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Update app.py
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app.py
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from gradio_client import Client
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import gradio as gr
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def get_screenshot(chat: list,height=5000,width=600,chatblock=[1],header=True,theme="light",wait=3000):
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result =
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# str in 'Chat: [('user','bot'),('user','bot')]' Textbox component
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# float in 'Height' Number component
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# float in 'Width' Number component
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@@ -26,8 +49,16 @@ chat=[('user','bot'),('user','bot')]
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#get_screenshot(chat=[('user','bot'),('user','bot')])
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with gr.Blocks() as app:
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app.launch()
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from gradio_client import Client, InferenceClient
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import gradio as gr
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ss_client = Client("https://omnibus-html-image-current-tab.hf.space/")
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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def format_prompt(message, history):
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prompt = "<s>"
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for user_prompt, bot_response in history:
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prompt += f"[INST] {user_prompt} [/INST]"
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prompt += f" {bot_response}</s> "
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prompt += f"[INST] {message} [/INST]"
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return prompt
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def chat_inf(system_prompt,prompt,history):
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if not history:
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history = []
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formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
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output = ""
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for response in stream:
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output += response.token.text
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yield [history,(prompt,output)]
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def get_screenshot(chat: list,height=5000,width=600,chatblock=[1],header=True,theme="light",wait=3000):
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result = ss_client.predict(chat,height,width,chatblock,header,theme,wait,api_name="/run_script")
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# str in 'Chat: [('user','bot'),('user','bot')]' Textbox component
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# float in 'Height' Number component
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# float in 'Width' Number component
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#get_screenshot(chat=[('user','bot'),('user','bot')])
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with gr.Blocks() as app:
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with gr.Row():
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with gr.Column(scale=2):
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chat_b = gr.Chatbot()
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with gr.Column(scale=1)
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with gr.Group():
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inp = gr.Textbox(label="Prompt")
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sys_inp = gr.Textbox(label="System Prompt")
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btn = gr.Button("Chat")
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im_btn=gr.Button("Screenshot")
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img=gr.Image(type='filepath')
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btn.click(chat_inf,[sys_inp,inp,chatbot],chatbot)
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#app.load(get_screenshot,inp,img)
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app.launch()
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