init

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+data/MINI[[:space:]]PROJECT[[:space:]]REPORT_finallllll.pdf filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,74 @@
+import streamlit as st
+from streamlit_chat import message
+from langchain.chains import ConversationalRetrievalChain
+from langchain.document_loaders import PyPDFLoader, DirectoryLoader
+from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.llms import CTransformers
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.vectorstores import FAISS
+from langchain.memory import ConversationBufferMemory
+
+
+loader = DirectoryLoader('data/',glob="*.pdf",loader_cls=PyPDFLoader)
+documents = loader.load()
+
+text_splitter  = RecursiveCharacterTextSplitter(chunk_size=500,chunk_overlap=50)
+text_chunks = text_splitter.split_documents(documents)
+
+embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2",
+                                   model_kwargs={'device':"cpu"})
+
+#vectorstore
+vector_store = FAISS.from_documents(text_chunks,embeddings)
+
+#create llm
+llm = CTransformers(model="llama-2-7b-chat.ggmlv3.q2_K.bin",model_type="llama",
+                    config={'max_new_tokens':128,'temperature':0.01})
+
+memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
+
+chain = ConversationalRetrievalChain.from_llm(llm=llm,chain_type='stuff',
+                                              retriever=vector_store.as_retriever(search_kwargs={"k":2}),
+                                              memory=memory)
+
+st.title("HealthCare ChatBot 🧑🏽‍⚕️")
+def conversation_chat(query):
+    result = chain({"question": query, "chat_history": st.session_state['history']})
+    st.session_state['history'].append((query, result["answer"]))
+    return result["answer"]
+
+def initialize_session_state():
+    if 'history' not in st.session_state:
+        st.session_state['history'] = []
+
+    if 'generated' not in st.session_state:
+        st.session_state['generated'] = ["Hello! Ask me anything about 🤗"]
+
+    if 'past' not in st.session_state:
+        st.session_state['past'] = ["Hey! 👋"]
+
+def display_chat_history():
+    reply_container = st.container()
+    container = st.container()
+
+    with container:
+        with st.form(key='my_form', clear_on_submit=True):
+            user_input = st.text_input("Question:", placeholder="Ask about your Mental Health", key='input')
+            submit_button = st.form_submit_button(label='Send')
+
+        if submit_button and user_input:
+            output = conversation_chat(user_input)
+
+            st.session_state['past'].append(user_input)
+            st.session_state['generated'].append(output)
+
+    if st.session_state['generated']:
+        with reply_container:
+            for i in range(len(st.session_state['generated'])):
+                message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="thumbs")
+                message(st.session_state["generated"][i], key=str(i), avatar_style="fun-emoji")
+
+# Initialize session state
+initialize_session_state()
+# Display chat history
+display_chat_history()

data/MINI PROJECT REPORT_finallllll.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d5bbae2477549080967c1caf11ab6b5bfee926e1fd224a0d2aa79e177d8111b
+size 1618297

requirements.txt

@@ -0,0 +1,95 @@
+accelerate==0.23.0
+aiohttp==3.8.5
+aiosignal==1.3.1
+altair==5.1.1
+annotated-types==0.5.0
+async-timeout==4.0.3
+attrs==23.1.0
+blinker==1.6.2
+cachetools==5.3.1
+certifi==2023.7.22
+charset-normalizer==3.2.0
+click==8.1.7
+colorama==0.4.6
+ctransformers==0.2.27
+dataclasses-json==0.5.14
+faiss-cpu==1.7.4
+filelock==3.12.4
+frozenlist==1.4.0
+fsspec==2023.9.1
+gitdb==4.0.10
+GitPython==3.1.36
+greenlet==2.0.2
+huggingface-hub==0.17.1
+idna==3.4
+importlib-metadata==6.8.0
+Jinja2==3.1.2
+joblib==1.3.2
+jsonschema==4.19.0
+jsonschema-specifications==2023.7.1
+langchain==0.0.292
+langsmith==0.0.38
+markdown-it-py==3.0.0
+MarkupSafe==2.1.3
+marshmallow==3.20.1
+mdurl==0.1.2
+mpmath==1.3.0
+multidict==6.0.4
+mypy-extensions==1.0.0
+networkx==3.1
+nltk==3.8.1
+numexpr==2.8.6
+numpy==1.26.0
+packaging==23.1
+pandas==2.1.0
+Pillow==9.5.0
+protobuf==4.24.3
+psutil==5.9.5
+py-cpuinfo==9.0.0
+pyarrow==13.0.0
+pydantic==2.3.0
+pydantic_core==2.6.3
+pydeck==0.8.0
+Pygments==2.16.1
+Pympler==1.0.1
+pypdf==3.16.1
+python-dateutil==2.8.2
+pytz==2023.3.post1
+pytz-deprecation-shim==0.1.0.post0
+PyYAML==6.0.1
+referencing==0.30.2
+regex==2023.8.8
+requests==2.31.0
+rich==13.5.3
+rpds-py==0.10.3
+safetensors==0.3.3
+scikit-learn==1.3.0
+scipy==1.11.2
+sentence-transformers==2.2.2
+sentencepiece==0.1.99
+six==1.16.0
+smmap==5.0.1
+SQLAlchemy==2.0.20
+streamlit==1.26.0
+streamlit-chat==0.1.1
+sympy==1.12
+tenacity==8.2.3
+threadpoolctl==3.2.0
+tiktoken==0.5.1
+tokenizers==0.13.3
+toml==0.10.2
+toolz==0.12.0
+torch==2.0.1
+torchvision==0.15.2
+tornado==6.3.3
+tqdm==4.66.1
+transformers==4.33.2
+typing-inspect==0.9.0
+typing_extensions==4.8.0
+tzdata==2023.3
+tzlocal==4.3.1
+urllib3==2.0.4
+validators==0.22.0
+watchdog==3.0.0
+yarl==1.9.2
+zipp==3.16.2