huchiahsi commited on
Commit
937f9ce
·
1 Parent(s): a299303

將各版本都準備好

Browse files
Files changed (3) hide show
  1. app.py +58 -24
  2. gemini_simple.py +24 -0
  3. geminiai_with_history.py +32 -0
app.py CHANGED
@@ -1,30 +1,64 @@
1
- import os
2
  import gradio as gr
3
- from google import genai
4
- from google.genai import types
5
-
6
- # 初始化 Gemini client
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- api_key = os.getenv("GOOGLE_API_KEY")
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- client = genai.Client(api_key=api_key)
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- chat = client.chats.create(model="gemini-2.0-flash",
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- config=types.GenerateContentConfig(
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- system_instruction="You are a helpful assistant and always respond in Traditional Chinese.",
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- temperature=0.2,
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- max_output_tokens=256,
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- top_p=0.8,
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- top_k=40,
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- ),)
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- # 回應函數(符合 type="messages" 的格式)
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- def respond(message,history):
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- response = chat.send_message(message)
20
- return response.text
21
-
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- # Gradio Chat Interface
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
23
  demo = gr.ChatInterface(
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- fn=respond,
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- type="messages",
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- title="Gemini Chatbot",
 
 
 
 
 
 
 
 
 
 
27
  )
28
 
 
29
  if __name__ == "__main__":
30
  demo.launch()
 
 
1
  import gradio as gr
2
+ from huggingface_hub import InferenceClient
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+
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+ """
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+ For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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+ """
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+ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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+
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+
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+ def respond(
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+ message,
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+ history: list[tuple[str, str]],
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+ system_message,
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+ max_tokens,
15
+ temperature,
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+ top_p,
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+ ):
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+ messages = [{"role": "system", "content": system_message}]
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+
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+ for val in history:
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+ if val[0]:
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+ messages.append({"role": "user", "content": val[0]})
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+ if val[1]:
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+ messages.append({"role": "assistant", "content": val[1]})
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+
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+ messages.append({"role": "user", "content": message})
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+
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+ response = ""
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+
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+ for message in client.chat_completion(
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+ messages,
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+ max_tokens=max_tokens,
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+ stream=True,
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+ temperature=temperature,
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+ top_p=top_p,
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+ ):
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+ token = message.choices[0].delta.content
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+
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+ response += token
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+ yield response
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+
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+
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+ """
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+ For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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+ """
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  demo = gr.ChatInterface(
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+ respond,
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+ additional_inputs=[
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+ gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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+ gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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+ gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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+ gr.Slider(
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+ minimum=0.1,
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+ maximum=1.0,
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+ value=0.95,
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+ step=0.05,
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+ label="Top-p (nucleus sampling)",
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+ ),
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+ ],
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  )
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+
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  if __name__ == "__main__":
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  demo.launch()
gemini_simple.py ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import gradio as gr
3
+ from google import genai
4
+
5
+ # 初始化 Gemini client
6
+ api_key = os.getenv("GOOGLE_API_KEY")
7
+ client = genai.Client(api_key=api_key)
8
+ chat = client.chats.create(model="gemini-2.0-flash")
9
+ system_prompt = "You are a helpful assistant and always respond in Traditional Chinese."
10
+
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+ # 回應函數(符合 type="messages" 的格式)
12
+ def respond(message,history):
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+ response = chat.send_message(f"{system_prompt}:{message}")
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+ return response.text
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+
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+ # Gradio Chat Interface
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+ demo = gr.ChatInterface(
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+ fn=respond,
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+ type="messages",
20
+ title="Gemini Chatbot",
21
+ )
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+
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+ if __name__ == "__main__":
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+ demo.launch()
geminiai_with_history.py ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import gradio as gr
3
+ from google import genai
4
+ from google.genai import types
5
+
6
+ # 初始化 Gemini client
7
+ api_key = os.getenv("GOOGLE_API_KEY")
8
+ client = genai.Client(api_key=api_key)
9
+ chat = client.chats.create(
10
+ model="gemini-2.0-flash",
11
+ config=types.GenerateContentConfig(
12
+ system_instruction="You are a helpful assistant and always respond in Traditional Chinese.",
13
+ temperature=0.2,
14
+ max_output_tokens=256,
15
+ top_p=0.8,
16
+ top_k=40,
17
+ ),
18
+ )
19
+ # 回應函數(符合 type="messages" 的格式)
20
+ def respond(message,history):
21
+ response = chat.send_message(message)
22
+ return response.text
23
+
24
+ # Gradio Chat Interface
25
+ demo = gr.ChatInterface(
26
+ fn=respond,
27
+ type="messages",
28
+ title="Gemini Chatbot",
29
+ )
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+
31
+ if __name__ == "__main__":
32
+ demo.launch()