From 499ec23bf4a9ba29ea302f32bfb4b75b7529cb51 Mon Sep 17 00:00:00 2001
From: Grant Linville <grant@acorn.io>
Date: Wed, 8 May 2024 22:24:19 -0400
Subject: [PATCH] chore: update sentiments example

Signed-off-by: Grant Linville <grant@acorn.io>
---
 .../{sentiments/tweet.gpt => sentiments.gpt}  | 15 ++++--------
 examples/sentiments/README.md                 | 22 -----------------
 examples/sentiments/main.py                   | 24 -------------------
 examples/sentiments/requirements.txt          |  1 -
 4 files changed, 4 insertions(+), 58 deletions(-)
 rename examples/{sentiments/tweet.gpt => sentiments.gpt} (53%)
 delete mode 100644 examples/sentiments/README.md
 delete mode 100644 examples/sentiments/main.py
 delete mode 100644 examples/sentiments/requirements.txt

diff --git a/examples/sentiments/tweet.gpt b/examples/sentiments.gpt
similarity index 53%
rename from examples/sentiments/tweet.gpt
rename to examples/sentiments.gpt
index 5a25acf2..ab62c76a 100644
--- a/examples/sentiments/tweet.gpt
+++ b/examples/sentiments.gpt
@@ -1,18 +1,11 @@
-tools: sys.write, get-tweet-text, sentiments
+tools: github.com/gptscript-ai/browser, sentiments
 description: get the sentiments expressed in a tweet
 args: url: URL of the tweet to analyze
 
 Perform the actions in the following order:
 
-Get the text of the tweet referenced by "${url} and save it in the file content.txt
-Next analyze the sentiments expressed in this file
-
----
-name: get-tweet-text
-description: get text content of a tweet
-args: url: url towards a tweet
-
-#!python3 main.py "$url"
+Get the text of the tweet referenced by $url.
+Then, analyze the sentiments expressed in this tweet.
 
 ---
 name: sentiments
@@ -21,4 +14,4 @@ args: content: any string
 
 You are a program designed to assess the sentiments expressed by a writer in a text.
 
-Do not give too many details, just the overall sentiments that is expressed in "${content}"
\ No newline at end of file
+Do not give too many details, just the overall sentiments that is expressed in "${content}"
diff --git a/examples/sentiments/README.md b/examples/sentiments/README.md
deleted file mode 100644
index 8db7cb29..00000000
--- a/examples/sentiments/README.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# Tweet sentiments analysis
-
-This example takes a tweet's URL and analyse the sentiments of the text
-
-## Run the Example
-
-```bash
-# Create a Python venv
-python3 -m venv venv
-
-# Source it
-source venv/bin/activate
-
-# Install the packages
-pip install -r requirements.txt
-
-# Set your OpenAI key
-export OPENAI_API_KEY=your-api-key
-
-# Run the example
-gptscript tweet.gpt --url https://x.com/ibuildthecloud/status/1765748793998467179
-```
diff --git a/examples/sentiments/main.py b/examples/sentiments/main.py
deleted file mode 100644
index 5b01dbda..00000000
--- a/examples/sentiments/main.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import sys
-from selenium import webdriver
-from selenium.webdriver.common.by import By
-from selenium.webdriver.support.ui import WebDriverWait
-from selenium.webdriver.support import expected_conditions as EC
-
-# Get url
-url = sys.argv[1]
-
-# Setup WebDriver options
-options = webdriver.ChromeOptions()
-options.add_argument("--headless")
-options.add_argument("user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36")
-driver = webdriver.Chrome(options=options)
-
-# Navigate to the page and get field
-driver.get(url)
-try:
-    element = WebDriverWait(driver, 50).until(
-        EC.presence_of_element_located((By.CSS_SELECTOR, "div[data-testid='tweetText'] > span"))
-    )
-    print(element.text)
-finally:
-    driver.quit()
diff --git a/examples/sentiments/requirements.txt b/examples/sentiments/requirements.txt
deleted file mode 100644
index 80c2c892..00000000
--- a/examples/sentiments/requirements.txt
+++ /dev/null
@@ -1 +0,0 @@
-selenium==4.18.1
\ No newline at end of file