Spaces:
Build error
Build error
Reformated code
Browse files- app.py +4 -3
- chatbot/data.py +8 -7
- chatbot/redirect.py +55 -23
app.py
CHANGED
@@ -15,11 +15,12 @@ st.header("Chat with André's research 💬 📚")
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if "messages" not in st.session_state.keys(): # Initialize the chat message history
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st.session_state.messages = [{"role": "assistant", "content": "Ask me a question about André's research!"}]
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def main():
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# setup logger sidebar
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#st.sidebar.text("Standard output log:")
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#_sidebar_out = st.sidebar.empty()
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#with rd.stdout(to=_sidebar_out, format='text'):
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# print("test")
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# setup dataset
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if "messages" not in st.session_state.keys(): # Initialize the chat message history
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st.session_state.messages = [{"role": "assistant", "content": "Ask me a question about André's research!"}]
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def main():
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# setup logger sidebar
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# st.sidebar.text("Standard output log:")
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# _sidebar_out = st.sidebar.empty()
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# with rd.stdout(to=_sidebar_out, format='text'):
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# print("test")
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# setup dataset
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chatbot/data.py
CHANGED
@@ -1,7 +1,5 @@
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import os
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from chatbot import redirect as rd
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-
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import streamlit as st
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from gdown import download_folder
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from llama_index import ServiceContext
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@@ -11,21 +9,24 @@ from llama_index import set_global_service_context
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from llama_index.embeddings import OpenAIEmbedding
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from llama_index.llms import AzureOpenAI
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@st.cache_resource(show_spinner=False)
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def download_test_data():
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# url = f"https://drive.google.com/drive/folders/uc?export=download&confirm=pbef&id={file_id}"
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url = "https://drive.google.com/drive/folders/1uDSAWtLvp1YPzfXUsK_v6DeWta16pq6y"
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with st.spinner(text="Downloading test data. This might take a minute."):
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# @TODO: replace gown solution with a custom solution compatible with GitHub and
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# use st.progress to get more verbose during download
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download_folder(url=url, quiet=False, use_cookies=False, output="./data/")
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@st.cache_resource(show_spinner=False)
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def load_data():
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with st.spinner(text="Loading and indexing the provided dataset – hang tight! This may take a few seconds."):
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documents = SimpleDirectoryReader(input_dir="./data", recursive=True).load_data()
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-
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with st.spinner(text="Setting up Azure OpenAI..."):
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llm = AzureOpenAI(
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model="gpt-3.5-turbo",
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@@ -50,11 +51,11 @@ def load_data():
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api_base=st.secrets["OPENAI_API_BASE"],
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api_type="azure",
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api_version=st.secrets["OPENAI_API_VERSION"],
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embed_batch_size=10, # set to
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)
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with st.spinner(text="Setting up Vector Store Index..."):
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service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
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set_global_service_context(service_context)
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index = VectorStoreIndex.from_documents(documents) # , service_context=service_context)
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return index
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import os
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import streamlit as st
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from gdown import download_folder
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from llama_index import ServiceContext
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from llama_index.embeddings import OpenAIEmbedding
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from llama_index.llms import AzureOpenAI
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from chatbot import redirect as rd
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@st.cache_resource(show_spinner=False)
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def download_test_data():
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# url = f"https://drive.google.com/drive/folders/uc?export=download&confirm=pbef&id={file_id}"
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url = "https://drive.google.com/drive/folders/1uDSAWtLvp1YPzfXUsK_v6DeWta16pq6y"
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with st.spinner(text="Downloading test data. This might take a minute."):
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# @TODO: replace gown solution with a custom solution compatible with GitHub and
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# use st.progress to get more verbose during download
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download_folder(url=url, quiet=False, use_cookies=False, output="./data/")
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+
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@st.cache_resource(show_spinner=False)
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def load_data():
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with st.spinner(text="Loading and indexing the provided dataset – hang tight! This may take a few seconds."):
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documents = SimpleDirectoryReader(input_dir="./data", recursive=True).load_data()
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with st.spinner(text="Setting up Azure OpenAI..."):
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llm = AzureOpenAI(
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model="gpt-3.5-turbo",
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api_base=st.secrets["OPENAI_API_BASE"],
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api_type="azure",
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api_version=st.secrets["OPENAI_API_VERSION"],
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embed_batch_size=10, # set to low value to reduce rate limit -> may degrade response runtime
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)
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with st.spinner(text="Setting up Vector Store Index..."):
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service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model) # , chunk_size=512)
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set_global_service_context(service_context)
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index = VectorStoreIndex.from_documents(documents) # , service_context=service_context)
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return index
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chatbot/redirect.py
CHANGED
@@ -1,8 +1,9 @@
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import streamlit as st
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import io
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import contextlib
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import
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import re
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class _Redirect:
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@@ -10,6 +11,7 @@ class _Redirect:
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Based on: https://gist.github.com/schaumb/037f139035d93cff3ad9f4f7e5f739ce
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Also see: https://github.com/streamlit/streamlit/issues/268#issuecomment-810478208
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"""
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class IOStuff(io.StringIO):
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def __init__(self, trigger, max_buffer, buffer_separator, regex, dup=None):
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super().__init__()
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@@ -23,7 +25,7 @@ class _Redirect:
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if self._max_buffer:
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concatenated_len = super().tell() + len(__s)
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if concatenated_len > self._max_buffer:
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rest = self.get_filtered_output()[concatenated_len - self._max_buffer:]
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if self._buffer_separator is not None:
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rest = rest.split(self._buffer_separator, 1)[-1]
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super().seek(0)
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@@ -39,20 +41,35 @@ class _Redirect:
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if self._regex is None or self._buffer_separator is None:
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return self.getvalue()
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return self._buffer_separator.join(
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def print_at_end(self):
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self._trigger(self.get_filtered_output())
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def __init__(
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-
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-
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-
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self.redirections = []
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self.st = None
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self.stderr = stderr is True
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self.stdout = stdout is True or (stdout is None and not self.stderr)
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self.format = format or
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self.to = to
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self.fun = None
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self.duplicate_out = duplicate_out or None
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@@ -61,29 +78,36 @@ class _Redirect:
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if not self.stdout and not self.stderr:
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raise ValueError("one of stdout or stderr must be True")
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if self.format not in [
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raise ValueError(
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f"format need oneof the following: {', '.join(['text', 'markdown', 'latex', 'code', 'write'])}"
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if self.to and (not hasattr(self.to,
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raise ValueError(f"'to' is not a streamlit container object")
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def __enter__(self):
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if self.st is not None:
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if self.to is None:
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if self.active_nested is None:
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self.active_nested = self(
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-
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return self.active_nested.__enter__()
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else:
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raise Exception("Already entered")
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to = self.to or st
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to.text(
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-
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-
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self.st = to.empty()
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self.fun = getattr(self.st, self.format)
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@@ -103,9 +127,17 @@ class _Redirect:
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return io_obj
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def __call__(self, to=None, format=None, max_buffer=None, buffer_separator=
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return _Redirect(
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def __exit__(self, *exc):
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if self.active_nested is not None:
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import contextlib
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import io
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import re
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import sys
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import streamlit as st
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class _Redirect:
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Based on: https://gist.github.com/schaumb/037f139035d93cff3ad9f4f7e5f739ce
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Also see: https://github.com/streamlit/streamlit/issues/268#issuecomment-810478208
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"""
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+
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class IOStuff(io.StringIO):
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def __init__(self, trigger, max_buffer, buffer_separator, regex, dup=None):
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super().__init__()
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if self._max_buffer:
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concatenated_len = super().tell() + len(__s)
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if concatenated_len > self._max_buffer:
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rest = self.get_filtered_output()[concatenated_len - self._max_buffer :]
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if self._buffer_separator is not None:
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rest = rest.split(self._buffer_separator, 1)[-1]
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super().seek(0)
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if self._regex is None or self._buffer_separator is None:
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return self.getvalue()
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return self._buffer_separator.join(
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filter(self._regex.search, self.getvalue().split(self._buffer_separator))
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)
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def print_at_end(self):
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self._trigger(self.get_filtered_output())
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def __init__(
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self,
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stdout=None,
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stderr=False,
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format=None,
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to=None,
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max_buffer=None,
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buffer_separator="\n",
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regex=None,
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duplicate_out=False,
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):
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self.io_args = {
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"trigger": self._write,
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"max_buffer": max_buffer,
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"buffer_separator": buffer_separator,
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"regex": regex,
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}
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self.redirections = []
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self.st = None
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self.stderr = stderr is True
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self.stdout = stdout is True or (stdout is None and not self.stderr)
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self.format = format or "code"
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self.to = to
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self.fun = None
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self.duplicate_out = duplicate_out or None
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if not self.stdout and not self.stderr:
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raise ValueError("one of stdout or stderr must be True")
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if self.format not in ["text", "markdown", "latex", "code", "write"]:
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raise ValueError(
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f"format need oneof the following: {', '.join(['text', 'markdown', 'latex', 'code', 'write'])}"
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)
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if self.to and (not hasattr(self.to, "text") or not hasattr(self.to, "empty")):
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raise ValueError(f"'to' is not a streamlit container object")
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def __enter__(self):
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if self.st is not None:
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if self.to is None:
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if self.active_nested is None:
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self.active_nested = self(
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format=self.format,
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max_buffer=self.io_args["max_buffer"],
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buffer_separator=self.io_args["buffer_separator"],
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regex=self.io_args["regex"],
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duplicate_out=self.duplicate_out,
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)
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return self.active_nested.__enter__()
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else:
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raise Exception("Already entered")
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to = self.to or st
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to.text(
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f"Redirected output from "
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f"{'stdout and stderr' if self.stdout and self.stderr else 'stdout' if self.stdout else 'stderr'}"
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f"{' [' + self.io_args['regex'] + ']' if self.io_args['regex'] else ''}"
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f":"
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)
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self.st = to.empty()
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self.fun = getattr(self.st, self.format)
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return io_obj
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def __call__(self, to=None, format=None, max_buffer=None, buffer_separator="\n", regex=None, duplicate_out=False):
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return _Redirect(
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self.stdout,
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self.stderr,
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format=format,
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to=to,
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max_buffer=max_buffer,
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buffer_separator=buffer_separator,
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regex=regex,
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duplicate_out=duplicate_out,
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)
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def __exit__(self, *exc):
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if self.active_nested is not None:
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