Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -13,16 +13,23 @@ HF_TOKEN = os.environ.get("HF_TOKEN", None)
|
|
13 |
MODEL_ID = os.environ.get("MODEL_ID")
|
14 |
MODEL_NAME = MODEL_ID.split("/")[-1]
|
15 |
|
16 |
-
TITLE = "<h1
|
17 |
|
18 |
-
DESCRIPTION = f'<h3><center>MODEL: <a href="https://hf.co/{MODEL_ID}">{MODEL_NAME}</a></center></h3>'
|
19 |
|
20 |
CSS = """
|
21 |
.duplicate-button {
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
26 |
}
|
27 |
"""
|
28 |
|
@@ -37,7 +44,7 @@ model.eval()
|
|
37 |
|
38 |
|
39 |
@spaces.GPU()
|
40 |
-
def stream_chat(message, history: list, temperature: float, max_length: int):
|
41 |
print(f'message is - {message}')
|
42 |
print(f'history is - {history}')
|
43 |
conversation = []
|
@@ -46,8 +53,9 @@ def stream_chat(message, history: list, temperature: float, max_length: int):
|
|
46 |
conversation.append({"role": "user", "image": image, "content": message['text']})
|
47 |
else:
|
48 |
if len(history) == 0:
|
49 |
-
raise gr.Error("Please upload an image first.")
|
50 |
image = None
|
|
|
51 |
else:
|
52 |
image = Image.open(history[0][0][0])
|
53 |
for prompt, answer in history:
|
@@ -65,9 +73,11 @@ def stream_chat(message, history: list, temperature: float, max_length: int):
|
|
65 |
max_length=max_length,
|
66 |
streamer=streamer,
|
67 |
do_sample=True,
|
68 |
-
|
|
|
69 |
temperature=temperature,
|
70 |
-
repetition_penalty=
|
|
|
71 |
)
|
72 |
gen_kwargs = {**input_ids, **generate_kwargs}
|
73 |
|
@@ -91,9 +101,9 @@ chat_input = gr.MultimodalTextbox(
|
|
91 |
|
92 |
)
|
93 |
EXAMPLES = [
|
94 |
-
[{"text": "Describe it in
|
95 |
-
[{"text": "
|
96 |
-
[{"text": "
|
97 |
]
|
98 |
|
99 |
with gr.Blocks(css=CSS) as demo:
|
@@ -118,12 +128,37 @@ with gr.Blocks(css=CSS) as demo:
|
|
118 |
),
|
119 |
gr.Slider(
|
120 |
minimum=128,
|
121 |
-
maximum=
|
122 |
step=1,
|
123 |
value=1024,
|
124 |
label="Max Length",
|
125 |
render=False,
|
126 |
),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
127 |
],
|
128 |
),
|
129 |
gr.Examples(EXAMPLES,[chat_input])
|
|
|
13 |
MODEL_ID = os.environ.get("MODEL_ID")
|
14 |
MODEL_NAME = MODEL_ID.split("/")[-1]
|
15 |
|
16 |
+
TITLE = "<h1>VL-Chatbox</h1>"
|
17 |
|
18 |
+
DESCRIPTION = f'<p>A SPACE FOR VLM MODELS</p><br><h3><center>MODEL NOW: <a href="https://hf.co/{MODEL_ID}">{MODEL_NAME}</a></center></h3>'
|
19 |
|
20 |
CSS = """
|
21 |
.duplicate-button {
|
22 |
+
margin: auto !important;
|
23 |
+
color: white !important;
|
24 |
+
background: black !important;
|
25 |
+
border-radius: 100vh !important;
|
26 |
+
}
|
27 |
+
h1 {
|
28 |
+
text-align: center;
|
29 |
+
display: block;
|
30 |
+
}
|
31 |
+
p {
|
32 |
+
text-align: center;
|
33 |
}
|
34 |
"""
|
35 |
|
|
|
44 |
|
45 |
|
46 |
@spaces.GPU()
|
47 |
+
def stream_chat(message, history: list, temperature: float, max_length: int, top_p: float, top_k: int, penalty: float):
|
48 |
print(f'message is - {message}')
|
49 |
print(f'history is - {history}')
|
50 |
conversation = []
|
|
|
53 |
conversation.append({"role": "user", "image": image, "content": message['text']})
|
54 |
else:
|
55 |
if len(history) == 0:
|
56 |
+
#raise gr.Error("Please upload an image first.")
|
57 |
image = None
|
58 |
+
conversation.append({"role": "user", "content": message['text']})
|
59 |
else:
|
60 |
image = Image.open(history[0][0][0])
|
61 |
for prompt, answer in history:
|
|
|
73 |
max_length=max_length,
|
74 |
streamer=streamer,
|
75 |
do_sample=True,
|
76 |
+
top_p=top_p,
|
77 |
+
top_k=top_k,
|
78 |
temperature=temperature,
|
79 |
+
repetition_penalty=penalty,
|
80 |
+
eos_token_id=[151329, 151336, 151338],
|
81 |
)
|
82 |
gen_kwargs = {**input_ids, **generate_kwargs}
|
83 |
|
|
|
101 |
|
102 |
)
|
103 |
EXAMPLES = [
|
104 |
+
[{"text": "Describe it in detailed", "files": ["./laptop.jpg"]}],
|
105 |
+
[{"text": "Where it is?", "files": ["./hotel.jpg"]}],
|
106 |
+
[{"text": "Is it real?", "files": ["./spacecat.png"]}]
|
107 |
]
|
108 |
|
109 |
with gr.Blocks(css=CSS) as demo:
|
|
|
128 |
),
|
129 |
gr.Slider(
|
130 |
minimum=128,
|
131 |
+
maximum=8192,
|
132 |
step=1,
|
133 |
value=1024,
|
134 |
label="Max Length",
|
135 |
render=False,
|
136 |
),
|
137 |
+
with gr.Row():
|
138 |
+
gr.Slider(
|
139 |
+
minimum=0.0,
|
140 |
+
maximum=1.0,
|
141 |
+
step=0.1,
|
142 |
+
value=1.0,
|
143 |
+
label="top_p",
|
144 |
+
render=False,
|
145 |
+
),
|
146 |
+
gr.Slider(
|
147 |
+
minimum=1,
|
148 |
+
maximum=20,
|
149 |
+
step=1,
|
150 |
+
value=10,
|
151 |
+
label="top_k",
|
152 |
+
render=False,
|
153 |
+
),
|
154 |
+
gr.Slider(
|
155 |
+
minimum=0.0,
|
156 |
+
maximum=2.0,
|
157 |
+
step=0.1,
|
158 |
+
value=1.0,
|
159 |
+
label="Repetition penalty",
|
160 |
+
render=False,
|
161 |
+
),
|
162 |
],
|
163 |
),
|
164 |
gr.Examples(EXAMPLES,[chat_input])
|