9 篇文章带有标签 “gradio”

源码安装

克隆 Reachy Mini Conversation App

git clone https://github.com/wang-junjian/reachy_mini_conversation_app
cd reachy_mini_conversation_app

创建虚拟环境并安装依赖

uv venv --python 3.12
source .venv/bin/activate
uv sync

⚠️ 注意：要完全复现此仓库 uv.lock 文件中的依赖关系，请运行 uv sync --frozen 命令。这将确保 uv 直接从 lock 文件安装依赖项，而无需重新解析或更新任何版本。

安装可选功能

uv sync --extra local_vision         # Local PyTorch/Transformers vision
uv sync --extra yolo_vision          # YOLO face-detection backend for head tracking
uv sync --extra mediapipe_vision     # MediaPipe-based head-tracking
uv sync --extra all_vision           # All vision features

合并额外功能或包含开发依赖项：

Gradio DataFrame

import pandas as pd
import gradio as gr

def read_csv_from_text2sql(file_path="data/text2sql.csv"):
    try:
        df = pd.read_csv(file_path)
        return df
    except Exception as e:
        return pd.DataFrame([{"error": f"❌ {e}"}])

def selected_text2sql_dataframe(selected_index: gr.SelectData, df: gr.DataFrame):
    selected_row = df.iloc[selected_index.index[0]]
    text = selected_row.get('Text', '')
    sql = selected_row.get('SQL', '')
    return text, sql

with gr.Blocks() as demo:
    # UI
    upload_button = gr.UploadButton(label="上传 Text2SQL CSV 文件", 
                                    file_types = ['.csv'], 
                                    file_count = "single")
    df_text2sql = gr.Dataframe(headers=["Text", "SQL"], 
                                type="pandas", 
                                col_count=2, 
                                value=read_csv_from_text2sql,
                                interactive=False)
    with gr.Row():
        textbox_text = gr.Textbox(label="Text", lines=4)
        textbox_sql = gr.Textbox(label="SQL", lines=4)

    # Event
    upload_button.upload(fn=read_csv_from_text2sql, 
                            inputs=upload_button, 
                            outputs=df_text2sql)
    df_text2sql.select(fn=selected_text2sql_dataframe,
                        inputs=df_text2sql,
                        outputs=[textbox_text, textbox_sql])

demo.queue(api_open=False)
demo.launch(max_threads=30)

Gradio Chatbot

DashScope

import os
import pandas as pd
import gradio as gr
from http import HTTPStatus
from dashscope import Generation
from dashscope.api_entities.dashscope_response import Role
from typing import List, Optional, Tuple, Dict, Generator
from urllib.error import HTTPError


DEFAULT_SYSTEM = '您是一个有用的助手。'

History = List[Tuple[str, str]]
Messages = List[Dict[str, str]]

// ...

• CodeQwen1.5-7B-对话-demo

LangChain ChatTongyi

NLP Tasks Interface

参考资料

• Building Generative AI Applications with Gradio
• Open Source Models with Hugging Face 中文
• DeepLearning.AI - Short Courses

Natural Language Processing (NLP)

安装依赖库

pip install transformers

Conversational

• blenderbot-400M-distill

PrivateGPT

安装 Python 3.11

brew install python@3.11

安装

git clone https://github.com/imartinez/privateGPT && cd privateGPT && \
python3.11 -m venv .venv && source .venv/bin/activate && \
pip install --upgrade pip poetry && poetry install --with ui,local && ./scripts/setup

# Launch the privateGPT API server **and** the gradio UI
poetry run python3.11 -m private_gpt

# In another terminal, create a new browser window on your private GPT!
open http://127.0.0.1:8001/

• Quickstart

安装失败 😭

参考资料

• LocalGPT
• PrivateGPT

[FastChat][FastChat]

安装

# 克隆仓库
git clone https://github.com/lm-sys/FastChat
cd FastChat

# 创建虚拟环境
python -m venv env
source env/bin/activate

# 安装
pip install --upgrade pip
pip install -e ".[model_worker,webui]"

创建大模型链接

LLM

mkdir THUDM
ln -s /Users/junjian/HuggingFace/THUDM/chatglm3-6b THUDM/chatglm3-6b

Embedding Model

mkdir BAAI
ln -s /Users/junjian/HuggingFace/BAAI/bge-base-zh-v1.5 BAAI/bge-base-zh-v1.5

启动服务 Controller

python -m fastchat.serve.controller

启动服务 Model Worker LLM python -m fastchat.serve.

• Qwen

快速开始

克隆代码

git clone https://github.com/QwenLM/Qwen.git
cd Qwen

创建虚拟环境

python -m venv env
source env/bin/activate

安装依赖

pip install -r requirements.txt

创建大模型链接

mkdir Qwen
ln -s /Users/junjian/HuggingFace/Qwen/Qwen-14B-Chat Qwen/Qwen-14B-Chat
ln -s /Users/junjian/HuggingFace/Qwen/Qwen-1_8B Qwen/Qwen-1_8B
ln -s /Users/junjian/HuggingFace/Qwen/Qwen-1_8B-Chat Qwen/Qwen-1_8B-Chat
ln -s /Users/junjian/HuggingFace/Qwen/Qwen-7B-Chat Qwen/Qwen-7B-Chat

聊天

• 命令行聊天

python cli_demo.py

• Web 聊天

python web_demo.py

FastChat

克隆代码

git clone https://github.com/lm-sys/FastChat
cd FastChat

创建虚拟环境 python -m venv env source env

Hugging Face 上创建 ChatGPT Space

克隆

git clone https://huggingface.co/spaces/wangjunjian/ChatGPT
cd ChatGPT

创建应用（聊天机器人）

chat.py

这里的 Conversation 记录了所有的对话消息，在提问前，会检查是否超过最大 token 数量，如果超过，会删除第一条与用户的对话消息，然后再提问。

import openai
import tiktoken


class Conversation:
    def __init__(self, prompt, model="gpt-3.5-turbo", temperature=0.8, max_tokens=250):
        self.prompt = prompt
        self.model = model
        self.temperature = temperature
        self.max_tokens = max_tokens

        self._init_messages()

    def _init_messages(self):
        self.messages = [{"role": "system", "content": self.prompt}]
// ...