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Releasing ChatLGONoData
Browse files- .chainlit/config.toml +84 -0
- __pycache__/app.cpython-311.pyc +0 -0
- app.py +8 -6
.chainlit/config.toml
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[project]
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# Whether to enable telemetry (default: true). No personal data is collected.
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enable_telemetry = true
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# List of environment variables to be provided by each user to use the app.
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user_env = []
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# Duration (in seconds) during which the session is saved when the connection is lost
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session_timeout = 3600
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# Enable third parties caching (e.g LangChain cache)
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cache = false
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# Follow symlink for asset mount (see https://github.com/Chainlit/chainlit/issues/317)
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# follow_symlink = false
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[features]
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# Show the prompt playground
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prompt_playground = true
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# Process and display HTML in messages. This can be a security risk (see https://stackoverflow.com/questions/19603097/why-is-it-dangerous-to-render-user-generated-html-or-javascript)
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unsafe_allow_html = false
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# Process and display mathematical expressions. This can clash with "$" characters in messages.
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latex = false
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# Authorize users to upload files with messages
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multi_modal = true
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# Allows user to use speech to text
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[features.speech_to_text]
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enabled = false
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# See all languages here https://github.com/JamesBrill/react-speech-recognition/blob/HEAD/docs/API.md#language-string
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# language = "en-US"
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[UI]
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# Name of the app and chatbot.
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name = "Chatbot"
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# Show the readme while the conversation is empty.
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show_readme_as_default = true
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# Description of the app and chatbot. This is used for HTML tags.
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# description = ""
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# Large size content are by default collapsed for a cleaner ui
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default_collapse_content = true
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# The default value for the expand messages settings.
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default_expand_messages = false
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# Hide the chain of thought details from the user in the UI.
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hide_cot = false
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# Link to your github repo. This will add a github button in the UI's header.
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# github = ""
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# Specify a CSS file that can be used to customize the user interface.
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# The CSS file can be served from the public directory or via an external link.
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# custom_css = "/public/test.css"
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# Override default MUI light theme. (Check theme.ts)
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[UI.theme.light]
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#background = "#FAFAFA"
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#paper = "#FFFFFF"
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[UI.theme.light.primary]
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#main = "#F80061"
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#dark = "#980039"
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#light = "#FFE7EB"
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# Override default MUI dark theme. (Check theme.ts)
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[UI.theme.dark]
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#background = "#FAFAFA"
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#paper = "#FFFFFF"
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[UI.theme.dark.primary]
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#main = "#F80061"
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#dark = "#980039"
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#light = "#FFE7EB"
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[meta]
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generated_by = "0.7.700"
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__pycache__/app.cpython-311.pyc
ADDED
Binary file (5 kB). View file
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app.py
CHANGED
@@ -16,11 +16,7 @@ from llama_index.query_engine import SubQuestionQueryEngine
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from llama_index.embeddings import HuggingFaceEmbedding
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from chainlit.types import AskFileResponse
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from llama_index import download_loader
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print("Loading Storage Context...")
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storage_context = StorageContext.from_defaults(persist_dir="index/")
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print("Loading Index...")
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index = load_index_from_storage(storage_context)
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def process_file(file: AskFileResponse):
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# load the file
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documents = process_file(file)
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-
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llm = OpenAI(model="gpt-4-1106-preview", temperature=0)
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from llama_index.embeddings import HuggingFaceEmbedding
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from chainlit.types import AskFileResponse
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from llama_index import download_loader
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from llama_index import VectorStoreIndex
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def process_file(file: AskFileResponse):
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# load the file
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documents = process_file(file)
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context = ServiceContext.from_defaults(
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embed_model=HuggingFaceEmbedding(model_name="ai-maker-space/chatlgo-finetuned")
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)
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index = VectorStoreIndex.from_documents(
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documents=documents, context=context, show_progress=True
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)
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llm = OpenAI(model="gpt-4-1106-preview", temperature=0)
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