kellyxiaowei commited on
Commit
3c0c21d
·
1 Parent(s): 880071c

Update app.py

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Files changed (1) hide show
  1. app.py +21 -12
app.py CHANGED
@@ -10,7 +10,19 @@ def init_apis(openai_api_key, huggingface_api_key):
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  # 这个函数用于初始化OpenAI和Hugging Face API
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  openai.api_key = openai_api_key
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  headers["Authorization"] = f"Bearer {huggingface_api_key}"
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- print("APIs initialized successfully.")
 
 
 
 
 
 
 
 
 
 
 
 
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  def query(url):
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  # 这个函数会向Hugging Face API发送图像URL,并获取图像中检测到的对象
@@ -21,10 +33,8 @@ def query(url):
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  api_response = requests.request("POST", API_URL, headers=headers, data=data)
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  return json.loads(api_response.content.decode("utf-8"))
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- def process_query(openai_api_key, huggingface_api_key, user_query):
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- init_apis(openai_api_key, huggingface_api_key)
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-
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- print("Processing the image object detection task...")
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  function_descriptions = [
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  {
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  "name": "目标检测模型",
@@ -68,17 +78,16 @@ def process_query(openai_api_key, huggingface_api_key, user_query):
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  return second_response['choices'][0]['message']['content']
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- # Gradio界面
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- iface = gr.Interface(
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  fn=process_query,
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  inputs=[
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- gr.inputs.Textbox(label="OpenAI Key", type="password"),
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- gr.inputs.Textbox(label="HuggingFace Key", type="password"),
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  gr.inputs.Textbox(label="Question")
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  ],
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  outputs="text",
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- title="Image Object Detection with Hugging Face and OpenAI",
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- description="Enter your OpenAI and Hugging Face API keys, and your question. The model will return the detected objects in the image.",
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  )
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- iface.launch()
 
 
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  # 这个函数用于初始化OpenAI和Hugging Face API
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  openai.api_key = openai_api_key
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  headers["Authorization"] = f"Bearer {huggingface_api_key}"
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+ return "APIs initialized successfully."
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+
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+ # 创建用于初始化API的Gradio接口
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+ init_interface = gr.Interface(
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+ fn=init_apis,
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+ inputs=[
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+ gr.inputs.Textbox(label="OpenAI Key", type="password"),
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+ gr.inputs.Textbox(label="HuggingFace Key", type="password"),
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+ ],
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+ outputs="text",
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+ title="Initialize APIs",
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+ description="Enter your OpenAI and Hugging Face API keys.",
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+ )
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  def query(url):
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  # 这个函数会向Hugging Face API发送图像URL,并获取图像中检测到的对象
 
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  api_response = requests.request("POST", API_URL, headers=headers, data=data)
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  return json.loads(api_response.content.decode("utf-8"))
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+ def process_query(user_query):
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+ # 这个函数处理图像对象检测任务
 
 
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  function_descriptions = [
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  {
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  "name": "目标检测模型",
 
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  return second_response['choices'][0]['message']['content']
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+ # 创建用于处理查询的Gradio接口
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+ query_interface = gr.Interface(
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  fn=process_query,
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  inputs=[
 
 
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  gr.inputs.Textbox(label="Question")
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  ],
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  outputs="text",
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+ title="Process Query",
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+ description="Enter your question. The model will return the detected objects in the image.",
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  )
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+ init_interface.launch()
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+ query_interface.launch()