Update app.py
Browse files
app.py
CHANGED
|
@@ -3,7 +3,6 @@ import base64
|
|
| 3 |
import gradio as gr
|
| 4 |
from gradio_client import Client, file
|
| 5 |
import time
|
| 6 |
-
import json
|
| 7 |
from gradio import utils
|
| 8 |
|
| 9 |
MODEL_NAME = "QWEN"
|
|
@@ -16,8 +15,6 @@ def read(filename):
|
|
| 16 |
|
| 17 |
SYS_PROMPT = read('system_prompt.txt')
|
| 18 |
|
| 19 |
-
ABS_URL = "https://orrinin-hcare.hf.space/file="
|
| 20 |
-
|
| 21 |
DESCRIPTION = '''
|
| 22 |
<div>
|
| 23 |
<h1 style="text-align: center;">家庭医生demo</h1>
|
|
@@ -57,7 +54,7 @@ def process_text(text_input, unit):
|
|
| 57 |
time.sleep(0.1)
|
| 58 |
response = job.result()
|
| 59 |
print(response)
|
| 60 |
-
return response[
|
| 61 |
|
| 62 |
def process_image(image_input, unit):
|
| 63 |
if image_input is not None:
|
|
@@ -76,20 +73,21 @@ def process_image(image_input, unit):
|
|
| 76 |
)
|
| 77 |
print(res5)
|
| 78 |
|
| 79 |
-
|
| 80 |
-
data = json.load(f)
|
| 81 |
-
data[0][0]['name'] = ABS_URL + image
|
| 82 |
-
with open(res5, 'w') as f:
|
| 83 |
-
json.dump(data, f, indent=4)
|
| 84 |
-
|
| 85 |
-
job = client.submit(
|
| 86 |
res5,
|
| 87 |
prompt,
|
| 88 |
fn_index=0
|
| 89 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 90 |
response = job.result()
|
| 91 |
print(response)
|
| 92 |
-
|
|
|
|
| 93 |
|
| 94 |
def main(text_input="", image_input=None, unit=""):
|
| 95 |
if text_input and image_input is None:
|
|
|
|
| 3 |
import gradio as gr
|
| 4 |
from gradio_client import Client, file
|
| 5 |
import time
|
|
|
|
| 6 |
from gradio import utils
|
| 7 |
|
| 8 |
MODEL_NAME = "QWEN"
|
|
|
|
| 15 |
|
| 16 |
SYS_PROMPT = read('system_prompt.txt')
|
| 17 |
|
|
|
|
|
|
|
| 18 |
DESCRIPTION = '''
|
| 19 |
<div>
|
| 20 |
<h1 style="text-align: center;">家庭医生demo</h1>
|
|
|
|
| 54 |
time.sleep(0.1)
|
| 55 |
response = job.result()
|
| 56 |
print(response)
|
| 57 |
+
return response[1][0][1]
|
| 58 |
|
| 59 |
def process_image(image_input, unit):
|
| 60 |
if image_input is not None:
|
|
|
|
| 73 |
)
|
| 74 |
print(res5)
|
| 75 |
|
| 76 |
+
res0 = client.predict(
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 77 |
res5,
|
| 78 |
prompt,
|
| 79 |
fn_index=0
|
| 80 |
)
|
| 81 |
+
|
| 82 |
+
print(res0)
|
| 83 |
+
|
| 84 |
+
response = client.submit(
|
| 85 |
+
fn_index=1
|
| 86 |
+
)
|
| 87 |
response = job.result()
|
| 88 |
print(response)
|
| 89 |
+
|
| 90 |
+
return response[1][0][1]
|
| 91 |
|
| 92 |
def main(text_input="", image_input=None, unit=""):
|
| 93 |
if text_input and image_input is None:
|