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app.py

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+from dataclasses import dataclass
+from typing import Literal
+import streamlit as st
+import os
+from llamaapi import LlamaAPI
+from langchain_experimental.llms import ChatLlamaAPI
+from langchain.embeddings import HuggingFaceEmbeddings
+import pinecone
+from langchain.vectorstores import Pinecone
+from langchain.prompts import PromptTemplate
+from langchain.chains import RetrievalQA
+import streamlit.components.v1 as components
+from langchain_groq import ChatGroq
+from langchain.chains import ConversationalRetrievalChain
+from langchain.memory import ChatMessageHistory, ConversationBufferMemory
+import time
+
+HUGGINGFACEHUB_API_TOKEN = st.secrets['HUGGINGFACEHUB_API_TOKEN']
+
+@dataclass
+class Message:
+    """Class for keeping track of a chat message."""
+    origin: Literal["👤 Human", "👨🏻‍⚖️ Ai"]
+    message: str
+
+
+def download_hugging_face_embeddings():
+    embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2')
+    return embeddings
+
+
+def initialize_session_state():
+    if "history" not in st.session_state:
+        st.session_state.history = []
+    if "conversation" not in st.session_state:
+        llama = LlamaAPI(st.secrets["LlamaAPI"])
+        model = ChatLlamaAPI(client=llama)
+        chat = ChatGroq(temperature=0.5, groq_api_key=st.secrets["Groq_api"], model_name="mixtral-8x7b-32768")
+
+        embeddings = download_hugging_face_embeddings()
+
+        # Initializing the Pinecone
+        pinecone.init(
+            api_key=st.secrets["PINECONE_API_KEY"],  # find at app.pinecone.io
+            environment=st.secrets["PINECONE_API_ENV"]  # next to api key in console
+        )
+        index_name = "legal-advisor"  # put in the name of your pinecone index here
+
+        docsearch = Pinecone.from_existing_index(index_name, embeddings)
+
+        prompt_template = """
+            You are a trained bot to guide people about Indian Law. You will answer user's query with your knowledge and the context provided. 
+            If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
+            Do not say thank you and tell you are an AI Assistant and be open about everything.
+            Use the following pieces of context to answer the users question.
+            Context: {context}
+            Question: {question}
+            Only return the helpful answer below and nothing else.
+            Helpful answer:
+            """
+
+        PROMPT = PromptTemplate(template=prompt_template, input_variables=["context", "question"])
+        
+        #chain_type_kwargs = {"prompt": PROMPT}
+        message_history = ChatMessageHistory()
+        memory = ConversationBufferMemory(
+            memory_key="chat_history",
+            output_key="answer",
+            chat_memory=message_history,
+            return_messages=True,
+            )
+        retrieval_chain = ConversationalRetrievalChain.from_llm(llm=chat,
+                                                      chain_type="stuff",
+                                                      retriever=docsearch.as_retriever(
+                                                          search_kwargs={'k': 2}),
+                                                      return_source_documents=True,
+                                                      combine_docs_chain_kwargs={"prompt": PROMPT},
+                                                      memory= memory
+                                                     )
+
+        st.session_state.conversation = retrieval_chain
+
+
+def on_click_callback():
+    human_prompt = st.session_state.human_prompt
+    st.session_state.human_prompt=""
+    response = st.session_state.conversation(
+        human_prompt
+    )
+    llm_response = response['answer']
+    st.session_state.history.append(
+        Message("👤 Human", human_prompt)
+    )
+    st.session_state.history.append(
+        Message("👨🏻‍⚖️ Ai", llm_response)
+    )
+
+
+initialize_session_state()
+
+st.title("LegalEase Advisor Chatbot 🇮🇳")
+
+st.markdown(
+    """
+    👋 **Namaste! Welcome to LegalEase Advisor!**
+    I'm here to assist you with your legal queries within the framework of Indian law. Whether you're navigating through specific legal issues or seeking general advice, I'm here to help.
+    
+    📚 **How I Can Assist:**
+    
+    - Answer questions on various aspects of Indian law.
+    - Guide you through legal processes relevant to India.
+    - Provide information on your rights and responsibilities as per Indian legal standards.
+    
+    ⚖️ **Disclaimer:**
+    
+    While I can provide general information, it's essential to consult with a qualified Indian attorney for advice tailored to your specific situation.
+    
+    🤖 **Getting Started:**
+    
+    Feel free to ask any legal question related to Indian law, using keywords like "property rights," "labor laws," or "family law." I'm here to assist you!
+
+    Let's get started! How can I assist you today?
+    """
+)
+
+chat_placeholder = st.container()
+prompt_placeholder = st.form("chat-form")
+
+with chat_placeholder:
+    for chat in st.session_state.history:
+        st.markdown(f"{chat.origin} : {chat.message}")
+
+with prompt_placeholder:
+    st.markdown("**Chat**")
+    cols = st.columns((6, 1))
+    cols[0].text_input(
+        "Chat",
+        label_visibility="collapsed",
+        key="human_prompt",
+    )
+    cols[1].form_submit_button(
+        "Submit",
+        type="primary",
+        on_click=on_click_callback,
+    )

requirements.txt

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+aiofiles==23.2.1
+aiohttp==3.9.0
+aiosignal==1.3.1
+altair==5.1.2
+annotated-types==0.6.0
+anyio==3.7.1
+argon2-cffi==23.1.0
+argon2-cffi-bindings==21.2.0
+arrow==1.3.0
+asttokens==2.4.1
+async-lru==2.0.4
+asyncer==0.0.2
+attrs==23.1.0
+Babel==2.13.1
+backoff==2.2.1
+beautifulsoup4==4.12.2
+bidict==0.22.1
+bleach==6.1.0
+blinker==1.7.0
+cachetools==5.3.2
+certifi==2023.11.17
+cffi==1.16.0
+charset-normalizer==3.3.2
+click==8.1.7
+colorama==0.4.6
+comm==0.2.0
+dataclasses-json==0.5.14
+debugpy==1.8.0
+decorator==5.1.1
+defusedxml==0.7.1
+Deprecated==1.2.14
+dnspython==2.4.2
+executing==2.0.1
+faiss-cpu==1.7.4
+fastapi==0.100.1
+fastapi-socketio==0.0.10
+fastjsonschema==2.19.0
+filelock==3.13.1
+filetype==1.2.0
+fqdn==1.5.1
+frozenlist==1.4.0
+fsspec==2023.10.0
+gitdb==4.0.11
+GitPython==3.1.40
+googleapis-common-protos==1.61.0
+greenlet==3.0.1
+grpcio==1.59.3
+h11==0.14.0
+httpcore==0.17.3
+httpx==0.24.1
+huggingface-hub==0.19.4
+idna==3.4
+importlib-metadata==6.8.0
+ipykernel==6.26.0
+ipython==8.17.2
+ipywidgets==8.1.1
+isoduration==20.11.0
+jedi==0.19.1
+Jinja2==3.1.2
+joblib==1.3.2
+json5==0.9.14
+jsonpatch==1.33
+jsonpointer==2.4
+jsonschema==4.20.0
+jsonschema-specifications==2023.11.1
+jupyter-events==0.9.0
+jupyter-lsp==2.2.0
+jupyter_client==8.6.0
+jupyter_core==5.5.0
+jupyter_server==2.10.1
+jupyter_server_terminals==0.4.4
+jupyterlab==4.0.8
+jupyterlab-pygments==0.2.2
+jupyterlab-widgets==3.0.9
+jupyterlab_server==2.25.1
+langchain
+langchain-experimental
+langsmith
+Lazify==0.4.0
+llamaapi
+loguru==0.7.2
+markdown-it-py==3.0.0
+MarkupSafe==2.1.3
+marshmallow==3.20.1
+matplotlib-inline==0.1.6
+mdurl==0.1.2
+mistune==3.0.2
+mpmath==1.3.0
+multidict==6.0.4
+mypy-extensions==1.0.0
+nbclient==0.9.0
+nbconvert==7.11.0
+nbformat==5.9.2
+nest-asyncio==1.5.8
+networkx==3.2.1
+nltk==3.8.1
+notebook==7.0.6
+notebook_shim==0.2.3
+numpy==1.26.2
+opentelemetry-api==1.21.0
+opentelemetry-exporter-otlp==1.21.0
+opentelemetry-exporter-otlp-proto-common==1.21.0
+opentelemetry-exporter-otlp-proto-grpc==1.21.0
+opentelemetry-exporter-otlp-proto-http==1.21.0
+opentelemetry-instrumentation==0.42b0
+opentelemetry-proto==1.21.0
+opentelemetry-sdk==1.21.0
+opentelemetry-semantic-conventions==0.42b0
+overrides==7.4.0
+packaging==23.2
+pandas==2.1.3
+pandocfilters==1.5.0
+parso==0.8.3
+Pillow==10.1.0
+pinecone-client==2.2.4
+platformdirs==4.0.0
+prometheus-client==0.18.0
+prompt-toolkit==3.0.41
+protobuf==4.25.1
+psutil==5.9.6
+pure-eval==0.2.2
+pyarrow==14.0.1
+pycparser==2.21
+pydantic==2.5.1
+pydantic_core==2.14.3
+pydeck==0.8.1b0
+Pygments==2.16.1
+PyJWT==2.8.0
+pypdf==3.17.1
+pypdfium2==4.24.0
+python-dateutil==2.8.2
+python-dotenv==1.0.0
+python-engineio==4.8.0
+python-graphql-client==0.4.3
+python-json-logger==2.0.7
+python-multipart==0.0.6
+python-socketio==5.10.0
+pytz==2023.3.post1
+PyYAML==6.0.1
+pyzmq==25.1.1
+referencing==0.31.0
+regex==2023.10.3
+requests==2.31.0
+rfc3339-validator==0.1.4
+rfc3986-validator==0.1.1
+rich==13.7.0
+rpds-py==0.13.0
+safetensors==0.4.0
+scikit-learn==1.3.2
+scipy==1.11.4
+Send2Trash==1.8.2
+sentence-transformers==2.2.2
+sentencepiece==0.1.99
+simple-websocket==1.0.0
+six==1.16.0
+smmap==5.0.1
+sniffio==1.3.0
+soupsieve==2.5
+SQLAlchemy==2.0.23
+stack-data==0.6.3
+starlette==0.27.0
+streamlit==1.28.2
+sympy==1.12
+syncer==2.0.3
+tenacity==8.2.3
+terminado==0.18.0
+threadpoolctl==3.2.0
+tinycss2==1.2.1
+tokenizers==0.15.0
+toml==0.10.2
+tomli==2.0.1
+toolz==0.12.0
+torch==2.1.1
+torchvision==0.16.1
+tornado==6.3.3
+tqdm==4.66.1
+traitlets==5.13.0
+transformers==4.35.2
+types-python-dateutil==2.8.19.14
+typing-inspect==0.9.0
+typing_extensions==4.8.0
+tzdata==2023.3
+tzlocal==5.2
+uptrace==1.21.0
+uri-template==1.3.0
+urllib3==2.1.0
+uvicorn==0.23.2
+validators==0.22.0
+watchdog==3.0.0
+watchfiles==0.20.0
+wcwidth==0.2.10
+webcolors==1.13
+webencodings==0.5.1
+websocket-client==1.6.4
+websockets==12.0
+widgetsnbextension==4.0.9
+win32-setctime==1.1.0
+wrapt==1.16.0
+wsproto==1.2.0
+yarl==1.9.2
+zipp==3.17.0
+langchain-groq