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.env

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+GROQ_API_KEY = "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"

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+model/llama-2-7b-chat.ggmlv3.q4_0.bin

app.py

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+from flask import Flask, render_template, jsonify, request
+from src.helper import download_hugging_face_embeddings
+
+from langchain_community.vectorstores import FAISS
+
+from langchain.prompts import PromptTemplate
+from langchain_groq import ChatGroq
+# from langchain.llms import CTransformers
+from langchain.chains import RetrievalQA
+from langchain_core.prompts import ChatPromptTemplate
+from dotenv import load_dotenv
+from src.prompt import *
+import os
+from store_index import create_vector_db
+app = Flask(__name__)
+
+# load_dotenv()
+
+# PINECONE_API_KEY = os.environ.get('PINECONE_API_KEY')
+# PINECONE_API_ENV = os.environ.get('PINECONE_API_ENV')
+
+
+# DATA_PATH = '/kaggle/input/book-pdf'
+# DB_FAISS_PATH = r'G:\Chatbot\data\vector'
+
+# Create vector database
+create_vector_db()
+print("###333")
+# Call the function directly in the cell
+
+'''#Initializing the Pinecone
+pinecone.init(api_key=PINECONE_API_KEY,
+              environment=PINECONE_API_ENV)
+
+index_name="medical-bot"'''
+
+embeddings = download_hugging_face_embeddings()
+# Load the FAISS vector database
+
+# also i change here
+# db = FAISS.load_local(DB_FAISS_PATH, embeddings)
+DB_FAISS_PATH = r'G:\Chatbot\data\vector'
+print("vector_base is loading from the folder")
+db = FAISS.load_local(DB_FAISS_PATH, embeddings,
+                      allow_dangerous_deserialization=True)
+# Loading the index
+# db = FAISS.load_local(r"G:\Chatbot\DB_FAISS_PATH",embeddings, allow_dangerous_deserialization=True)
+
+
+# docsearch=Pinecone.from_existing_index(index_name, embeddings)
+
+# Create a ChatPromptTemplate
+prompt = ChatPromptTemplate.from_template(prompt_template)
+
+chain_type_kwargs = {"prompt": prompt}
+
+'''PROMPT = PromptTemplate(template=prompt_template,
+                        input_variables=["context", "question"])
+
+chain_type_kwargs = {"prompt": PROMPT}'''
+
+'''llm = CTransformers(model=r"G:\Chatbot\model\llama-2-7b-chat.ggmlv3.q4_0.bin",
+                    model_type="llama",
+                    config={'max_new_tokens': 512,
+                            'temperature': 0.8})'''
+
+# Initialize the LLM
+# llm = ChatGroq(groq_api_key=groq_api_key, model_name="Llama3-8b-8192")
+# groq_api_key = ('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')
+# Load the GROQ and OpenAI API keys
+groq_api_key = os.getenv('GROQ_API_KEY')
+# os.environ["GOOGLE_API_KEY"] = os.getenv("GOOGLE_API_KEY")
+# Initialize the LLM
+llm = ChatGroq(groq_api_key=groq_api_key,
+               model_name="Llama3-8b-8192")
+
+
+qa = RetrievalQA.from_chain_type(
+    llm=llm,
+    chain_type="stuff",
+    retriever=db.as_retriever(search_kwargs={'k': 2}),
+    return_source_documents=True,
+    chain_type_kwargs=chain_type_kwargs)
+
+
+@app.route("/")
+def index():
+    return render_template('chat.html')
+
+
+@app.route("/get", methods=["GET", "POST"])
+def chat():
+    msg = request.form["msg"]
+    input = msg
+    print(input)
+    result = qa({"query": input})
+    print("Response : ", result["result"])
+    return str(result["result"])
+
+
+if __name__ == '__main__':
+    app.run(host="0.0.0.0", port=8080, debug=True)

requirements.txt

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+ctransformers==0.2.5
+#sentence-transformers==2.2.2
+faiss-cpu
+#langchain==0.0.225
+flask
+pypdf
+python-dotenv
+gradio
+#faiss-cpu
+sentence-transformers
+langchain_community
+langchain
+langchain_groq
+langchain_openai
+
+-e .