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| from gradio_client import Client | |
| from huggingface_hub import InferenceClient | |
| import gradio as gr | |
| import random | |
| 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 = "<s>" | |
| if history: | |
| for user_prompt, bot_response in history: | |
| prompt += f"[INST] {user_prompt} [/INST]" | |
| prompt += f" {bot_response}</s> " | |
| prompt += f"[INST] {message} [/INST]" | |
| return prompt | |
| def chat_inf(system_prompt,prompt,history): | |
| if not history: | |
| history = [] | |
| hist_len=0 | |
| if history: | |
| hist_len=len(history) | |
| print(hist_len) | |
| seed = random.randint(1,1111111111111111) | |
| generate_kwargs = dict( | |
| temperature=0.9, | |
| max_new_tokens=10480, | |
| top_p=0.95, | |
| repetition_penalty=1.0, | |
| do_sample=True, | |
| seed=seed, | |
| ) | |
| 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 [(prompt,output)] | |
| history.append((prompt,output)) | |
| yield history | |
| def get_screenshot(chat: list,height=5000,width=600,chatblock=[],theme="light",wait=3000,header=True): | |
| print(chatblock) | |
| tog = 0 | |
| if chatblock: | |
| tog = 3 | |
| result = ss_client.predict(str(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]}' | |
| out = f'https://omnibus-html-image-current-tab.hf.space/file={result[tog]}' | |
| 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): | |
| with gr.Group(): | |
| chat_b = gr.Chatbot(label="Chatbot Mixtral-8x7b-instruct-v0.1") | |
| with gr.Row(): | |
| with gr.Column(scale=3): | |
| inp = gr.Textbox(label="Prompt") | |
| sys_inp = gr.Textbox(label="System Prompt (optional)") | |
| btn = gr.Button("Chat") | |
| with gr.Column(scale=1): | |
| with gr.Group(): | |
| stop_btn=gr.Button("Stop") | |
| clear_btn=gr.Button("Clear") | |
| with gr.Column(scale=1): | |
| with gr.Group(): | |
| with gr.Row(): | |
| im_height=gr.Number(label="Height",value=5000) | |
| im_width=gr.Number(label="Width",value=500) | |
| wait_time=gr.Number(label="Wait Time",value=3000) | |
| theme=gr.Radio(label="Theme", choices=["light","dark"],value="light") | |
| chatblock=gr.Dropdown(label="Chatblocks",info="Choose specific blocks of chat",choices=[c for c in range(1,40)],multiselect=True) | |
| im_btn=gr.Button("Screenshot") | |
| img=gr.Image(type='filepath') | |
| btn.click(chat_inf,[sys_inp,inp,chat_b],chat_b) | |
| im_btn.click(get_screenshot,[chat_b,im_height,im_width,chatblock,theme,wait_time],img) | |
| #app.load(get_screenshot,inp,img) | |
| app.launch() |