Yannael_LB
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Commit
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Parent(s):
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Initial commit
Browse files- README.md +2 -1
- app.py +271 -0
- requirements.txt +4 -0
README.md
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: OpenAI Assistant Wanderlust
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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# -*- coding: utf-8 -*-
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"""OpenAI_Assistant_WanderLust.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/1DLYjk07uQwF_Oqav1NtqMMCz_S2f0q8B
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# OpenAI assistant Wanderlust
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Basic recreation of OpenAI's DevDay Wanderlust demo app. It relies on Gradio and the new Assistants API.
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This space is inspired by the implementation of Fanilo Andrianasolo using Streamlit - https://www.youtube.com/watch?v=tLeqCDKgEDU
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"""
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#!pip install -q -U gradio openai datasets
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import gradio as gr
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import random
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import openai
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import os
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import json
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import plotly.graph_objects as go
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import time
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#os.environ["OPENAI_API_KEY"] = "..." # Replace with your key
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#######################################
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# TOOLS SETUP
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#######################################
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def update_map_state(latitude, longitude, zoom):
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"""OpenAI tool to update map in-app
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"""
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session_state[map_state] = {
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"latitude": latitude,
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"longitude": longitude,
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"zoom": zoom,
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}
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print(session_state[map_state])
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return "Map updated"
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def add_markers_state(latitudes, longitudes, labels):
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"""OpenAI tool to update markers in-app
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"""
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session_state[markers_state] = {
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"lat": latitudes,
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"lon": longitudes,
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"text": labels,
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}
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return "Markers added"
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tool_to_function = {
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"update_map": update_map_state,
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"add_markers": add_markers_state,
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}
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## Helpers
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def get_assistant_id():
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return session_state[assistant_state].id
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def get_thread_id():
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return session_state[thread_state].id
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def get_run_id():
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return session_state[last_openai_run_state].id
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def submit_message(assistant_id, thread_id, user_message):
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client.beta.threads.messages.create(
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thread_id=thread_id, role="user", content=user_message
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)
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run = client.beta.threads.runs.create(
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thread_id=thread_id,
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assistant_id=assistant_id,
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)
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return run
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def get_run_info(run_id, thread_id):
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run = client.beta.threads.runs.retrieve(
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thread_id=thread_id,
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run_id=run_id,
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)
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return run
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#######################################
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# SESSION SETUP
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#######################################
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client = openai.OpenAI()
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assistant_id = "asst_7OC3NTeyCjEZrApdLRklplE7"
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session_state = {}
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assistant_state = "assistant"
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thread_state = "thread"
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conversation_state = "conversation"
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last_openai_run_state = "last_openai_run"
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map_state = "map"
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markers_state = "markers"
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if (assistant_state not in session_state) or (thread_state not in session_state):
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session_state[assistant_state] = client.beta.assistants.retrieve(assistant_id)
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session_state[thread_state] = client.beta.threads.create()
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if conversation_state not in session_state:
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session_state[conversation_state] = []
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if last_openai_run_state not in session_state:
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session_state[last_openai_run_state] = None
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if map_state not in session_state:
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session_state[map_state] = {
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"latitude": 48.85,
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"longitude": 2.35,
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"zoom": 12,
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}
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if markers_state not in session_state:
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session_state[markers_state] = {
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"lat": [],
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"lon": [],
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"text": [],
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}
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fig = go.Figure(go.Scattermapbox())
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fig.update_layout(
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mapbox_style="open-street-map",
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hovermode='closest',
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mapbox=dict(
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center=go.layout.mapbox.Center(
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lat=session_state[map_state]["latitude"],
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lon=session_state[map_state]["longitude"]
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),
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zoom=session_state[map_state]["zoom"]
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),
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)
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def respond(message, chat_history):
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print(chat_history)
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run = submit_message(get_assistant_id(), get_thread_id(), message)
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session_state[last_openai_run_state] = run
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print(run)
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completed = False
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# Polling
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while not completed:
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run = get_run_info(get_run_id(), get_thread_id())
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if run.status == "requires_action":
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tools_output = []
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for tool_call in run.required_action.submit_tool_outputs.tool_calls:
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f = tool_call.function
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f_name = f.name
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f_args = json.loads(f.arguments)
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print(f"Launching function {f_name} with args {f_args}")
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tool_result = tool_to_function[f_name](**f_args)
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tools_output.append(
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{
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"tool_call_id": tool_call.id,
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"output": tool_result,
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}
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)
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print(f"Will submit {tools_output}")
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client.beta.threads.runs.submit_tool_outputs(
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thread_id=get_thread_id(),
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run_id=get_run_id(),
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tool_outputs=tools_output,
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)
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if run.status == "completed":
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completed = True
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else:
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time.sleep(0.1)
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session_state[conversation_state] = [
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[m.role, m.content[0].text.value]
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for m in client.beta.threads.messages.list(get_thread_id(), order="asc").data
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]
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dialog = session_state[conversation_state]
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formatted_dialog = []
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for i in range(int(len(dialog)/2)):
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formatted_dialog.append([dialog[i*2][1],dialog[i*2+1][1]])
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chat_history = formatted_dialog
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fig = None
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if session_state[markers_state] is None:
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fig = go.Figure(go.Scattermapbox())
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else :
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fig = go.Figure(go.Scattermapbox(
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customdata=session_state[markers_state]["text"],
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lat=session_state[markers_state]["lat"],
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lon=session_state[markers_state]["lon"],
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mode='markers',
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marker=go.scattermapbox.Marker(
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size=18
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),
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hoverinfo="text",
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hovertemplate='<b>Name</b>: %{customdata}'
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))
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fig.update_layout(
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mapbox_style="open-street-map",
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hovermode='closest',
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mapbox=dict(
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center=go.layout.mapbox.Center(
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lat=session_state[map_state]["latitude"],
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lon=session_state[map_state]["longitude"]
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),
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zoom=12
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),
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)
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return "", chat_history, fig
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with gr.Blocks(title="OpenAI assistant Wanderlust") as demo:
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gr.Markdown("# OpenAI assistant Wanderlust")
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with gr.Column():
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with gr.Row():
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chatbot = gr.Chatbot()
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map = gr.Plot(fig)
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msg = gr.Textbox("Move the map to Brussels and add markers for five major attractions")
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with gr.Column():
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with gr.Row():
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submit = gr.Button("Submit")
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clear = gr.ClearButton([msg, chatbot])
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msg.submit(respond, [msg, chatbot], [msg, chatbot, map])
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submit.click(respond, [msg, chatbot], [msg, chatbot, map])
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gr.Markdown(
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"""
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# Description
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Basic recreation of OpenAI's DevDay Wanderlust demo app. It relies on Gradio and the new Assistants API. [Github repository](https://github.com/Yannael/openai-assistant-wanderlust)
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This space is inspired by the implementation of [Fanilo Andrianasolo using Streamlit](https://www.youtube.com/watch?v=tLeqCDKgEDU)
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"""
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)
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demo.launch(debug=True)
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requirements.txt
ADDED
@@ -0,0 +1,4 @@
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1 |
+
gradio
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2 |
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openai
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datasets
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4 |
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plotly
|