Spaces:
Sleeping
Sleeping
File size: 8,354 Bytes
d43c6a1 3dfc0a6 d43c6a1 494d93f bd0b898 d43c6a1 494d93f |
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 |
import gradio as gr
from PIL import Image
from inference.main import MultiModalPhi2
messages = []
multimodal_phi2 = MultiModalPhi2(
modelname_or_path="Navyabhat/Llava-Phi2",
temperature=0.2,
max_new_tokens=1024,
device="cpu",
)
def add_content(chatbot, text, image, audio_upload, audio_mic) -> gr.Chatbot:
textflag, imageflag, audioflag = False, False, False
if text not in ["", None]:
chatbot.append((text, None))
textflag = True
if image is not None:
chatbot.append(((image,), None))
imageflag = True
if audio_mic is not None:
chatbot.append(((audio_mic,), None))
audioflag = True
else:
if audio_upload is not None:
chatbot.append(((audio_upload,), None))
audioflag = True
if not any([textflag, imageflag, audioflag]):
# Raise an error if neither text nor file is provided
raise gr.Error("Enter a valid text, image or audio")
return chatbot
def clear_data():
return {prompt: None, image: None, audio_upload: None, audio_mic: None, chatbot: []}
def run(history, text, image, audio_upload, audio_mic):
if text in [None, ""]:
text = None
if audio_upload is not None:
audio = audio_upload
elif audio_mic is not None:
audio = audio_mic
else:
audio = None
print("text", text)
print("image", image)
print("audio", audio)
if image is not None:
image = Image.open(image)
outputs = multimodal_phi2(text, audio, image)
# outputs = ""
history.append((None, outputs.title()))
return history, None, None, None, None
# # Custom styling
# interface_style = {
# "box": {
# "backgroundColor": "#f9f9f9",
# "padding": "20px",
# "borderRadius": "10px",
# "boxShadow": "0 0 10px rgba(0, 0, 0, 0.1)",
# },
# "button": {
# "backgroundColor": "#4caf50",
# "color": "#fff",
# "padding": "10px",
# "border": "none",
# "borderRadius": "5px",
# "cursor": "pointer",
# },
# "textbox": {
# "width": "100%",
# "padding": "10px",
# "marginBottom": "10px",
# "boxSizing": "border-box",
# },
# "image": {
# "width": "100%",
# "marginBottom": "10px",
# },
# "audio": {
# "width": "100%",
# "marginBottom": "10px",
# },
# "chatbox": {
# "height": "550px",
# "backgroundColor": "#f0f0f0",
# "borderRadius": "5px",
# "padding": "10px",
# "overflowY": "auto",
# },
# }
# with gr.Blocks() as demo:
# gr.Markdown("## MultiModal Phi2 Model Pretraining and Finetuning from Scratch")
# with gr.Row():
# with gr.Column(scale=4):
# with gr.Box(style=interface_style["box"]):
# with gr.Row():
# prompt = gr.Textbox(
# placeholder="Enter Prompt",
# lines=2,
# label="Query",
# value=None,
# style=interface_style["textbox"],
# )
# with gr.Row():
# image = gr.Image(
# type="filepath", value=None, style=interface_style["image"]
# )
# with gr.Row():
# audio_upload = gr.Audio(
# source="upload", type="filepath", style=interface_style["audio"]
# )
# audio_mic = gr.Audio(
# source="microphone",
# type="filepath",
# format="mp3",
# style=interface_style["audio"],
# )
# with gr.Column(scale=8):
# with gr.Box(style=interface_style["box"]):
# with gr.Row():
# chatbot = gr.Chatbot(
# avatar_images=("🧑", "🤖"),
# height=550,
# style=interface_style["chatbox"],
# )
# with gr.Row():
# submit = gr.Button(style=interface_style["button"])
# clear = gr.Button(value="Clear", style=interface_style["button"])
# submit.click(
# add_content,
# inputs=[chatbot, prompt, image, audio_upload, audio_mic],
# outputs=[chatbot],
# ).success(
# run,
# inputs=[chatbot, prompt, image, audio_upload, audio_mic],
# outputs=[chatbot, prompt, image, audio_upload, audio_mic],
# )
# clear.click(
# clear_data,
# outputs=[prompt, image, audio_upload, audio_mic, chatbot],
# )
# demo.launch()
custom_html = """
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<style>
body {
font-family: 'Arial', sans-serif;
background-color: #f4f4f4;
margin: 0;
padding: 0;
}
#container {
max-width: 800px;
margin: 20px auto;
padding: 20px;
background-color: #fff;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
border-radius: 10px;
display: flex;
flex-direction: column;
align-items: center;
}
label {
font-weight: bold;
margin-bottom: 5px;
display: block;
}
textarea, input[type="file"] {
width: 100%;
padding: 10px;
margin-bottom: 10px;
box-sizing: border-box;
}
button {
background-color: #4caf50;
color: #fff;
padding: 10px;
border: none;
border-radius: 5px;
cursor: pointer;
}
button:hover {
background-color: #45a049;
}
#chat-container {
max-height: 550px;
overflow-y: auto;
border: 1px solid #ddd;
padding: 10px;
border-radius: 5px;
background-color: #f0f0f0;
margin-top: 10px;
}
</style>
</head>
<body>
<div id="container">
<h2 style="text-align: center;">MultiModal Phi2 Model Pretraining and Finetuning from Scratch</h2>
<div style="display: flex; width: 100%;">
<div style="flex: 1; margin-right: 10px;">
<label for="inputText">Text Input:</label>
<textarea id="inputText" name="inputText" placeholder="Enter Prompt" rows="4"></textarea>
<label for="inputImage">Image Input:</label>
<input type="file" id="inputImage" name="inputImage" accept="image/*">
<label for="inputAudio">Audio Input:</label>
<input type="file" id="inputAudio" name="inputAudio" accept="audio/*">
</div>
<div style="flex: 2;">
<div id="chat-container"></div>
</div>
</div>
<button id="submitBtn">Submit</button>
<button id="clearBtn" style="background-color: #f44336;">Clear</button>
</div>
<script>
document.getElementById('submitBtn').addEventListener('click', function() {
// Add your logic to process and update the chat
// Example: Update the chat with a placeholder response
var inputText = document.getElementById('inputText').value;
var chatContainer = document.getElementById('chat-container');
var response = "<strong>User:</strong> " + inputText + "<br><strong>Model:</strong> This is a placeholder response.<br>";
chatContainer.innerHTML += response;
});
document.getElementById('clearBtn').addEventListener('click', function() {
// Clear input and chat
document.getElementById('inputText').value = '';
document.getElementById('inputImage').value = '';
document.getElementById('inputAudio').value = '';
document.getElementById('chat-container').innerHTML = '';
});
</script>
</body>
</html>
"""
with gr.Blocks() as demo:
gr.HTML(custom_html)
demo.launch() |