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add yt, web
Browse files- app.py +38 -2
- requirements.txt +4 -1
app.py
CHANGED
@@ -1,5 +1,8 @@
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import gradio as gr
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import pandas as pd
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import os
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from openai import OpenAI
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import json
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@@ -11,8 +14,14 @@ def process_file(file):
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# 读取文件
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if file.name.endswith('.csv'):
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df = pd.read_csv(file)
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df = pd.read_excel(file)
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df_string = df.to_string()
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# 宜蘭:移除@XX@符号 to |
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@@ -29,6 +38,26 @@ def process_file(file):
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df_summarise, \
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df_string
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def generate_df_summarise(df_string):
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# 使用 OpenAI 生成基于上传数据的问题
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sys_content = "你是一個資料分析師,服務對象為老師,請精讀資料,使用 zh-TW"
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@@ -131,7 +160,9 @@ def respond(user_message, df_string_output, chat_history):
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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file_upload = gr.File(label="Upload your file")
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chatbot = gr.Chatbot()
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msg = gr.Textbox(label="Message")
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send_button = gr.Button("Send")
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@@ -163,6 +194,11 @@ with gr.Blocks() as demo:
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# file_upload.change(process_file, inputs=file_upload, outputs=df_string_output)
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file_upload.change(process_file, inputs=file_upload, outputs=[btn_1, btn_2, btn_3, df_summarise, df_string_output])
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import gradio as gr
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import pandas as pd
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import requests
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from bs4 import BeautifulSoup
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from docx import Document
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import os
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from openai import OpenAI
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import json
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# 读取文件
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if file.name.endswith('.csv'):
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df = pd.read_csv(file)
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text = df_to_text(df)
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elif file.name.endswith('.xlsx'):
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df = pd.read_excel(file)
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text = df_to_text(df)
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elif file.name.endswith('.docx'):
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text = docx_to_text(file)
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else:
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raise ValueError("Unsupported file type")
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df_string = df.to_string()
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# 宜蘭:移除@XX@符号 to |
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df_summarise, \
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df_string
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def df_to_text(df):
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# 将 DataFrame 转换为纯文本
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return df.to_string()
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def docx_to_text(file):
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# 将 Word 文档转换为纯文本
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doc = Document(file)
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return "\n".join([para.text for para in doc.paragraphs])
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def process_youtube_link(link):
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# 从 YouTube 链接中提取视频 ID
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return link.split("=")[-1]
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def process_web_link(link):
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# 抓取和解析网页内容
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response = requests.get(link)
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soup = BeautifulSoup(response.content, 'html.parser')
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return soup.get_text()
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def generate_df_summarise(df_string):
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# 使用 OpenAI 生成基于上传数据的问题
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sys_content = "你是一個資料分析師,服務對象為老師,請精讀資料,使用 zh-TW"
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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file_upload = gr.File(label="Upload your CSV or Word file")
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youtube_link = gr.Textbox(label="Enter YouTube Link")
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web_link = gr.Textbox(label="Enter Web Page Link")
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chatbot = gr.Chatbot()
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msg = gr.Textbox(label="Message")
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send_button = gr.Button("Send")
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# file_upload.change(process_file, inputs=file_upload, outputs=df_string_output)
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file_upload.change(process_file, inputs=file_upload, outputs=[btn_1, btn_2, btn_3, df_summarise, df_string_output])
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# 当输入 YouTube 链接时触发
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youtube_link.change(process_youtube_link, inputs=youtube_link, outputs=[btn_1, btn_2, btn_3, df_summarise, df_string_output])
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# 当输入网页链接时触发
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web_link.change(process_web_link, inputs=web_link, outputs=[btn_1, btn_2, btn_3, df_summarise, df_string_output])
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requirements.txt
CHANGED
@@ -1,3 +1,6 @@
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gradio
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pandas
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openai
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gradio
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pandas
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openai>=1.0.0
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requests
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beautifulsoup4
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python-docx
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