Spaces:
Sleeping
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feat(DOCUMENTATION): :bookmark: Add Jupyter notebook for API interaction, including functions for text generation and summarization with example usage.
Browse files- test.ipynb +154 -0
test.ipynb
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import requests"
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# API configuration\n",
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"API_URL = \"https://maximofn-iriusrisktestchallenge.hf.space\"\n",
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"API_KEY = \"your_api_key\""
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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": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Headers for authentication\n",
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"headers = {\n",
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" \"X-API-Key\": API_KEY,\n",
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" \"Content-Type\": \"application/json\"\n",
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"}"
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Generate text\n",
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"def generate_text(query, thread_id=\"default\", system_prompt=None):\n",
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" url = f\"{API_URL}/generate\"\n",
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" \n",
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" data = {\n",
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" \"query\": query,\n",
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" \"thread_id\": thread_id\n",
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" }\n",
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" \n",
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" # Add system prompt if provided\n",
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" if system_prompt:\n",
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" data[\"system_prompt\"] = system_prompt\n",
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" \n",
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" try:\n",
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" response = requests.post(url, json=data, headers=headers)\n",
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" if response.status_code == 200:\n",
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" result = response.json()\n",
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" return result[\"generated_text\"]\n",
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" else:\n",
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" print(f\"Error: {response.status_code}\")\n",
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" print(f\"Details: {response.text}\")\n",
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" return None\n",
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" except Exception as e:\n",
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" print(f\"Request failed: {str(e)}\")\n",
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" return None"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Example with custom thread and system prompt\n",
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"result = generate_text(\n",
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" query=\"Explain object-oriented programming\",\n",
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" thread_id=\"programming_tutorial\",\n",
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" system_prompt=\"You are a programming teacher. Explain concepts in simple terms.\"\n",
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")"
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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": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Summarize text\n",
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"def summarize_text(text, max_length=200, thread_id=\"default\"):\n",
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" url = f\"{API_URL}/summarize\"\n",
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" \n",
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" data = {\n",
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" \"text\": text,\n",
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" \"max_length\": max_length,\n",
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" \"thread_id\": thread_id\n",
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" }\n",
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" \n",
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" try:\n",
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" response = requests.post(url, json=data, headers=headers)\n",
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" if response.status_code == 200:\n",
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" result = response.json()\n",
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" return result[\"summary\"]\n",
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" else:\n",
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" print(f\"Error: {response.status_code}\")\n",
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" print(f\"Details: {response.text}\")\n",
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" return None\n",
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" except Exception as e:\n",
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" print(f\"Request failed: {str(e)}\")\n",
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" return None"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Example usage\n",
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"text_to_summarize = \"\"\"\n",
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"Python is a high-level, interpreted programming language created by Guido van Rossum \n",
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"and released in 1991. Python's design philosophy emphasizes code readability with \n",
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"the use of significant whitespace. Its language constructs and object-oriented \n",
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"approach aim to help programmers write clear, logical code for small and large-scale projects.\n",
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"\"\"\"\n",
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"\n",
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"summary = summarize_text(text_to_summarize, max_length=50)\n",
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"if summary:\n",
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" print(\"Summary:\", summary)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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