style="color: #00008B; font-style: italic;">[email protected]</a>.</p>""", elem_id='Sub-heading1 ')
+    count_html = gr.HTML(value=f"""
+    <div style="display: flex; justify-content: flex-end;">
+        <span style="font-weight: bold; color: maroon; font-size: 18px;">No of Usages:</span>
+        <span style="font-weight: bold; color: maroon; font-size: 18px;">{usage_count}</span>
+    </div>
+""")
+   
+    chatbot = gr.Chatbot(
+            [],
+            elem_id="chatbot",
+            avatar_images=('https://aui.atlassian.com/aui/8.8/docs/images/avatar-person.svg',
+                           'https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.svg'),
+            bubble_full_width=False,
+            show_copy_button=True,
+            show_share_button=True,
+            )
+
+    with gr.Row():
+        txt = gr.Textbox(
+                scale=3,
+                show_label=False,
+                placeholder="Enter text and press enter",
+                container=False,
+                )
+        txt_btn = gr.Button(value="Submit text", scale=1)
+
+    cross_encoder = gr.Radio(choices=['(FAST) MiniLM-L6v2','(ACCURATE) BGE reranker','(HIGH ACCURATE) ColBERT'], value='(ACCURATE) BGE reranker',label="Embeddings", info="Only First query to Colbert may take litte time)")
+
+    prompt_html = gr.HTML()
+    # Turn off interactivity while generating if you click
+    txt_msg = txt_btn.click(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
+            bot, [chatbot, cross_encoder], [chatbot, prompt_html]).then(update_count_html,[],[count_html])
+
+    # Turn it back on
+    txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
+
+    # Turn off interactivity while generating if you hit enter
+    txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
+            bot, [chatbot, cross_encoder], [chatbot, prompt_html]).then(update_count_html,[],[count_html])
+
+    # Turn it back on
+    txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
+
+    # Examples
+    gr.Examples(examples, txt)
+
+demo.queue()
+demo.launch(debug=True)

lancedb1/cbse_class10_science.lance/_transactions/0-2f4d59b6-1ec8-4d50-a5f0-32a1f0bf113f.txn

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8

requirements (2).txt

@@ -0,0 +1,8 @@
+
+sentence-transformers==2.6.1
+firebase_admin
+huggingface-hub==0.19.3
+
+ragatouille
+transformers
+lancedb