first commit

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Local folder
+local_folder
+project_demo
+project_demo/
+logs/
+local_folder/
+/demo.py
+demo.py
+runs/
+downloaded_paper.pdf/
+
+# Large folders
+weights/
+videos/
+images/
+
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+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
+
+.vscode
+
+# 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/
+
+# 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
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.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
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+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/

app.py

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+import urllib
+import warnings
+from pathlib import Path
+import os
+import gradio as gr
+from langchain import PromptTemplate
+from langchain.chains.question_answering import load_qa_chain
+from langchain.document_loaders import PyPDFLoader
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_google_genai import ChatGoogleGenerativeAI
+import google.generativeai as genai
+import pandas as pd
+
+from dotenv import load_dotenv
+load_dotenv()  # take environment variables from .env.
+
+
+# Fungsi untuk inisialisasi
+def initialize(link, question):
+
+    # Konfigurasikan kunci API
+    os.getenv("GOOGLE_API_KEY")
+    genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+    model = genai.GenerativeModel('gemini-pro')
+
+    model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.3)
+
+    prompt_template = """Answer the question as precise as possible using the provided context. If the answer is
+                          not contained in the context, say "answer not available in context" \n\n
+                          Context: \n {context}?\n
+                          Question: \n {question} \n
+                          Answer:
+                        """
+
+    prompt = PromptTemplate(template=prompt_template, input_variables=["context", "question"])
+
+    # Download PDF dari URL yang diberikan
+    pdf_file = "downloaded_paper.pdf"
+    urllib.request.urlretrieve(link, pdf_file)
+
+    # Load the PDF
+    pdf_loader = PyPDFLoader(pdf_file)
+    pages = pdf_loader.load_and_split()
+
+    # Process the file content and use it as the context
+    context = "\n".join(str(page.page_content) for page in pages[:30])
+
+    stuff_chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)
+
+    stuff_answer = stuff_chain({"input_documents": pages, "question": question, "context": context}, return_only_outputs=True)
+    
+    return stuff_answer['output_text']
+
+# Membuat antarmuka pengguna
+with gr.Blocks() as demo:
+    gr.Markdown('# RAG Q&A Bot with Gemini - Pro')
+    gr.Markdown('### Hands-On LLM')
+    
+    link_input = gr.Textbox(label="Input Link Paper atau PDF", placeholder="Paste PDF disini")
+    question_input = gr.Textbox(label="Tanyakan Dokumen", placeholder="Tanyakan Dokumen:")
+    chatbot = gr.Textbox(label="Answer - GeminiPro")
+
+    ask_button = gr.Button("Ask Question")
+    ask_button.click(initialize, inputs=[link_input, question_input], outputs=[chatbot])
+
+# Meluncurkan antarmuka pengguna
+demo.queue().launch(debug=True)

requirements.txt

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+urllib3
+gradio
+pandas
+langchain
+langchain_google_genai==0.0.4
+pypdf