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Update app.py
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app.py
CHANGED
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@@ -7,6 +7,7 @@ import asyncio
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import sqlite3
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import json
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import gradio as gr
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from gradio_client import Client
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import time
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@@ -22,6 +23,17 @@ stop = asyncio.Future()
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messageTextbox = None
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serverMessageTextbox = None
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# Set up the HTTP server
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class SimpleHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):
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def do_GET(self):
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@@ -46,21 +58,34 @@ def sendErrorMessage(ws, errorMessage):
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errorResponse = {'error': errorMessage}
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ws.send(json.dumps(errorResponse))
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#
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async def askQuestion(question):
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try:
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response = requests.post(
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"https://flowiseai-flowise.hf.space/api/v1/prediction/
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headers={"Content-Type": "application/json"},
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json={"question": message},
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)
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response_content = response.content.decode('utf-8')
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return response_content
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except Exception as e:
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print(e)
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async def listen_for_messages():
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while True:
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if len(client_messages) > 0:
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@@ -88,7 +113,6 @@ async def handleWebSocket(ws):
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message_copy = message
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client_messages.append(message_copy)
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print(f'Received message: {message}')
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parsedMessage = json.loads(message)
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messageText = message
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messages.append(message)
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timestamp = datetime.datetime.now().isoformat()
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@@ -128,6 +152,25 @@ def stop_websockets():
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else:
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print("WebSocket server is not running.")
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# Start the WebSocket server
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async def start_websockets(websocketPort):
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global messageTextbox, serverMessageTextbox, websocket_server
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@@ -139,24 +182,27 @@ async def start_websockets(websocketPort):
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return "Used ports:\n" + '\n'.join(map(str, used_ports))
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with gr.Blocks() as demo:
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demo.queue()
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demo.launch(share=True)
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import sqlite3
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import json
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import gradio as gr
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from bs4 import BeautifulSoup
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from gradio_client import Client
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import time
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messageTextbox = None
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serverMessageTextbox = None
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def slow_echo(message, history):
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for i in range(len(message)):
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time.sleep(0.3)
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yield "You typed: " + message[: i+1]
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# Define a function to read the HTML file
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def read_html_file(file_name):
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with open(file_name, 'r') as file:
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html_content = file.read()
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return html_content
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# Set up the HTTP server
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class SimpleHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):
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def do_GET(self):
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errorResponse = {'error': errorMessage}
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ws.send(json.dumps(errorResponse))
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# Define a function to ask a question to the chatbot and display the response
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async def askQuestion2(question):
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try:
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message = messages[-1]
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client = Client("http://localhost:1111/")
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response = client.predict(
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message,
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fn_index=2
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)
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return response
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except Exception as e:
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print(e)
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# Define a function to ask a question to the chatbot and display the response
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async def askQuestion(question):
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try:
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message = messages[-1]
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response = requests.post(
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"https://flowiseai-flowise.hf.space/api/v1/prediction/8f9d1727-7f27-4445-a5c6-9efd72dd0320",
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headers={"Content-Type": "application/json"},
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json={"question": message},
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)
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response_content = response.content.decode('utf-8')
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return response_content
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except Exception as e:
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print(e)
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async def listen_for_messages():
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while True:
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if len(client_messages) > 0:
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message_copy = message
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client_messages.append(message_copy)
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print(f'Received message: {message}')
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messageText = message
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messages.append(message)
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timestamp = datetime.datetime.now().isoformat()
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else:
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print("WebSocket server is not running.")
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async def start_client():
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async with websockets.connect('ws://localhost:5000') as ws:
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while True:
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# Listen for messages from the server
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server_message = await ws.recv()
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messages.append(server_message)
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return server_message
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client_message = await askQuestion2(server_message)
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# Send the client's response to the server
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await ws.send(client_message)
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# Append the client message and server response to the respective lists
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client_message_textboxes.append(client_message)
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server_response_textboxes.append(server_message)
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return client_message
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# Pause for a short duration to allow for smooth streaming
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await asyncio.sleep(0.1)
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# Start the WebSocket server
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async def start_websockets(websocketPort):
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global messageTextbox, serverMessageTextbox, websocket_server
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return "Used ports:\n" + '\n'.join(map(str, used_ports))
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with gr.Blocks() as demo:
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("Websocket Server", elem_id="websocket_server", id=0):
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with gr.Column(scale=1, min_width=600):
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with gr.Row():
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# Use the client_messages list to update the messageTextbox
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client_message = gr.Textbox(lines=15, max_lines=130, label="Client inputs")
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# Use the server_responses list to update the serverMessageTextbox
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server_message = gr.Textbox(lines=15, max_lines=130, label="Server responses")
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with gr.Row():
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websocketPort = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
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startWebsockets = gr.Button("Start WebSocket Server")
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stopWebsockets = gr.Button("Stop WebSocket Server")
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with gr.Row():
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gui = gr.Button("connect interface")
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with gr.Row():
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port = gr.Textbox()
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startWebsockets.click(start_websockets, inputs=websocketPort, outputs=port)
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gui.click(start_client, inputs=None, outputs=[client_message, server_message])
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with gr.TabItem("FalconChat", elem_id="falconchat", id=1):
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gr.load("HuggingFaceH4/starchat-playground", src="spaces")
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demo.queue()
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demo.launch(share=True, server_port=1111)
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