from gradio_client import Client from huggingface_hub import InferenceClient import gradio as gr ss_client = Client("https://omnibus-html-image-current-tab.hf.space/") client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") def format_prompt(message, history): prompt = "" for user_prompt, bot_response in history: prompt += f"[INST] {user_prompt} [/INST]" prompt += f" {bot_response} " prompt += f"[INST] {message} [/INST]" return prompt def chat_inf(system_prompt,prompt,history): if not history: history = [] formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history) stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) output = "" for response in stream: output += response.token.text yield [history,(prompt,output)] def get_screenshot(chat: list,height=5000,width=600,chatblock=[1],header=True,theme="light",wait=3000): result = ss_client.predict(chat,height,width,chatblock,header,theme,wait,api_name="/run_script") # str in 'Chat: [('user','bot'),('user','bot')]' Textbox component # float in 'Height' Number component # float in 'Width' Number component # List[Literal['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20']] in 'Chatblocks' Checkboxgroup component # bool in 'Show Header' Checkbox component # Literal['light', 'dark'] in 'Theme' Radio component # float (numeric value between 1 and 10000) in 'Wait time' Slider component # api_name="/run_script" ## return types: # filepath representing output in 'value_25' Image component, # str representing output in 'value_20' Html component, # List[Dict(image: filepath, caption: str | None)] representing output in 'value_24' Gallery component, # filepath representing output in 'value_23' Image component, out = f'https://omnibus-html-image-current-tab.hf.space/file={result[0]}' print(out) return out chat=[('user','bot'),('user','bot')] #get_screenshot(chat=[('user','bot'),('user','bot')]) with gr.Blocks() as app: with gr.Row(): with gr.Column(scale=3): chat_b = gr.Chatbot() with gr.Row(): with gr.Column(scale=3): inp = gr.Textbox(label="Prompt") with gr.Column(scale=1): btn = gr.Button("Chat") with gr.Group(): stop_btn=gr.Button("Stop") clear_btn=gr.Button("Clear") with gr.Column(scale=1): with gr.Group(): sys_inp = gr.Textbox(label="System Prompt") im_btn=gr.Button("Screenshot") img=gr.Image(type='filepath') btn.click(chat_inf,[sys_inp,inp,chatbot],chatbot) #app.load(get_screenshot,inp,img) app.launch()