Update app.py
Browse files
app.py
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import gradio as gr
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import aiohttp
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import asyncio
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import json
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LLM_API = os.environ.get("LLM_API")
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LLM_URL = os.environ.get("LLM_URL")
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USER_ID = "HuggingFace Space" # Placeholder user ID
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async def send_chat_message(LLM_URL, LLM_API, user_input):
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payload = {
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"inputs": {},
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@@ -19,48 +22,53 @@ async def send_chat_message(LLM_URL, LLM_API, user_input):
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print("Sending chat message payload:", payload) # Debug information
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async with aiohttp.ClientSession() as session:
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continue
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async def handle_input(user_input):
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chat_response = await send_chat_message(LLM_URL, LLM_API, user_input)
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print("Chat response:", chat_response) # Debug information
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return chat_response
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def run_sync(user_input):
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return asyncio.run(handle_input(user_input))
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#
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user_input = gr.Textbox(label='歡迎問我加密貨幣交易所的各種疑難雜症')
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examples = [
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["MAX 帳號刪除關戶後,又重新註冊 MAX 後要怎辦?"],
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["手機APP怎麼操作掛單交易?"],
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@@ -77,12 +85,20 @@ with gr.Blocks() as iface:
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gr.HTML(TITLE)
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gr.HTML(SUBTITLE)
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gr.HTML(LINKS)
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gr.
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)
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iface.launch()
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import os
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import gradio as gr
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import aiohttp
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import asyncio
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import json
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from functools import lru_cache
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LLM_API = os.environ.get("LLM_API")
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LLM_URL = os.environ.get("LLM_URL")
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USER_ID = "HuggingFace Space" # Placeholder user ID
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@lru_cache(maxsize=32)
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async def send_chat_message(LLM_URL, LLM_API, user_input):
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payload = {
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"inputs": {},
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print("Sending chat message payload:", payload) # Debug information
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async with aiohttp.ClientSession() as session:
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try:
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async with session.post(
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url=f"{LLM_URL}/chat-messages",
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headers={"Authorization": f"Bearer {LLM_API}"},
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json=payload,
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timeout=aiohttp.ClientTimeout(total=60)
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) as response:
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if response.status != 200:
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print(f"Error: {response.status}")
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return f"Error: {response.status}"
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full_response = []
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async for line in response.content:
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line = line.decode('utf-8').strip()
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if not line:
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continue
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if "data: " not in line:
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continue
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try:
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print("Received line:", line) # Debug information
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data = json.loads(line.split("data: ")[1])
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if "answer" in data:
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full_response.append(data["answer"])
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except (IndexError, json.JSONDecodeError) as e:
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print(f"Error parsing line: {line}, error: {e}") # Debug information
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continue
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if full_response:
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return ''.join(full_response).strip()
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else:
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return "Error: No response found in the response"
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except Exception as e:
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print(f"Exception: {e}")
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return f"Exception: {e}"
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async def handle_input(user_input):
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print(f"Handling input: {user_input}")
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chat_response = await send_chat_message(LLM_URL, LLM_API, user_input)
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print("Chat response:", chat_response) # Debug information
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return chat_response
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def run_sync(user_input):
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print(f"Running sync with input: {user_input}")
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return asyncio.run(handle_input(user_input))
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# 定義 Gradio 界面
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user_input = gr.Textbox(label='歡迎問我加密貨幣交易所的各種疑難雜症', placeholder='在此輸入問題...')
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examples = [
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["MAX 帳號刪除關戶後,又重新註冊 MAX 後要怎辦?"],
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["手機APP怎麼操作掛單交易?"],
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gr.HTML(TITLE)
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gr.HTML(SUBTITLE)
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gr.HTML(LINKS)
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with gr.Row():
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chatbot = gr.Chatbot()
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with gr.Row():
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user_input = gr.Textbox(label='輸入您的問題', placeholder="在此輸入問題...")
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submit_button = gr.Button("送出")
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gr.Examples(examples=examples, inputs=user_input)
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with gr.Row():
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feedback_output = gr.Textbox(label='反饋結果', interactive=False)
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def chat(user_input, history):
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response = run_sync(user_input)
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history.append((user_input, response))
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return history, history
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submit_button.click(fn=chat, inputs=[user_input, chatbot], outputs=[chatbot, chatbot])
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iface.launch()
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