Spaces:
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david-oplatka
commited on
Commit
•
8dd11f1
1
Parent(s):
4222bab
Add App Files
Browse files- Dockerfile +30 -0
- agent.py +235 -0
- app.py +713 -0
- requirements.txt +10 -0
Dockerfile
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ARG VECTARA_CUSTOMER_ID
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ARG VECTARA_API_KEY
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ARG VECTARA_CORPUS_ID
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ARG VECTARA_AGENT_TYPE
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ARG VECTARA_AGENT_MAIN_LLM_PROVIDER
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ARG VECTARA_AGENT_TOOL_LLM_PROVIDE
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ARG OPENAI_API_KEY
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ARG QUERY_EXAMPLES
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ARG DEMO_NAME
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ARG SHORT_DESCRIPTION
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ARG EXTRA_INFO
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FROM python:3.10
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ENV PYTHONDONTWRITEBYTECODE 1
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ENV PYTHONUNBUFFERED 1
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RUN useradd -m -u 1000 user
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USER user
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ENV PATH="/home/user/.local/bin:$PATH"
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WORKDIR /app
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COPY --chown=user ./requirements.txt requirements.txt
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RUN pip3 install --no-cache-dir -r requirements.txt
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EXPOSE 8000
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COPY --chown=user . /app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
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agent.py
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import os
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import re
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import requests
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import json
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from typing import Tuple, List
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from omegaconf import OmegaConf
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from typing import Optional
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from pydantic import Field, BaseModel
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from vectara_agentic.agent import Agent
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from vectara_agentic.tools import ToolsFactory, VectaraToolFactory
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from vectara_agentic.tools_catalog import summarize_text
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from dotenv import load_dotenv
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load_dotenv(override=True)
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citation_description = '''
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The citation for a particular case.
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Citation must include the volume number, reporter, and first page. For example: 253 P.2d 136.
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'''
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def extract_components_from_citation(citation: str) -> Tuple[int, str, int]:
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citation_components = citation.split(' ')
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volume_num = citation_components[0]
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reporter = '-'.join(citation_components[1:-1]).replace('.', '').lower()
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first_page = citation_components[-1]
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if not volume_num.isdigit():
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raise ValueError("volume number must be a number.")
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if not first_page.isdigit():
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raise ValueError("first page number must be a number.")
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return int(volume_num), reporter, int(first_page)
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def create_assistant_tools(cfg):
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def get_opinion_text(
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case_citation = Field(description = citation_description),
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summarize: Optional[bool] = False
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) -> str:
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"""
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Given case citation, returns the full opinion/ruling text of the case.
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if summarize is True, the text is summarized.
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If there is more than one opinion for the case, the type of each opinion is returned with the text,
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and the opinions (or their summaries) are separated by semicolons (;)
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"""
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volume_num, reporter, first_page = extract_components_from_citation(case_citation)
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response = requests.get(f"https://static.case.law/{reporter}/{volume_num}/cases/{first_page:04d}-01.json")
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if response.status_code != 200:
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return "Case not found; please check the citation."
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res = json.loads(response.text)
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if len(res["casebody"]["opinions"]) == 1:
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text = res["casebody"]["opinions"][0]["text"]
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output = text if not summarize else summarize_text(text, "law")
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else:
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output = ""
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for opinion in res["casebody"]["opinions"]:
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text = opinion["text"] if not summarize else summarize_text(opinion["text"], "law")
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output += f"Opinion type: {opinion['type']}, text: {text};"
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return output
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def get_case_document_pdf(
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case_citation = Field(description = citation_description)
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) -> str:
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"""
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Given a case citation, returns a valid web url to a pdf of the case record
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"""
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volume_num, reporter, first_page = extract_components_from_citation(case_citation)
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response = requests.get(f"https://static.case.law/{reporter}/{volume_num}/cases/{first_page:04d}-01.json")
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if response.status_code != 200:
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return "Case not found; please check the citation."
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res = json.loads(response.text)
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page_number = res["first_page_order"]
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return f"https://static.case.law/{reporter}/{volume_num}.pdf#page={page_number}"
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def get_case_document_page(
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case_citation = Field(description = citation_description)
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) -> str:
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"""
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Given a case citation, returns a valid web url to a page with information about the case.
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"""
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volume_num, reporter, first_page = extract_components_from_citation(case_citation)
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url = f"https://case.law/caselaw/?reporter={reporter}&volume={volume_num}&case={first_page:04d}-01"
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response = requests.get(url)
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if response.status_code != 200:
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return "Case not found; please check the citation."
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return url
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def get_case_name(
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case_citation = Field(description = citation_description)
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) -> Tuple[str, str]:
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"""
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Given a case citation, returns its name and name abbreviation.
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"""
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volume_num, reporter, first_page = extract_components_from_citation(case_citation)
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response = requests.get(f"https://static.case.law/{reporter}/{volume_num}/cases/{first_page:04d}-01.json")
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if response.status_code != 200:
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return "Case not found", "Case not found"
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res = json.loads(response.text)
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return res["name"], res["name_abbreviation"]
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def get_cited_cases(
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case_citation = Field(description = citation_description)
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) -> List[dict]:
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"""
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Given a case citation, returns a list of cases that are cited by the opinion of this case.
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The output is a list of cases, each a dict with the citation, name and name_abbreviation of the case.
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"""
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volume_num, reporter, first_page = extract_components_from_citation(case_citation)
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response = requests.get(f"https://static.case.law/{reporter}/{volume_num}/cases/{first_page:04d}-01.json")
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if response.status_code != 200:
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return "Case not found; please check the citation."
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res = json.loads(response.text)
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citations = res["cites_to"]
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res = []
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for citation in citations[:10]:
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name, name_abbreviation = get_case_name(citation["cite"])
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res.append({
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"citation": citation["cite"],
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"name": name,
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"name_abbreviation": name_abbreviation
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})
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return res
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def validate_url(
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url = Field(description = "A web url pointing to case-law document")
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) -> str:
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"""
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Given a link, returns whether or not the link is valid.
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If it is not valid, it should not be used in any output.
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"""
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pdf_pattern = re.compile(r'^https://static.case.law/.*')
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document_pattern = re.compile(r'^https://case.law/caselaw/?reporter=.*')
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return "URL is valid" if bool(pdf_pattern.match(url)) | bool(document_pattern.match(url)) else "URL is bad"
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class QueryCaselawArgs(BaseModel):
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query: str = Field(..., description="The user query.")
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citations: Optional[str] = Field(default = None,
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description = "The citation of the case. Optional.",
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examples = ['253 P.2d 136', '10 Alaska 11', '6 C.M.A. 3'])
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vec_factory = VectaraToolFactory(vectara_api_key=cfg.api_key,
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vectara_customer_id=cfg.customer_id,
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vectara_corpus_id=cfg.corpus_id)
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tools_factory = ToolsFactory()
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ask_caselaw = vec_factory.create_rag_tool(
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tool_name = "ask_caselaw",
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tool_description = """
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Returns a response (str) to the user query base on case law in the state of Alaska.
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If 'citations' is provided, filters the response based on information from that case.
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The response includes metadata about the case such as title/name the ruling, the court,
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the decision date, the judges, and the case citation.
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You can use case citations from the metadata as input to other tools.
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Use this tool for general case law queries.
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""",
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tool_args_schema = QueryCaselawArgs,
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reranker = "multilingual_reranker_v1", rerank_k = 100,
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n_sentences_before = 2, n_sentences_after = 2, lambda_val = 0.0,
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summary_num_results = 10,
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vectara_summarizer = 'vectara-summary-ext-24-05-med-omni',
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include_citations = False,
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)
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return (
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[tools_factory.create_tool(tool) for tool in [
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get_opinion_text,
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get_case_document_pdf,
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get_case_document_page,
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get_cited_cases,
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get_case_name,
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validate_url
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]] +
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tools_factory.standard_tools() +
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tools_factory.legal_tools() +
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tools_factory.guardrail_tools() +
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[ask_caselaw]
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)
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def get_agent_config() -> OmegaConf:
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cfg = OmegaConf.create({
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'customer_id': str(os.environ['VECTARA_CUSTOMER_ID']),
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'corpus_id': str(os.environ['VECTARA_CORPUS_ID']),
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'api_key': str(os.environ['VECTARA_API_KEY']),
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'examples': os.environ.get('QUERY_EXAMPLES', None),
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'demo_name': str(os.environ['DEMO_NAME']),
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'short_description': str(os.environ['SHORT_DESCRIPTION']),
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'extra_info': str(os.environ['EXTRA_INFO'])
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})
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return cfg
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def initialize_agent(_cfg, update_func=None):
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legal_assistant_instructions = """
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- You are a helpful legal assistant, with expertise in case law for the state of Alaska.
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- The ask_caselaw tool is your primary tools for finding information about cases.
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Do not use your own knowledge to answer questions.
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- For a query with multiple sub-questions, break down the query into the sub-questions,
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and make separate calls to the ask_caselaw tool to answer each sub-question,
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then combine the answers to provide a complete response.
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- If the ask_caselaw tool responds that it does not have enough information to answer the query,
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try to rephrase the query and call the tool again.
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- When presenting the output from ask_caselaw tool,
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Extract metadata from the tool's response, and respond in this format:
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'On <decision date>, the <court> ruled in <case name> that <judges ruling>. This opinion was authored by <judges>'.
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- Citations include 3 components: volume number, reporter, and first page.
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Here are some examples: '253 P.2d 136', '10 Alaska 11', '6 C.M.A. 3'
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Never use your internal knowledge to contruct or guess what the citation is.
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- If two cases have conflicting rulings, assume that the case with the more current ruling date is correct.
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- If the response is based on cases that are older than 5 years, make sure to inform the user that the information may be outdated,
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since some case opinions may no longer apply in law.
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- To summarize the case, use the get_opinion_text with summarize set to True.
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- If a user wants to learn more about a case, you can call the get_case_document_pdf tool with the citation to get a valid URL.
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If this is unsuccessful, call the get_case_document_page tool instead.
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The text displayed with this URL should be the name_abbreviation of the case (DON'T just say the info can be found here).
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Don't call the get_case_document_page tool until after you have tried the get_case_document_pdf tool.
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Don't provide URLs from any other tools. Do not generate URLs yourself.
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- When presenting a URL in your response, use the validate_url tool.
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- If a user wants to test their argument, use the ask_caselaw tool to gather information about cases related to their argument
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and the critique_as_judge tool to determine whether their argument is sound or has issues that must be corrected.
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225 |
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- Never discuss politics, and always respond politely.
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"""
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agent = Agent(
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tools=create_assistant_tools(_cfg),
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230 |
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topic="Case law in Alaska",
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custom_instructions=legal_assistant_instructions,
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232 |
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update_func=update_func
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)
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return agent
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app.py
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|
1 |
+
import asyncio
|
2 |
+
from markdown_it import MarkdownIt
|
3 |
+
from mdit_py_plugins import front_matter
|
4 |
+
|
5 |
+
from reactpy import component, html, hooks, use_callback, run, svg
|
6 |
+
from reactpy.backend.starlette import configure
|
7 |
+
from starlette.applications import Starlette
|
8 |
+
from vectara_agentic.agent import AgentStatusType
|
9 |
+
from agent import initialize_agent, get_agent_config
|
10 |
+
|
11 |
+
wait_message = "Please wait. Assistant at work..."
|
12 |
+
|
13 |
+
@component
|
14 |
+
def App():
|
15 |
+
|
16 |
+
# Used for showing/hiding logs
|
17 |
+
show_logs, set_show_logs = hooks.use_state(False)
|
18 |
+
|
19 |
+
# Determining when the "Show Logs" button should appear
|
20 |
+
show_logs_button, set_show_logs_button = hooks.use_state(False)
|
21 |
+
|
22 |
+
# Used for resetting chat bot with "Start Over" button.
|
23 |
+
first_turn, set_first_turn = hooks.use_state(True)
|
24 |
+
|
25 |
+
# Tracks the state of whether the header is collapsed or exapnded
|
26 |
+
more_info, set_more_info = hooks.use_state(False)
|
27 |
+
|
28 |
+
# Tracks the state of whether the footer is collapsed or expanded
|
29 |
+
collapsed, set_collapse = hooks.use_state(False)
|
30 |
+
|
31 |
+
# Record of Chat Messages
|
32 |
+
messages, set_messages = hooks.use_state([])
|
33 |
+
|
34 |
+
message, set_message = hooks.use_state("")
|
35 |
+
|
36 |
+
def use_agent_logger():
|
37 |
+
agent_log_entries, set_agent_log_entries = hooks.use_state([])
|
38 |
+
|
39 |
+
def reset_log_entries():
|
40 |
+
set_agent_log_entries([])
|
41 |
+
|
42 |
+
def add_log_entry(new_log_entry):
|
43 |
+
set_agent_log_entries(lambda previous_entries: previous_entries + [new_log_entry])
|
44 |
+
|
45 |
+
return agent_log_entries, add_log_entry, reset_log_entries
|
46 |
+
|
47 |
+
log_entries, add_log_entry, reset_log_entries = use_agent_logger()
|
48 |
+
|
49 |
+
def update_func(status_type: AgentStatusType, msg: str):
|
50 |
+
if status_type != AgentStatusType.AGENT_UPDATE:
|
51 |
+
output = f"{status_type.value} - {msg}"
|
52 |
+
add_log_entry(output)
|
53 |
+
|
54 |
+
cfg, _ = hooks.use_state(get_agent_config())
|
55 |
+
agent, _ = hooks.use_state(initialize_agent(cfg, update_func))
|
56 |
+
|
57 |
+
def toggle_header(event=None):
|
58 |
+
set_more_info(not more_info)
|
59 |
+
|
60 |
+
def toggle_footer(event=None):
|
61 |
+
set_collapse(not collapsed)
|
62 |
+
|
63 |
+
# Clears all messages and resets chat interface
|
64 |
+
def start_over(event=None):
|
65 |
+
set_messages([])
|
66 |
+
set_first_turn(True)
|
67 |
+
|
68 |
+
def display_message(new_messages):
|
69 |
+
if first_turn:
|
70 |
+
set_first_turn(False)
|
71 |
+
|
72 |
+
set_messages(messages + list(new_messages))
|
73 |
+
|
74 |
+
async def chat_response(user_message):
|
75 |
+
response = await asyncio.to_thread(agent.chat, user_message)
|
76 |
+
return response
|
77 |
+
|
78 |
+
async def send_message_async(sent_message):
|
79 |
+
response = await chat_response(sent_message)
|
80 |
+
set_messages(messages[:-1])
|
81 |
+
display_message(
|
82 |
+
[
|
83 |
+
{"user": "human", "message": sent_message},
|
84 |
+
{"user": "bot", "message": response},
|
85 |
+
]
|
86 |
+
)
|
87 |
+
set_show_logs_button(True)
|
88 |
+
|
89 |
+
def send_message(event=None):
|
90 |
+
if message.strip():
|
91 |
+
sent_message = message
|
92 |
+
set_message("")
|
93 |
+
set_show_logs_button(False)
|
94 |
+
set_show_logs(False)
|
95 |
+
reset_log_entries()
|
96 |
+
display_message([{"user": "human", "message": sent_message}])
|
97 |
+
display_message([{"user": "bot", "message": wait_message}])
|
98 |
+
|
99 |
+
asyncio.create_task(send_message_async(sent_message))
|
100 |
+
|
101 |
+
def send_example(ex_prompt):
|
102 |
+
if ex_prompt.strip():
|
103 |
+
sent_message = ex_prompt
|
104 |
+
set_message("")
|
105 |
+
reset_log_entries()
|
106 |
+
display_message([{"user": "human", "message": sent_message}])
|
107 |
+
display_message([{"user": "bot", "message": wait_message}])
|
108 |
+
|
109 |
+
asyncio.create_task(send_message_async(sent_message))
|
110 |
+
|
111 |
+
|
112 |
+
handle_key_down = use_callback(lambda event:
|
113 |
+
send_message() if event['key'] == 'Enter' else None,
|
114 |
+
[send_message])
|
115 |
+
|
116 |
+
handle_change = use_callback(lambda event:
|
117 |
+
set_message(event['target']['value']),
|
118 |
+
[])
|
119 |
+
|
120 |
+
@component
|
121 |
+
def Header(demo_name: str, short_description: str, extra_info: str):
|
122 |
+
return html.header(
|
123 |
+
{
|
124 |
+
"style": {
|
125 |
+
"backgroundColor": "#FFFFFF",
|
126 |
+
"display": "flex",
|
127 |
+
"justifyContent": "space-between",
|
128 |
+
"alignItems": "center",
|
129 |
+
}
|
130 |
+
},
|
131 |
+
html.div(
|
132 |
+
{
|
133 |
+
"style": {
|
134 |
+
"display": "flex",
|
135 |
+
"alignItems": "center",
|
136 |
+
"flex": 2,
|
137 |
+
"textAlign": "left",
|
138 |
+
"padding": "10px",
|
139 |
+
}
|
140 |
+
},
|
141 |
+
html.img(
|
142 |
+
{
|
143 |
+
"src": "https://avatars.githubusercontent.com/u/108304503?s=200&v=4",
|
144 |
+
"style": {
|
145 |
+
"height": "30px",
|
146 |
+
"marginRight": "15px",
|
147 |
+
"marginLeft": "5px",
|
148 |
+
"transform": "translateY(-2px)",
|
149 |
+
}
|
150 |
+
}
|
151 |
+
),
|
152 |
+
html.p(
|
153 |
+
{
|
154 |
+
"style": {
|
155 |
+
"fontSize": "25px",
|
156 |
+
"fontFamily": "Georgia, 'Times New Roman', Times, serif",
|
157 |
+
}
|
158 |
+
},
|
159 |
+
f"{demo_name}"
|
160 |
+
),
|
161 |
+
),
|
162 |
+
html.div(
|
163 |
+
{
|
164 |
+
"style": {
|
165 |
+
"flex": 5,
|
166 |
+
"textAlign": "center",
|
167 |
+
"padding": "10px 0px 15px 0px",
|
168 |
+
"fontFamily": "Lato",
|
169 |
+
"position": "relative",
|
170 |
+
}
|
171 |
+
},
|
172 |
+
html.h3(f"Welcome to the {demo_name} Demo"),
|
173 |
+
html.p(
|
174 |
+
short_description,
|
175 |
+
html.button(
|
176 |
+
{
|
177 |
+
"style": {
|
178 |
+
"display": "inline" if not more_info else "none",
|
179 |
+
"backgroundColor": "#FFFFFF",
|
180 |
+
"color": "#757575",
|
181 |
+
"fontSize": "13px",
|
182 |
+
"cursor": "pointer",
|
183 |
+
"border": "none",
|
184 |
+
"padding": "0px 0px 0px 5px",
|
185 |
+
},
|
186 |
+
"type": "button",
|
187 |
+
"onClick": toggle_header,
|
188 |
+
},
|
189 |
+
html.u(
|
190 |
+
{
|
191 |
+
"style": {
|
192 |
+
"flex": 2,
|
193 |
+
"textAlign": "right",
|
194 |
+
"padding": "10px",
|
195 |
+
}
|
196 |
+
},
|
197 |
+
"Learn More"
|
198 |
+
)
|
199 |
+
),
|
200 |
+
f" {extra_info}" if more_info else ""
|
201 |
+
),
|
202 |
+
html.button(
|
203 |
+
{
|
204 |
+
"style": {
|
205 |
+
"display": "block" if more_info else "none",
|
206 |
+
"background": "none",
|
207 |
+
"border": "none",
|
208 |
+
"color": "#757575",
|
209 |
+
"cursor": "pointer",
|
210 |
+
"position": "absolute",
|
211 |
+
"left": "50%",
|
212 |
+
"transform": "translateX(-50%)",
|
213 |
+
"bottom": "1px",
|
214 |
+
},
|
215 |
+
"type": "button",
|
216 |
+
"on_click": toggle_header,
|
217 |
+
},
|
218 |
+
svg.svg(
|
219 |
+
{
|
220 |
+
"width": "20",
|
221 |
+
"height": "20",
|
222 |
+
"viewBox": "0 0 20 20",
|
223 |
+
"fill": "none",
|
224 |
+
"stroke": "black",
|
225 |
+
"strokeWidth": "2",
|
226 |
+
"strokeLinecap": "round",
|
227 |
+
"strokeLinejoin": "round",
|
228 |
+
},
|
229 |
+
svg.path(
|
230 |
+
{
|
231 |
+
"d": "M12 19V5M5 12l7-7 7 7",
|
232 |
+
"stroke": "currentColor",
|
233 |
+
}
|
234 |
+
)
|
235 |
+
)
|
236 |
+
)
|
237 |
+
),
|
238 |
+
html.div(
|
239 |
+
{
|
240 |
+
"style": {
|
241 |
+
"flex": 2,
|
242 |
+
"textAlign": "right",
|
243 |
+
"padding": "10px",
|
244 |
+
}
|
245 |
+
},
|
246 |
+
html.button(
|
247 |
+
{
|
248 |
+
"style": {
|
249 |
+
"backgroundColor": "#FFFFFF",
|
250 |
+
"color": "#757575",
|
251 |
+
"fontSize": "14px",
|
252 |
+
"cursor": "pointer",
|
253 |
+
"border": "1px solid #e2dfdf",
|
254 |
+
"borderRadius": "5px",
|
255 |
+
"padding": "6px 20px",
|
256 |
+
"marginRight": "15px",
|
257 |
+
},
|
258 |
+
"type": "button",
|
259 |
+
"onClick": start_over,
|
260 |
+
},
|
261 |
+
"Start Over?"
|
262 |
+
)
|
263 |
+
)
|
264 |
+
)
|
265 |
+
|
266 |
+
def markdown_to_html(markdown_text):
|
267 |
+
md = (
|
268 |
+
MarkdownIt("commonmark", {"breaks": True, "html": True})
|
269 |
+
.use(front_matter.front_matter_plugin)
|
270 |
+
)
|
271 |
+
return md.render(markdown_text)
|
272 |
+
|
273 |
+
@component
|
274 |
+
def MarkdownRenderer(content):
|
275 |
+
html_content = markdown_to_html(content)
|
276 |
+
return html.div(
|
277 |
+
{
|
278 |
+
"style": {
|
279 |
+
"fontFamily": "Arial",
|
280 |
+
"color": "#49454F",
|
281 |
+
"fontSize": "14px",
|
282 |
+
},
|
283 |
+
"dangerouslySetInnerHTML": {"__html": html_content}
|
284 |
+
}
|
285 |
+
)
|
286 |
+
|
287 |
+
@component
|
288 |
+
def ExamplePrompts():
|
289 |
+
example_questions = [example.strip() for example in cfg['examples'].split(";")] if cfg.examples else []
|
290 |
+
|
291 |
+
def create_prompt_button(question):
|
292 |
+
return html.button(
|
293 |
+
{
|
294 |
+
"style": {
|
295 |
+
"backgroundColor": "#FFFFFF",
|
296 |
+
"borderWidth": "1px",
|
297 |
+
"borderColor": "#65558F",
|
298 |
+
"borderRadius": "20px",
|
299 |
+
"padding": "5px 7px",
|
300 |
+
"margin": "5px",
|
301 |
+
"cursor": "pointer",
|
302 |
+
"color": "#21005D",
|
303 |
+
"fontSize": "13px",
|
304 |
+
},
|
305 |
+
"type": "button",
|
306 |
+
"onClick": lambda _: send_example(question),
|
307 |
+
},
|
308 |
+
question
|
309 |
+
)
|
310 |
+
|
311 |
+
if first_turn:
|
312 |
+
return html.div(
|
313 |
+
{
|
314 |
+
"style": {
|
315 |
+
"display": "flex",
|
316 |
+
"transform": "translate(4%, 100%)",
|
317 |
+
"flexDirection": "column",
|
318 |
+
"justifyContent": "center",
|
319 |
+
"width": "90%",
|
320 |
+
}
|
321 |
+
},
|
322 |
+
html.p(
|
323 |
+
{
|
324 |
+
"style": {
|
325 |
+
"fontSize": "16px",
|
326 |
+
"fontFamily": "Arial",
|
327 |
+
"color": "#49454F",
|
328 |
+
"marginBottom": "5px",
|
329 |
+
"transform": "translateX(3%)",
|
330 |
+
"textAlign": "left",
|
331 |
+
}
|
332 |
+
},
|
333 |
+
"Queries to try:"
|
334 |
+
),
|
335 |
+
html.div(
|
336 |
+
{
|
337 |
+
"style": {
|
338 |
+
"display": "flex",
|
339 |
+
"flexWrap": "wrap",
|
340 |
+
"justifyContent": "center",
|
341 |
+
}
|
342 |
+
},
|
343 |
+
*[create_prompt_button(q) for q in example_questions]
|
344 |
+
)
|
345 |
+
)
|
346 |
+
|
347 |
+
return None
|
348 |
+
|
349 |
+
@component
|
350 |
+
def ChatBox():
|
351 |
+
return html.div(
|
352 |
+
{
|
353 |
+
"style": {
|
354 |
+
"position": "fixed",
|
355 |
+
"bottom": "70px" if collapsed else "140px",
|
356 |
+
"left": "50%",
|
357 |
+
"transform": "translateX(-50%)",
|
358 |
+
"width": "80%",
|
359 |
+
"display": "flex",
|
360 |
+
"alignItems": "center",
|
361 |
+
"backgroundColor": "#FFFFFF",
|
362 |
+
"borderRadius": "50px",
|
363 |
+
"zIndex": "1000",
|
364 |
+
}
|
365 |
+
},
|
366 |
+
html.input(
|
367 |
+
{
|
368 |
+
"type": "text",
|
369 |
+
"value": message,
|
370 |
+
"placeholder": "Your Message",
|
371 |
+
"onChange": handle_change,
|
372 |
+
"onKeyDown": handle_key_down,
|
373 |
+
"style": {
|
374 |
+
"width": "100%",
|
375 |
+
"padding": "10px 50px 10px 20px",
|
376 |
+
"border": "none",
|
377 |
+
"borderRadius": "50px",
|
378 |
+
"color": "#65558F",
|
379 |
+
}
|
380 |
+
}
|
381 |
+
),
|
382 |
+
html.button(
|
383 |
+
{
|
384 |
+
"type": "button",
|
385 |
+
"onClick": send_message,
|
386 |
+
"style": {
|
387 |
+
"position": "absolute",
|
388 |
+
"right": "8px",
|
389 |
+
"top": "50%",
|
390 |
+
"transform":"translateY(-50%)",
|
391 |
+
"background": "none",
|
392 |
+
"border": "none",
|
393 |
+
"cursor": "pointer",
|
394 |
+
"padding": "8px",
|
395 |
+
"display": "flex",
|
396 |
+
"alignItems": "center",
|
397 |
+
"justifyContent": "center",
|
398 |
+
}
|
399 |
+
},
|
400 |
+
svg.svg(
|
401 |
+
{
|
402 |
+
"xmlns": "http://www.w3.org/2000/svg",
|
403 |
+
"width": "20",
|
404 |
+
"height": "20",
|
405 |
+
"fill": "none",
|
406 |
+
"stroke": "currentColor",
|
407 |
+
"stroke-linecap": "round",
|
408 |
+
"stroke-linejoin": "round",
|
409 |
+
"stroke-width": "2",
|
410 |
+
"viewBox": "0 0 24 24",
|
411 |
+
"class": "feather feather-send",
|
412 |
+
},
|
413 |
+
svg.path({"d": "M22 2 11 13"}),
|
414 |
+
svg.path({"d": "M22 2 15 22 11 13 2 9z"})
|
415 |
+
)
|
416 |
+
)
|
417 |
+
)
|
418 |
+
|
419 |
+
|
420 |
+
@component
|
421 |
+
def ChatMessage(user, message):
|
422 |
+
|
423 |
+
return html.div(
|
424 |
+
{
|
425 |
+
"style": {
|
426 |
+
"display": "flex",
|
427 |
+
"width": "75%",
|
428 |
+
"transform": "translateX(20%)",
|
429 |
+
"justifyContent": "flex-end" if user == "human" else "flex-start",
|
430 |
+
"margin": "20px 0px 10px 0px"
|
431 |
+
}
|
432 |
+
},
|
433 |
+
html.div(
|
434 |
+
{
|
435 |
+
"style": {
|
436 |
+
"maxWidth": "50%",
|
437 |
+
"padding": "0px 15px 0px 10px",
|
438 |
+
"borderRadius": "15px",
|
439 |
+
"backgroundColor": "#E8DEF8" if user == "human" else "#ECE6F0",
|
440 |
+
"color": "#000000",
|
441 |
+
}
|
442 |
+
},
|
443 |
+
MarkdownRenderer(message)
|
444 |
+
)
|
445 |
+
)
|
446 |
+
|
447 |
+
@component
|
448 |
+
def Logs():
|
449 |
+
if (len(messages) > 0) and (len(log_entries) > 0) and (messages[-1]["message"] != wait_message) and (show_logs_button):
|
450 |
+
if not show_logs:
|
451 |
+
return html.div(
|
452 |
+
{
|
453 |
+
"style": {
|
454 |
+
"display": "flex",
|
455 |
+
"transform": "translateX(75%)",
|
456 |
+
"width": "20%",
|
457 |
+
"margin": "0px",
|
458 |
+
}
|
459 |
+
},
|
460 |
+
html.button(
|
461 |
+
{
|
462 |
+
"style": {
|
463 |
+
"position": "flex",
|
464 |
+
"background": "none",
|
465 |
+
"color": "#757575",
|
466 |
+
"border": "none",
|
467 |
+
"cursor": "pointer",
|
468 |
+
"fontFamily": "Arial",
|
469 |
+
"fontSize": "14px",
|
470 |
+
},
|
471 |
+
"type": "button",
|
472 |
+
"onClick": lambda _: set_show_logs(True)
|
473 |
+
},
|
474 |
+
"Show Logs"
|
475 |
+
)
|
476 |
+
)
|
477 |
+
else:
|
478 |
+
return html.div(
|
479 |
+
{
|
480 |
+
"style": {
|
481 |
+
"display": "flex",
|
482 |
+
"transform": "translateX(20%)",
|
483 |
+
"border": "2px solid #e2dfdf",
|
484 |
+
"borderRadius": "10px",
|
485 |
+
"width": "75%",
|
486 |
+
}
|
487 |
+
},
|
488 |
+
html.div(
|
489 |
+
[
|
490 |
+
html.p(
|
491 |
+
{
|
492 |
+
"style": {
|
493 |
+
"fontSize": "14px",
|
494 |
+
"marginLeft": "10px",
|
495 |
+
}
|
496 |
+
},
|
497 |
+
entry
|
498 |
+
) for entry in log_entries
|
499 |
+
],
|
500 |
+
html.button(
|
501 |
+
{
|
502 |
+
"style": {
|
503 |
+
"position": "flex",
|
504 |
+
"background": "none",
|
505 |
+
"color": "#757575",
|
506 |
+
"border": "none",
|
507 |
+
"cursor": "pointer",
|
508 |
+
"fontFamily": "Arial",
|
509 |
+
"fontSize": "14px",
|
510 |
+
"marginBottom": "10px",
|
511 |
+
"marginLeft": "5px",
|
512 |
+
},
|
513 |
+
"type": "button",
|
514 |
+
"onClick": lambda _: set_show_logs(False)
|
515 |
+
},
|
516 |
+
"Hide Logs"
|
517 |
+
)
|
518 |
+
)
|
519 |
+
)
|
520 |
+
|
521 |
+
return None
|
522 |
+
|
523 |
+
@component
|
524 |
+
def ChatUI():
|
525 |
+
|
526 |
+
def render_chat_content():
|
527 |
+
if first_turn:
|
528 |
+
return ExamplePrompts()
|
529 |
+
else:
|
530 |
+
return [ChatMessage(msg["user"], msg["message"]) for msg in messages]
|
531 |
+
|
532 |
+
return html.div(
|
533 |
+
{
|
534 |
+
"style": {
|
535 |
+
"display": "flex",
|
536 |
+
"flexDirection": "column",
|
537 |
+
"padding": "10px",
|
538 |
+
"backgroundColor": "#F4F1F4",
|
539 |
+
"overflowY": "auto",
|
540 |
+
"height": f"calc(100vh - {265 if collapsed else 335}px)",
|
541 |
+
"marginBottom": "15px",
|
542 |
+
"paddingBottom": "15px",
|
543 |
+
},
|
544 |
+
},
|
545 |
+
render_chat_content(),
|
546 |
+
Logs()
|
547 |
+
)
|
548 |
+
|
549 |
+
|
550 |
+
@component
|
551 |
+
def Footer():
|
552 |
+
|
553 |
+
if collapsed:
|
554 |
+
return html.footer(
|
555 |
+
{
|
556 |
+
"style": {
|
557 |
+
"backgroundColor": "#FFFFFF",
|
558 |
+
"position": "fixed",
|
559 |
+
"bottom": 0,
|
560 |
+
"width": "100%",
|
561 |
+
"height": "50px",
|
562 |
+
}
|
563 |
+
},
|
564 |
+
html.button(
|
565 |
+
{
|
566 |
+
"style": {
|
567 |
+
"background": "none",
|
568 |
+
"border": "none",
|
569 |
+
"color": "#757575",
|
570 |
+
"cursor": "pointer",
|
571 |
+
"position": "absolute",
|
572 |
+
"bottom": "5px",
|
573 |
+
"right": "10px",
|
574 |
+
},
|
575 |
+
"type": "button",
|
576 |
+
"on_click": toggle_footer,
|
577 |
+
},
|
578 |
+
svg.svg(
|
579 |
+
{
|
580 |
+
"xmlns": "http://www.w3.org/2000/svg",
|
581 |
+
"width": "24",
|
582 |
+
"height": "24",
|
583 |
+
"fill": "none",
|
584 |
+
"stroke": "currentColor",
|
585 |
+
"stroke-linecap": "round",
|
586 |
+
"stroke-linejoin": "round",
|
587 |
+
"stroke-width": "3",
|
588 |
+
"viewBox": "0 0 24 24",
|
589 |
+
},
|
590 |
+
svg.path({"d": "M19 14l-7-7-7 7"})
|
591 |
+
)
|
592 |
+
)
|
593 |
+
)
|
594 |
+
|
595 |
+
else:
|
596 |
+
return html.footer(
|
597 |
+
{
|
598 |
+
"style": {
|
599 |
+
"backgroundColor": "#FFFFFF",
|
600 |
+
"position": "fixed",
|
601 |
+
"bottom": 0,
|
602 |
+
"width": "100%",
|
603 |
+
}
|
604 |
+
},
|
605 |
+
html.div(
|
606 |
+
{
|
607 |
+
"style": {
|
608 |
+
"backgroundColor": "#FFFFFF",
|
609 |
+
"padding": "0px 20px 0px 50px",
|
610 |
+
"position": "relative",
|
611 |
+
"display": "block",
|
612 |
+
}
|
613 |
+
},
|
614 |
+
html.button(
|
615 |
+
{
|
616 |
+
"style": {
|
617 |
+
"position": "absolute",
|
618 |
+
"right": "10px",
|
619 |
+
"background": "none",
|
620 |
+
"border": "none",
|
621 |
+
"color": "#757575",
|
622 |
+
"cursor": "pointer",
|
623 |
+
},
|
624 |
+
"type": "button",
|
625 |
+
"on_click": toggle_footer,
|
626 |
+
},
|
627 |
+
svg.svg(
|
628 |
+
{
|
629 |
+
"xmlns": "http://www.w3.org/2000/svg",
|
630 |
+
"width": "24",
|
631 |
+
"height": "24",
|
632 |
+
"fill": "none",
|
633 |
+
"stroke": "currentColor",
|
634 |
+
"stroke-linecap": "round",
|
635 |
+
"stroke-linejoin": "round",
|
636 |
+
"stroke-width": "3",
|
637 |
+
"viewBox": "0 0 24 24",
|
638 |
+
},
|
639 |
+
svg.path({"d": "M18 6L6 18"}),
|
640 |
+
svg.path({"d": "M6 6l12 12"})
|
641 |
+
)
|
642 |
+
),
|
643 |
+
html.p(
|
644 |
+
{
|
645 |
+
"style": {
|
646 |
+
"fontSize": "20px",
|
647 |
+
"color": "#4b4851"
|
648 |
+
}
|
649 |
+
},
|
650 |
+
"How this works?",
|
651 |
+
),
|
652 |
+
html.p(
|
653 |
+
{
|
654 |
+
"style": {
|
655 |
+
"color": "#757575",
|
656 |
+
}
|
657 |
+
},
|
658 |
+
"This app was built with ",
|
659 |
+
html.a(
|
660 |
+
{
|
661 |
+
"href": "https://vectara.com/",
|
662 |
+
"target": "_blank",
|
663 |
+
},
|
664 |
+
"Vectara",
|
665 |
+
),
|
666 |
+
html.br(),
|
667 |
+
"It demonstrates the use of Agentic-RAG functionality with Vectara",
|
668 |
+
)
|
669 |
+
)
|
670 |
+
)
|
671 |
+
|
672 |
+
return html.div(
|
673 |
+
{
|
674 |
+
"style": {
|
675 |
+
"backgroundColor": "#F4F1F4",
|
676 |
+
"margin": "0",
|
677 |
+
"padding": "0",
|
678 |
+
"minHeight": "100vh",
|
679 |
+
"display": "flex",
|
680 |
+
"boxSizing": "border-box",
|
681 |
+
"flexDirection": "column",
|
682 |
+
"overflowX": "hidden",
|
683 |
+
"position": "relative",
|
684 |
+
}
|
685 |
+
},
|
686 |
+
html.head(
|
687 |
+
html.style("""
|
688 |
+
body {
|
689 |
+
margin: 0;
|
690 |
+
padding: 0;
|
691 |
+
}
|
692 |
+
""")
|
693 |
+
),
|
694 |
+
Header(
|
695 |
+
demo_name=cfg['demo_name'],
|
696 |
+
short_description=cfg['short_description'],
|
697 |
+
extra_info=cfg['extra_info']
|
698 |
+
),
|
699 |
+
ChatUI(),
|
700 |
+
ChatBox(),
|
701 |
+
Footer(),
|
702 |
+
)
|
703 |
+
|
704 |
+
app = Starlette()
|
705 |
+
|
706 |
+
configure(app, App)
|
707 |
+
|
708 |
+
if __name__ == "__main__":
|
709 |
+
import uvicorn
|
710 |
+
uvicorn.run(app, host="127.0.0.1", port=8000)
|
711 |
+
|
712 |
+
# if __name__ == "__main__":
|
713 |
+
# run(App)
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requirements.txt
ADDED
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1 |
+
reactpy[starlette]==1.0.2
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2 |
+
uvicorn==0.30.6
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3 |
+
omegaconf==2.3.0
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4 |
+
python-dotenv==1.0.1
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5 |
+
uuid==1.30
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6 |
+
langdetect==1.0.9
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7 |
+
langcodes==3.4.0
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8 |
+
vectara-agentic==0.1.6
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9 |
+
markdown-it-py==3.0.0
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10 |
+
mdit-py-plugins==0.4.1
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