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Update app.py
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app.py
CHANGED
@@ -1,6 +1,6 @@
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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from playwright.
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import json
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# Define model and inference parameters
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@@ -22,41 +22,41 @@ def generate_actions(input_text):
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actions = response.split("\n")
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return actions
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# Function to initialize browser and page
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def initialize_browser():
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with
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browser = p.chromium.launch()
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page = browser.new_page()
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return browser, page
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# Gradio interface
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def run_agent(input_text):
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with
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browser, page = initialize_browser()
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actions = generate_actions(input_text)
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for action in actions:
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if "open website" in action:
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website = action.split(" ")[-1]
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page.goto(website)
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elif "click" in action:
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selector = action.split(" ")[-1]
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page.click(selector)
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elif "type" in action:
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text = action.split(" ")[-1]
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page.type(text)
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elif "submit" in action:
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page.press("Enter")
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else:
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print(f"Action not recognized: {action}")
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return f"Successfully executed actions based on: {input_text}"
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iface = gr.Interface(
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fn=run_agent,
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inputs=gr.Textbox(label="Enter your request"),
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outputs=gr.Textbox(label="Response"),
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title="Automated Agent",
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description="Enter a task or instruction for the agent to perform."
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)
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iface.launch()
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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from playwright.async_api import async_playwright
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import json
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# Define model and inference parameters
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actions = response.split("\n")
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return actions
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# Function to initialize browser and page (now asynchronous)
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async def initialize_browser():
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async with async_playwright() as p:
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browser = await p.chromium.launch()
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page = await browser.new_page()
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return browser, page
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# Gradio interface (now using the asynchronous function)
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async def run_agent(input_text):
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async with async_playwright() as p:
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browser, page = await initialize_browser()
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actions = generate_actions(input_text)
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for action in actions:
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if "open website" in action:
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website = action.split(" ")[-1]
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await page.goto(website)
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elif "click" in action:
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selector = action.split(" ")[-1]
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await page.click(selector)
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elif "type" in action:
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text = action.split(" ")[-1]
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await page.type(text)
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elif "submit" in action:
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await page.press("Enter")
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else:
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print(f"Action not recognized: {action}")
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return f"Successfully executed actions based on: {input_text}"
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iface = gr.Interface(
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fn=run_agent, # Pass the async function directly
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inputs=gr.Textbox(label="Enter your request"),
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outputs=gr.Textbox(label="Response"),
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title="Automated Agent",
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description="Enter a task or instruction for the agent to perform."
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)
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iface.launch(share=True) # Enable sharing
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