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Author | SHA1 | Date | |
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6b13586154 | |||
7192f4bc18 | |||
36cfeffe9c | |||
7f5296b2ef | |||
e5b3ea8b57 | |||
ff7c362cfe | |||
b035bee682 |
@@ -45,14 +45,15 @@ def perform_ocr(screenshot: bytes) -> list[dict]:
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for i in range(n):
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text = data['text'][i]
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if text and text.strip():
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# Fix the center-point calculation (add first, then divide)
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results.append({
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'text': text,
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'x': data['width'][i] + data['left'][i] // 2, # center x position
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'y': data['height'][i] + data['top'][i] // 2 # center y position
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'x': data['left'][i] + data['width'][i] // 2,
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'y': data['top'][i] + data['height'][i] // 2
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})
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# check if debug is enabled
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if logging.getLogger().isEnabledFor(logging.DEBUG):
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if logger.isEnabledFor(logging.DEBUG):
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# take screenshot + put blue circle with x, y on screenshot for each component
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screenshot_with_circles = Image.open(io.BytesIO(screenshot))
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draw = ImageDraw.Draw(screenshot_with_circles)
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@@ -66,9 +67,9 @@ def perform_ocr(screenshot: bytes) -> list[dict]:
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# vertical line
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draw.line((x, y - size, x, y + size), fill=color, width=width)
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screenshot_with_circles.save("screenshot_with_circles.png", format='PNG')
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# save in a file
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logger.debug("Debug, saving ocr results screenshot with circles")
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screenshot_with_circles.save("ocr_results.png", format='PNG')
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# save in a file
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logger.debug("Debug, saving ocr results screenshot with circles")
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screenshot_with_circles.save("ocr_results.png", format='PNG')
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return results
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def screenshot_to_base64(screenshot: bytes) -> str:
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@@ -109,7 +110,7 @@ def wait(duration: float) -> None:
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def search_pc(query: str) -> None:
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"""Presses the Windows key."""
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pyautogui.hotkey('win')
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wait(2)
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wait(4)
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press_keyboard(KeyboardInput(text=query))
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def reprompt(nextsteps: str, processor) -> None:
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@@ -111,12 +111,13 @@ class AIProcessor:
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try:
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ocr_results = ai.compute.perform_ocr(img_bytes)
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except Exception as e:
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traceback.print_exc()
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logger.debug("OCR failed: %s", e)
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self.session.messages.append(
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aic.Message(
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role="assistant",
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content=str(tool_calls),
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content=str(((tc.function.name, tc.function.arguments) for tc in tool_calls)),
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)
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)
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@@ -134,7 +135,7 @@ class AIProcessor:
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output_text: str = response.choices[0].message.content # type: ignore
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outputs.append(output_text)
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self.session.messages.append(
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aic.Message(role="assistant", content=output_text)
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aic.Message(role="assistant", content="Executed: " + (str(*outputs)))
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)
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return [*outputs]
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@@ -31,7 +31,7 @@ FUNCTIONS = [
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"click_type": {
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"type": "string",
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"enum": ["left", "double_left", "middle", "right"],
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"description": "The type of mouse click to perform. `double_left` is a double click."
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"description": "The type of mouse click to perform. `double_left` is a double click, used to open apps or files."
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}
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},
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"required": ["click_type", "x", "y"],
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