Spaces:
Sleeping
Sleeping
update app to scooby theme
Browse files- README.md +3 -3
- app.py +1 -1
- config.py +3 -2
- rate_limit.py +41 -0
- rl_script.ipynb +233 -0
README.md
CHANGED
@@ -1,8 +1,8 @@
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---
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-
title:
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emoji:
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colorFrom: blue
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colorTo:
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sdk: gradio
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sdk_version: 4.36.1
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app_file: app.py
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---
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title: Scooby Snacks Chat App
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emoji: πΆπ΅οΈββοΈπ
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colorFrom: blue
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colorTo: green
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sdk: gradio
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sdk_version: 4.36.1
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app_file: app.py
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app.py
CHANGED
@@ -139,7 +139,7 @@ app = gr.Blocks(theme="sudeepshouche/minimalist")
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with app:
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with gr.Tab("Chatbot"):
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-
gr.Markdown("#
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gr.Markdown("## leveraging **Claude Sonnet 3.5** for microservice-based function calling")
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gr.Markdown("FastAPI Backend - runing on Docker: [blackbird-svc](https://huggingface.co/spaces/dwb2023/blackbird-svc)")
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gr.Markdown("Data Sources - HF Datasets: [blackbird-customers](https://huggingface.co/datasets/dwb2023/blackbird-customers) [blackbird-orders](https://huggingface.co/datasets/dwb2023/blackbird-orders)")
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with app:
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with gr.Tab("Chatbot"):
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gr.Markdown("# Scooby Snacks Customer Support Chat")
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gr.Markdown("## leveraging **Claude Sonnet 3.5** for microservice-based function calling")
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gr.Markdown("FastAPI Backend - runing on Docker: [blackbird-svc](https://huggingface.co/spaces/dwb2023/blackbird-svc)")
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gr.Markdown("Data Sources - HF Datasets: [blackbird-customers](https://huggingface.co/datasets/dwb2023/blackbird-customers) [blackbird-orders](https://huggingface.co/datasets/dwb2023/blackbird-orders)")
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config.py
CHANGED
@@ -12,7 +12,7 @@ API_KEY = os.getenv('ANTHROPIC_API_KEY')
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MODEL_NAME = "claude-3-5-sonnet-20240620"
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SYSTEM_PROMPT = """
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You are a customer support chat bot for an online retailer called
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Your job is to help users look up their account, orders, and cancel orders.
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Be helpful and brief in your responses.
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You have access to a set of tools, but only use them when needed.
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Do not call any of the tools unless you have the required data from a user.
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In each conversational turn, you will begin by thinking about your response.
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Once you're done, you will write a user-facing response.
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It's important to place all user-facing conversational responses in <reply></reply> XML tags to make them easy to parse.
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"""
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MODEL_NAME = "claude-3-5-sonnet-20240620"
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SYSTEM_PROMPT = """
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You are a customer support chat bot for an online retailer called Scooby Snacks.
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Your job is to help users look up their account, orders, and cancel orders.
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Be helpful and brief in your responses.
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You have access to a set of tools, but only use them when needed.
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Do not call any of the tools unless you have the required data from a user.
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In each conversational turn, you will begin by thinking about your response.
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Once you're done, you will write a user-facing response.
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If you receive a 429 rate limiting error reply with 'Ruh roh Raggy! It's the dreaded rate limitng error from Hugging Face again!'
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It's important to place all user-facing conversational responses in <reply></reply> XML tags to make them easy to parse.
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"""
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rate_limit.py
ADDED
@@ -0,0 +1,41 @@
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import re
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import pandas as pd
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# Function to parse the log file
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def parse_log_file(file_path):
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with open(file_path, 'r') as file:
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log_entries = file.readlines()
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log_data = []
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for entry in log_entries:
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timestamp_match = re.match(r'(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3})', entry)
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if timestamp_match:
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timestamp = timestamp_match.group(1)
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log_level = re.search(r'- (\w+) -', entry)
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url_match = re.search(r'HTTP Request: POST (.*?)"', entry)
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status_code = re.search(r'"HTTP/1.1 (\d{3})', entry)
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if log_level and url_match and status_code:
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log_level = log_level.group(1)
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url = url_match.group(1)
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status_code = status_code.group(1)
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if status_code == '429':
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h1_tag = re.search(r'<h1>(\d+)</h1>', entry)
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h1_error_code = h1_tag.group(1) if h1_tag else 'N/A'
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log_data.append({
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'Timestamp': timestamp,
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'Log Level': log_level,
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'URL': url,
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'Status Code': status_code,
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'H1 Error Code': h1_error_code
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})
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return pd.DataFrame(log_data)
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# Parse the provided log file
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file_path = 'paste.txt'
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parsed_log_df = parse_log_file(file_path)
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# Display the DataFrame
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parsed_log_df
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rl_script.ipynb
ADDED
@@ -0,0 +1,233 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"import re\n",
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"import pandas as pd\n",
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"\n",
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"# Function to extract log entries with specified pattern and check for 429 errors\n",
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"def extract_429_error_log_entries(file_path):\n",
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" with open(file_path, 'r') as file:\n",
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" log_entries = file.readlines()\n",
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" \n",
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" log_data = []\n",
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" pattern = re.compile(r'(\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2},\\d{3}) - ERROR - tool_handler Tool call failed:')\n",
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" \n",
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" for i in range(len(log_entries)):\n",
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" entry = log_entries[i]\n",
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" match = pattern.match(entry)\n",
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" if match:\n",
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" # Check within the next 100 lines for a 429 error\n",
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" for j in range(i + 1, min(i + 100, len(log_entries))):\n",
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" if '<h1>429</h1>' in log_entries[j]:\n",
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" next_timestamp_match = re.match(r'\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2},\\d{3}', log_entries[j + 1]) if j + 1 < len(log_entries) else None\n",
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" next_timestamp = next_timestamp_match.group() if next_timestamp_match else None\n",
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" log_data.append({\n",
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" 'Timestamp': match.group(1),\n",
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" 'Log Entry': entry.strip(),\n",
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" '429 Error Entry': log_entries[j].strip(),\n",
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" })\n",
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" break\n",
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" \n",
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" return pd.DataFrame(log_data)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Extract the log entries matching the specified pattern and containing 429 errors\n",
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"file_path = 'paste_v2.txt'\n",
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"error_429_log_df = extract_429_error_log_entries(file_path)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Timestamp</th>\n",
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" <th>Log Entry</th>\n",
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" <th>429 Error Entry</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>2024-06-25 06:39:01,261</td>\n",
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" <td>2024-06-25 06:39:01,261 - ERROR - tool_handler...</td>\n",
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" <td><h1>429</h1></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>2024-06-25 06:39:03,968</td>\n",
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" <td>2024-06-25 06:39:03,968 - ERROR - tool_handler...</td>\n",
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" <td><h1>429</h1></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>2024-06-25 06:39:06,904</td>\n",
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" <td>2024-06-25 06:39:06,904 - ERROR - tool_handler...</td>\n",
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" <td><h1>429</h1></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>2024-06-25 07:52:06,830</td>\n",
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" <td>2024-06-25 07:52:06,830 - ERROR - tool_handler...</td>\n",
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" <td><h1>429</h1></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>2024-06-25 07:52:09,671</td>\n",
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" <td>2024-06-25 07:52:09,671 - ERROR - tool_handler...</td>\n",
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" <td><h1>429</h1></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>2024-06-25 07:52:33,216</td>\n",
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" <td>2024-06-25 07:52:33,216 - ERROR - tool_handler...</td>\n",
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" <td><h1>429</h1></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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120 |
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" <td>2024-06-25 07:52:35,952</td>\n",
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" <td>2024-06-25 07:52:35,952 - ERROR - tool_handler...</td>\n",
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122 |
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" <td><h1>429</h1></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
|
126 |
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" <td>2024-06-25 07:54:39,687</td>\n",
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127 |
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" <td>2024-06-25 07:54:39,687 - ERROR - tool_handler...</td>\n",
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128 |
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" <td><h1>429</h1></td>\n",
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129 |
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" </tr>\n",
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130 |
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" <tr>\n",
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131 |
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" <th>8</th>\n",
|
132 |
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" <td>2024-06-25 07:54:42,478</td>\n",
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133 |
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" <td>2024-06-25 07:54:42,478 - ERROR - tool_handler...</td>\n",
|
134 |
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" <td><h1>429</h1></td>\n",
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135 |
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" </tr>\n",
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136 |
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" <tr>\n",
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137 |
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" <th>9</th>\n",
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138 |
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" <td>2024-06-25 07:57:06,539</td>\n",
|
139 |
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" <td>2024-06-25 07:57:06,539 - ERROR - tool_handler...</td>\n",
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140 |
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" <td><h1>429</h1></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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144 |
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" <td>2024-06-25 08:14:07,060</td>\n",
|
145 |
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" <td>2024-06-25 08:14:07,060 - ERROR - tool_handler...</td>\n",
|
146 |
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" <td><h1>429</h1></td>\n",
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147 |
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" </tr>\n",
|
148 |
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" <tr>\n",
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149 |
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" <th>11</th>\n",
|
150 |
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" <td>2024-06-25 08:14:10,071</td>\n",
|
151 |
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" <td>2024-06-25 08:14:10,071 - ERROR - tool_handler...</td>\n",
|
152 |
+
" <td><h1>429</h1></td>\n",
|
153 |
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" </tr>\n",
|
154 |
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" <tr>\n",
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155 |
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" <th>12</th>\n",
|
156 |
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" <td>2024-06-25 08:14:12,738</td>\n",
|
157 |
+
" <td>2024-06-25 08:14:12,738 - ERROR - tool_handler...</td>\n",
|
158 |
+
" <td><h1>429</h1></td>\n",
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159 |
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" </tr>\n",
|
160 |
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" </tbody>\n",
|
161 |
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"</table>\n",
|
162 |
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"</div>"
|
163 |
+
],
|
164 |
+
"text/plain": [
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165 |
+
" Timestamp \\\n",
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166 |
+
"0 2024-06-25 06:39:01,261 \n",
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167 |
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"1 2024-06-25 06:39:03,968 \n",
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168 |
+
"2 2024-06-25 06:39:06,904 \n",
|
169 |
+
"3 2024-06-25 07:52:06,830 \n",
|
170 |
+
"4 2024-06-25 07:52:09,671 \n",
|
171 |
+
"5 2024-06-25 07:52:33,216 \n",
|
172 |
+
"6 2024-06-25 07:52:35,952 \n",
|
173 |
+
"7 2024-06-25 07:54:39,687 \n",
|
174 |
+
"8 2024-06-25 07:54:42,478 \n",
|
175 |
+
"9 2024-06-25 07:57:06,539 \n",
|
176 |
+
"10 2024-06-25 08:14:07,060 \n",
|
177 |
+
"11 2024-06-25 08:14:10,071 \n",
|
178 |
+
"12 2024-06-25 08:14:12,738 \n",
|
179 |
+
"\n",
|
180 |
+
" Log Entry 429 Error Entry \n",
|
181 |
+
"0 2024-06-25 06:39:01,261 - ERROR - tool_handler... <h1>429</h1> \n",
|
182 |
+
"1 2024-06-25 06:39:03,968 - ERROR - tool_handler... <h1>429</h1> \n",
|
183 |
+
"2 2024-06-25 06:39:06,904 - ERROR - tool_handler... <h1>429</h1> \n",
|
184 |
+
"3 2024-06-25 07:52:06,830 - ERROR - tool_handler... <h1>429</h1> \n",
|
185 |
+
"4 2024-06-25 07:52:09,671 - ERROR - tool_handler... <h1>429</h1> \n",
|
186 |
+
"5 2024-06-25 07:52:33,216 - ERROR - tool_handler... <h1>429</h1> \n",
|
187 |
+
"6 2024-06-25 07:52:35,952 - ERROR - tool_handler... <h1>429</h1> \n",
|
188 |
+
"7 2024-06-25 07:54:39,687 - ERROR - tool_handler... <h1>429</h1> \n",
|
189 |
+
"8 2024-06-25 07:54:42,478 - ERROR - tool_handler... <h1>429</h1> \n",
|
190 |
+
"9 2024-06-25 07:57:06,539 - ERROR - tool_handler... <h1>429</h1> \n",
|
191 |
+
"10 2024-06-25 08:14:07,060 - ERROR - tool_handler... <h1>429</h1> \n",
|
192 |
+
"11 2024-06-25 08:14:10,071 - ERROR - tool_handler... <h1>429</h1> \n",
|
193 |
+
"12 2024-06-25 08:14:12,738 - ERROR - tool_handler... <h1>429</h1> "
|
194 |
+
]
|
195 |
+
},
|
196 |
+
"metadata": {},
|
197 |
+
"output_type": "display_data"
|
198 |
+
}
|
199 |
+
],
|
200 |
+
"source": [
|
201 |
+
"display(error_429_log_df)"
|
202 |
+
]
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"cell_type": "code",
|
206 |
+
"execution_count": null,
|
207 |
+
"metadata": {},
|
208 |
+
"outputs": [],
|
209 |
+
"source": []
|
210 |
+
}
|
211 |
+
],
|
212 |
+
"metadata": {
|
213 |
+
"kernelspec": {
|
214 |
+
"display_name": ".venv",
|
215 |
+
"language": "python",
|
216 |
+
"name": "python3"
|
217 |
+
},
|
218 |
+
"language_info": {
|
219 |
+
"codemirror_mode": {
|
220 |
+
"name": "ipython",
|
221 |
+
"version": 3
|
222 |
+
},
|
223 |
+
"file_extension": ".py",
|
224 |
+
"mimetype": "text/x-python",
|
225 |
+
"name": "python",
|
226 |
+
"nbconvert_exporter": "python",
|
227 |
+
"pygments_lexer": "ipython3",
|
228 |
+
"version": "3.10.13"
|
229 |
+
}
|
230 |
+
},
|
231 |
+
"nbformat": 4,
|
232 |
+
"nbformat_minor": 2
|
233 |
+
}
|