Spaces:
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阳渠
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•
0f17fe9
1
Parent(s):
664f979
Add application file
Browse files
app.py
ADDED
@@ -0,0 +1,211 @@
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1 |
+
import gradio as gr
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import base64
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import io
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import requests
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import json
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from PIL import ImageDraw
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from io import BytesIO
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chat_log = []
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request_count = 0
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now_session_id = ""
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chatbot_css = """
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<style>
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.chat-container {
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display: flex;
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flex-direction: column;
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overflow-y: auto;
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max-height: 630px;
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margin: 10px;
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}
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.user-message, .bot-message {
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margin: 5px;
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padding: 10px;
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border-radius: 10px;
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}
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.user-message {
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text-align: right;
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background-color: #7B68EE;
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color: white;
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align-self: flex-end;
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}
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.bot-message {
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text-align: left;
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background-color: #ADD8E6;
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color: black;
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align-self: flex-start;
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}
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.user-image {
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text-align: right;
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align-self: flex-end;
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max-width: 150px;
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max-height: 300px;
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}
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.bot-image {
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text-align: left;
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align-self: flex-start;
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max-width: 200px;
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max-height: 400px;
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}
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</style>
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"""
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def encode_image(image):
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buffer = BytesIO()
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image.save(buffer, format="JPEG")
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encoded_image = base64.b64encode(buffer.getvalue()).decode('utf-8')
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return encoded_image
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def get_action(image, query, session_id):
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image_base = encode_image(image)
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headers = {
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'Authorization': "Bearer sk-6bddfc116de744c3aa1d66893cc87b20",
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'Content-Type': 'application/json'
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}
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data = {
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"model": "pre-Mobile_Agent_Server-1664",
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"input": {
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"screenshot": image_base,
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"query": query,
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"session_id": session_id
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}
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}
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response = requests.post("https://poc-dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation", headers=headers, data=json.dumps(data), timeout=1500)
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return response
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def image_to_base64(image):
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buffered = io.BytesIO()
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image.save(buffered, format="PNG")
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img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
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img_html = f'<img src="data:image/png;base64,{img_str}" />'
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return img_html
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def chatbot(image, text):
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global chat_log, request_count, now_session_id
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request_count += 1
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user_msg = "<div class='user-message'>{}</div>".format(text)
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if image is not None:
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user_img_html = image_to_base64(image)
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user_msg += "<div class='user-image'>{}</div>".format(user_img_html)
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if request_count == 1:
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try:
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response = get_action(image, text, "")
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action = response.json()['output']['action']
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parameter = response.json()['output']['parameter']
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session_id = response.json()['output']['session_id']
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now_session_id = session_id
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except:
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print(response)
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else:
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try:
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response = get_action(image, "", now_session_id)
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action = response.json()['output']['action']
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parameter = response.json()['output']['parameter']
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except:
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print(response)
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if action == 'end':
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if parameter == '':
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bot_response = "The instructions have been completed. Please click \"Clear\"."
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else:
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bot_response = str(parameter)
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elif action == 'tap':
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bot_response = "Please click on the red circle and upload the current screenshot again."
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parameter = json.loads(parameter)
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x, y = parameter[0], parameter[1]
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radius = 50
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draw = ImageDraw.Draw(image)
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draw.ellipse([x - radius, y - radius, x + radius, y + radius], outline='red', width=4)
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elif action == 'slide':
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bot_response = "Please slide from blue circle to red circle and upload the current screenshot again."
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parameter = json.loads(parameter)
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x1, y1, x2, y2 = parameter[0][0], parameter[0][1], parameter[1][0], parameter[1][1]
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radius = 50
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draw = ImageDraw.Draw(image)
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draw.ellipse([x1 - radius, y1 - radius, x1 + radius, y1 + radius], outline='red', width=5)
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draw.ellipse([x2 - radius, y2 - radius, x2 + radius, y2 + radius], outline='blue', width=5)
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elif action == 'type':
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parameter = str(parameter)
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bot_response = f"Please type the \"{parameter}\" and upload the current screenshot again."
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elif action == 'back':
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bot_response = f"Please back to previous page and upload the current screenshot again."
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elif action == 'exit':
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bot_response = f"Please back to home page and upload the current screenshot again."
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bot_msg = "<div class='bot-message'>{}</div>".format(bot_response)
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if image is not None:
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bot_img_html = image_to_base64(image)
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bot_msg += "<div class='bot-image'>{}</div>".format(bot_img_html)
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chat_log.append(user_msg)
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chat_log.append(bot_msg)
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chat_html = "<div class='chat-container'>{}</div>".format("".join(chat_log))
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return chatbot_css + chat_html
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def lock_input(image, instruction):
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return gr.update(value=instruction, interactive=False), gr.update(value=None)
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def reset_demo():
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global chat_log, request_count, now_session_id
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chat_log = []
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request_count = 0
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now_session_id = ""
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return "", gr.update(value="", interactive=True)
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tos_markdown = ("""### Terms of use
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1. In the Instruction field, enter the instruction you want to execute.
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2. In the Screenshot field, upload a screenshot of your current mobile device.
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3. Click \"Submit\" to get the operation. You need to operate your mobile device according to the operation and then upload the current screenshot again.
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4. Once the Instruction is entered, it cannot be changed midway. If the instruction has been completed or you think the current operation cannot complete the instruction, click \"Clear\".
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5. The 5 cases in \"Examples\" are a complete flow. Click and submit from top to bottom experience.""")
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+
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text_input = gr.Textbox(label="Instruction", placeholder="Input your instruction")
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with gr.Blocks() as demo:
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gr.Markdown("# Mobile-Agent")
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with gr.Row():
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with gr.Column(scale=4):
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gr.Markdown(tos_markdown)
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with gr.Row():
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image_input = gr.Image(label="Screenshot", type="pil", height=570, width=300)
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gr.Examples(examples=[
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["./example/1.jpg", "Turn on the dark mode"],
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["./example/2.jpg", "Turn on the dark mode"],
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["./example/3.jpg", "Turn on the dark mode"],
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["./example/4.jpg", "Turn on the dark mode"],
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["./example/5.jpg", "Turn on the dark mode"],
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], inputs=[image_input, text_input])
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with gr.Column(scale=6):
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text_input.render()
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with gr.Row():
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submit_button = gr.Button("Submit")
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196 |
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clear_button = gr.Button("Clear")
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output_component = gr.HTML(label="Chat history")
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198 |
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submit_button.click(
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fn=lambda image, instruction: (chatbot(image, instruction),) + lock_input(image, instruction),
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inputs=[image_input, text_input],
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outputs=[output_component, text_input, image_input]
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)
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204 |
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clear_button.click(
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fn=reset_demo,
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inputs=[],
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outputs=[output_component, text_input]
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)
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210 |
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demo.queue().launch(share=False)
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