File size: 9,329 Bytes
9aa6aea
 
 
 
 
 
 
 
6a25365
9aa6aea
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6a25365
9aa6aea
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
862c154
9aa6aea
 
862c154
9aa6aea
 
 
 
862c154
9aa6aea
 
 
 
505f63b
9aa6aea
862c154
9aa6aea
 
 
 
6a25365
 
 
 
 
 
 
 
 
 
 
 
 
9aa6aea
 
 
 
 
 
 
6a25365
9aa6aea
 
 
cd9f1f6
9aa6aea
cd9f1f6
9aa6aea
 
 
 
 
 
 
0bd8053
9aa6aea
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6a25365
 
 
 
 
 
 
 
 
 
 
 
9aa6aea
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6a25365
 
 
 
 
 
 
 
 
 
 
9aa6aea
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
# -*- coding: utf-8 -*-

# ===================================================
#
#    Author        : Fan Zhang
#    Email         : zhangfan@baai.ac.cn
#    Institute     : Beijing Academy of Artificial Intelligence (BAAI)
#    Create On     : 2023-12-12 18:05
#    Last Modified : 2023-12-20 15:59
#    File Name     : chat_frontend.py
#    Description   :
#
# ===================================================

import json
import io
import time
from PIL import Image
import requests

import gradio as gr

from .meta import ConvMeta, Role, DataMeta
from .utils import extract_frames
from .utils import frontend_logger as logging
from .constants import LICENSE, TERM_OF_USE

CONTROLLER_URL = ""

def submit(
    meta,
    image,
    video,
    text,
    num_frames,
):
    if meta is None:
        meta = ConvMeta()

    meta.pop_error()

    check_text = (text != "" and text is not None)
    check_image = image is not None
    check_video = video is not None

    if check_text + check_image + check_video != 1:
        logging.info(f"{meta.log_id}: invalid input: give multi madality simultaneously for single modality input")
        gr.Error("Invalid input number, must give exactly one modality input at a time")
        return meta.format_chatbot(), meta, None, None, ""

    if check_text:
        meta.append(Role.USER, DataMeta.build(text=text))
    elif check_image:
        meta.append(Role.USER, DataMeta.build(image=image))
    elif check_video:
        frames = extract_frames(video, num_frames)
        meta.append(Role.USER, DataMeta.build(frames=frames))

    return meta.format_chatbot(), meta, None, None, ""


def clear_history(meta):
    if meta is None:
        meta = ConvMeta()
    meta.clear()
    return meta.format_chatbot(), meta


def generate(
    meta,
    do_sample,
    max_new_tokens,
    temperature,
    top_k,
    top_p,
    length_penalty,
    num_beams,
    repetition_penalty,
):
    if meta is None:
        meta = ConvMeta()

    meta.pop_error()
    meta.pop()
    prompt = meta.format_chat()

    prompt_list, image_list = [], {}
    for idx, p in enumerate(prompt):
        if isinstance(p, Image.Image):
            key = f"[<IMAGE{idx}>]"
            prompt_list.append(["IMAGE", key])

            buf = io.BytesIO()
            p.save(buf, format="PNG")
            image_list[key] = (key, io.BytesIO(buf.getvalue()), "image/png")
        else:
            prompt_list.append(["TEXT", p])

    if len(image_list) == 0:
        image_list = None

    logging.info(f"{meta.log_id}: construct chat reqeust with prompt {prompt_list}")

    t0 = time.time()
    try:
        rsp = requests.post(
            CONTROLLER_URL + "/v1/mmc",
            files=image_list,
            data={
                "log_id": meta.log_id,
                "prompt": json.dumps(prompt_list),
                "do_sample": do_sample,
                "max_new_tokens": max_new_tokens,
                "temperature": temperature,
                "top_k": top_k,
                "top_p": top_p,
                "length_penalty": length_penalty,
                "num_beams": num_beams,
                "repetition_penalty": repetition_penalty,
            },
        )
    except Exception as ex:
        rsp = requests.Response()
        rsp.status_code = 1099
        rsp._content = str(ex).encode()
    t1 = time.time()

    logging.info(f"{meta.log_id}: get response with status code: {rsp.status_code}, time: {(t1-t0)*1000:.3f}ms")

    if rsp.status_code == requests.codes.ok:
        content = json.loads(rsp.text)
        if content["code"] == 0:
            meta.append(Role.ASSISTANT, DataMeta.build(text=content["data"]))
        else:
            meta.append(Role.ASSISTANT, DataMeta.build(text=f"GENERATE FAILED: {content['data']}", is_error=True))
    else:
        meta.append(Role.ASSISTANT, DataMeta.build(text=f"GENERATE FAILED: http failed with code {rsp.status_code}, msg: {rsp.text}", is_error=True))

    return meta.format_chatbot(), meta


def push_examples(examples, meta):
    if meta is None:
        meta = ConvMeta()

    meta.clear()

    image, prompt = examples
    meta.append(Role.USER, DataMeta.build(image=Image.open(image)))
    meta.append(Role.USER, DataMeta.build(text=prompt))

    return meta.format_chatbot(), meta


def build_chat(args):
    global CONTROLLER_URL
    CONTROLLER_URL = args.controller_url

    with gr.Blocks(title="Emu", theme=gr.themes.Default(primary_hue="blue", secondary_hue="blue")) as demo:
        state = gr.State()


        with gr.Row():
            with gr.Column(scale=2):
                with gr.Row():
                    imagebox = gr.Image(type="pil")
                with gr.Row():
                    videobox = gr.Video()

                with gr.Accordion("Parameters", open=True, visible=True) as parameter_row:
                    do_sample = gr.Checkbox(value=False, label="Do Sample", interactive=True)
                    max_new_tokens = gr.Slider(minimum=0, maximum=2048, value=512, step=1, interactive=True, label="Max Output Tokens")
                    temperature = gr.Slider(minimum=0, maximum=1, value=0.7, step=0.05, interactive=True, label="Temperature")
                    top_k = gr.Slider(minimum=1, maximum=5, value=3, step=1, interactive=True, label="Top K")
                    top_p = gr.Slider(minimum=0, maximum=1, value=0.9, step=0.05, interactive=True, label="Top P")
                    length_penalty = gr.Slider(minimum=0, maximum=5, value=2, step=0.1, interactive=True, label="Length Penalty")
                    num_beams = gr.Slider(minimum=1, maximum=10, value=5, step=1, interactive=True, label="Beam Size")
                    repetition_penalty = gr.Slider(minimum=1.0, maximum=10.0, value=1.0, step=0.5, interactive=True, label="Repetition Penalty")
                    num_frames = gr.Number(interactive=True, value=8, maximum=12, label="Num Video Frames")

            with gr.Column(scale=6):
                chatbot = gr.Chatbot(
                    elem_id="chatbot",
                    label="Emu Chatbot",
                    visible=True,
                    height=1070,
                )

                with gr.Row():
                    with gr.Column(scale=8):
                        textbox = gr.Textbox(
                            show_label=False,
                            placeholder="Enter text and add to prompt",
                            visible=True,
                            container=False,
                        )

                    with gr.Column(scale=1, min_width=60):
                        add_btn = gr.Button(value="Add")

                with gr.Row(visible=True) as button_row:
                    # upvote_btn = gr.Button(value="πŸ‘ Upvote", interactive=False)
                    # downvote_btn = gr.Button(value="πŸ‘Ž Downvote", interactive=False)
                    # flag_btn = gr.Button(value="⚠️ Flag", interactive=False)
                    # regenerate_btn = gr.Button(value="πŸ”„ Regenerate", interactive=False)
                    clear_btn = gr.Button(value="πŸ—‘οΈ Clear History")
                    generate_btn = gr.Button(value="Generate")

        with gr.Row():
            examples = gr.Dataset(components=[gr.Image(type="pil", visible=False), gr.Textbox(visible=False)],
                label="Examples",
                samples=[
                    ["./examples/roadmap.jpg", "Imagine you are a guiding robot.\nHere is a photo I took. Please tell me how to get to the restroom."],
                    ["./examples/shapes.jpeg", "Look at this sequence of three shapes. What shape should come as the fourth shape? Explain your reasoning with detailed descriptions of the first shapes."],
                ],
            )

        gr.Markdown(TERM_OF_USE)
        gr.Markdown(LICENSE)


        clear_btn.click(clear_history, inputs=state, outputs=[chatbot, state])
        textbox.submit(
            submit,
            inputs=[
                state,
                imagebox,
                videobox,
                textbox,
                num_frames,
            ],
            outputs=[
                chatbot,
                state,
                imagebox,
                videobox,
                textbox,
            ],
        )
        add_btn.click(
            submit,
            inputs=[
                state,
                imagebox,
                videobox,
                textbox,
                num_frames,
            ],
            outputs=[
                chatbot,
                state,
                imagebox,
                videobox,
                textbox,
            ],
        )
        generate_btn.click(
            generate,
            inputs=[
                state,
                do_sample,
                max_new_tokens,
                temperature,
                top_k,
                top_p,
                length_penalty,
                num_beams,
                repetition_penalty,
            ],
            outputs=[
                chatbot,
                state,
            ],
        )
        examples.click(
            push_examples,
            inputs=[
                examples,
                state,
            ],
            outputs=[
                chatbot,
                state,
            ]
        )

    return demo