Update app.py
Browse files
app.py
CHANGED
@@ -3,7 +3,6 @@ import base64
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import gradio as gr
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from gradio_client import Client, file
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import time
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import json
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from gradio import utils
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MODEL_NAME = "QWEN"
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@@ -16,8 +15,6 @@ def read(filename):
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SYS_PROMPT = read('system_prompt.txt')
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ABS_URL = "https://orrinin-hcare.hf.space/file="
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DESCRIPTION = '''
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<div>
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<h1 style="text-align: center;">家庭医生demo</h1>
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@@ -57,7 +54,7 @@ def process_text(text_input, unit):
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time.sleep(0.1)
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response = job.result()
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print(response)
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return response[
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def process_image(image_input, unit):
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if image_input is not None:
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@@ -76,20 +73,21 @@ def process_image(image_input, unit):
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)
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print(res5)
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data = json.load(f)
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data[0][0]['name'] = ABS_URL + image
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with open(res5, 'w') as f:
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json.dump(data, f, indent=4)
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job = client.submit(
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res5,
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prompt,
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fn_index=0
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)
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response = job.result()
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print(response)
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def main(text_input="", image_input=None, unit=""):
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if text_input and image_input is None:
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import gradio as gr
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from gradio_client import Client, file
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import time
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from gradio import utils
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MODEL_NAME = "QWEN"
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SYS_PROMPT = read('system_prompt.txt')
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DESCRIPTION = '''
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<div>
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<h1 style="text-align: center;">家庭医生demo</h1>
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time.sleep(0.1)
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response = job.result()
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print(response)
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return response[1][0][1]
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def process_image(image_input, unit):
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if image_input is not None:
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)
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print(res5)
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res0 = client.predict(
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res5,
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prompt,
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fn_index=0
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)
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print(res0)
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response = client.submit(
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fn_index=1
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)
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response = job.result()
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print(response)
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return response[1][0][1]
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def main(text_input="", image_input=None, unit=""):
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if text_input and image_input is None:
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