Nina
commited on
Commit
Β·
12574b1
1
Parent(s):
9655619
add feedback status
Browse files
app.py
CHANGED
@@ -140,7 +140,7 @@ def save_feedback(feed: str, user_id):
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"time": timestamp,
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}
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log_on_azure(file, logs, share_client)
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return "
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def reset_textbox():
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with gr.Blocks(title="π ClimateGPT", css="style.css") as demo:
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user_id_state = gr.State([user_id])
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# Gradio
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gr.Markdown("<h1><center>ClimateGPT π</center></h1>")
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gr.Markdown(
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown(
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<p><b>Climate change and environmental disruptions have become some of the most pressing challenges facing our planet today</b>. As global temperatures rise and ecosystems suffer, it is essential for individuals to understand the gravity of the situation in order to make informed decisions and advocate for appropriate policy changes.</p>
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<p>However, comprehending the vast and complex scientific information can be daunting, as the scientific consensus references, such as <b>the Intergovernmental Panel on Climate Change (IPCC) reports, span thousands of pages</b> and are often laden with technical jargon. To bridge this gap and make climate science more accessible, we introduce <b>ClimateGPT as a tool to distill expert-level knowledge into easily digestible insights about climate science.</b></p>
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<div class="tip-box">
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@@ -173,12 +176,13 @@ ClimateGPT harnesses modern OCR techniques to parse and preprocess IPCC reports.
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</div>
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"""
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-
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with gr.Column(scale=1):
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gr.Markdown("![](https://i.postimg.cc/fLvsvMzM/Untitled-design-5.png)")
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gr.Markdown(
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with gr.Row():
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with gr.Column(scale=2):
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@@ -191,42 +195,44 @@ ClimateGPT harnesses modern OCR techniques to parse and preprocess IPCC reports.
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placeholder="Ask here your climate-related question and press enter",
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).style(container=False)
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examples_questions = gr.Examples(
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with gr.Column(scale=1, variant="panel"):
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gr.Markdown("### Sources")
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sources_textbox = gr.Textbox(
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@@ -251,7 +257,8 @@ ClimateGPT harnesses modern OCR techniques to parse and preprocess IPCC reports.
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gr.Markdown("## How to use ClimateGPT")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown(
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### πͺ Getting started
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- In the chatbot section, simply type your climate-related question, and ClimateGPT will provide an answer with references to relevant IPCC reports.
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- ClimateGPT retrieves specific passages from the IPCC reports to help answer your question accurately.
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@@ -259,10 +266,11 @@ ClimateGPT harnesses modern OCR techniques to parse and preprocess IPCC reports.
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- Feel free to ask follow-up questions within the chatbot for a more in-depth understanding.
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- ClimateGPT integrates multiple sources (IPCC, IPBES, IEA, Limits to Growth, β¦ ) to cover various aspects of environmental science, such as climate change, biodiversity, energy, economy, and pollution. See all sources used below.
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"""
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-
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with gr.Column(scale=1):
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gr.Markdown(
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### β οΈ Limitations
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<div class="warning-box">
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<ul>
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@@ -272,45 +280,53 @@ ClimateGPT harnesses modern OCR techniques to parse and preprocess IPCC reports.
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</div>
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"""
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)
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-
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with gr.Row():
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with gr.Column(scale
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gr.Markdown("## π Feedback and feature requests")
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gr.Markdown(
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### Beta test
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- ClimateGPT welcomes community contributions. To participate, head over to the Community Tab and create a "New Discussion" to ask questions and share your insights.
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- Provide feedback through our feedback form, letting us know which insights you found accurate, useful, or not. Your input will help us improve the platform.
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- Only a few sources (see below) are integrated (all IPCC, IPBES, IEA recent reports), if you are a climate science researcher and net to sift through another report, please let us know.
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### Feedbacks
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"""
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feedback = gr.Textbox()
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feedback_save = gr.Button(value="submit feedback")
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# thanks = gr.Textbox()
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feedback_save.click(
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save_feedback,
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inputs=[feedback, user_id_state], # outputs=[thanks]
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)
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-
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gr.Markdown("## OpenAI API")
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gr.Markdown(
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openai_api_key_textbox = gr.Textbox(
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placeholder="Paste your OpenAI API key (sk-...) and hit Enter",
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show_label=False,
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lines=1,
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type="password",
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)
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openai_api_key_textbox.change(
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)
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openai_api_key_textbox.submit(
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set_openai_api_key, inputs=[openai_api_key_textbox]
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)
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gr.Markdown(
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## π Sources
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This tool has been developed by the R&D lab at **Ekimetrics** (Jean Lelong, Nina Achache, Gabriel Olympie, Nicolas Chesneau, Natalia De la Calzada, ThΓ©o Alves Da Costa)
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If you have any questions or feature requests, please feel free to reach us out at <b>[email protected]</b>.
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"""
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demo.queue(concurrency_count=16)
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demo.launch()
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"time": timestamp,
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}
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log_on_azure(file, logs, share_client)
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return "Feedback submitted, thank you!"
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def reset_textbox():
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with gr.Blocks(title="π ClimateGPT", css="style.css") as demo:
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user_id_state = gr.State([user_id])
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+
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# Gradio
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gr.Markdown("<h1><center>ClimateGPT π</center></h1>")
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gr.Markdown(
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"<h4><center>Ask climate-related questions to the IPCC reports</center></h4>"
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)
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown(
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"""
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<p><b>Climate change and environmental disruptions have become some of the most pressing challenges facing our planet today</b>. As global temperatures rise and ecosystems suffer, it is essential for individuals to understand the gravity of the situation in order to make informed decisions and advocate for appropriate policy changes.</p>
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<p>However, comprehending the vast and complex scientific information can be daunting, as the scientific consensus references, such as <b>the Intergovernmental Panel on Climate Change (IPCC) reports, span thousands of pages</b> and are often laden with technical jargon. To bridge this gap and make climate science more accessible, we introduce <b>ClimateGPT as a tool to distill expert-level knowledge into easily digestible insights about climate science.</b></p>
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<div class="tip-box">
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</div>
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"""
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)
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with gr.Column(scale=1):
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gr.Markdown("![](https://i.postimg.cc/fLvsvMzM/Untitled-design-5.png)")
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gr.Markdown(
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"*Source : IPCC AR6 - Synthesis Report of the IPCC 6th assessment report (AR6)*"
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)
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with gr.Row():
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with gr.Column(scale=2):
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placeholder="Ask here your climate-related question and press enter",
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).style(container=False)
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examples_questions = gr.Examples(
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[
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"What are the main causes of climate change?",
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"What are the impacts of climate change?",
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"Can climate change be reversed?",
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"What is the difference between climate change and global warming?",
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"What can individuals do to address climate change?",
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"What evidence do we have of climate change?",
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"What is the Paris Agreement and why is it important?",
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"Which industries have the highest GHG emissions?",
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"Is climate change caused by humans?",
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"What are the different greenhouse gases (GHG)?",
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"What is the warming power of methane?",
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"What is the jet stream?",
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"What is the breakdown of carbon sinks?",
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"How do the GHGs work ? Why does temperature increase ?",
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"What is the impact of global warming on ocean currents?",
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"How much warming is possible in 2050?",
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"What is the impact of climate change in Africa?",
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"What is the impact of rising sea levels?",
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"Will climate change accelerate diseases and epidemics like COVID?",
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"What are the economic impacts of climate change?",
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"What is the link between gender equality and climate change?",
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"How much is the cost of inaction ?",
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"What is the relationship between climate change and poverty?",
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"What is the relationship between climate change and biodiversity loss?",
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"What are the most effective strategies and technologies for reducing greenhouse gas (GHG) emissions?",
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"Is economic growth possible? What do you think about degrowth?",
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"Will technology save us?",
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"Is climate change a natural phenomenon ?",
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"Is climate change really happening or is it just a natural fluctuation in Earth's temperature?",
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"Is the scientific consensus on climate change really as strong as it is claimed to be?",
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"Is the impact of climate change really as severe as it is claimed to be?",
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"Is climate change a hoax created by the government or environmental organizations?",
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],
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[ask],
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)
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with gr.Column(scale=1, variant="panel"):
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gr.Markdown("### Sources")
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sources_textbox = gr.Textbox(
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gr.Markdown("## How to use ClimateGPT")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown(
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"""
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### πͺ Getting started
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- In the chatbot section, simply type your climate-related question, and ClimateGPT will provide an answer with references to relevant IPCC reports.
|
264 |
- ClimateGPT retrieves specific passages from the IPCC reports to help answer your question accurately.
|
|
|
266 |
- Feel free to ask follow-up questions within the chatbot for a more in-depth understanding.
|
267 |
- ClimateGPT integrates multiple sources (IPCC, IPBES, IEA, Limits to Growth, β¦ ) to cover various aspects of environmental science, such as climate change, biodiversity, energy, economy, and pollution. See all sources used below.
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"""
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)
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with gr.Column(scale=1):
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gr.Markdown(
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"""
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### β οΈ Limitations
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<div class="warning-box">
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<ul>
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</div>
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"""
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)
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("## π Feedback and feature requests")
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gr.Markdown(
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"""
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### Beta test
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- ClimateGPT welcomes community contributions. To participate, head over to the Community Tab and create a "New Discussion" to ask questions and share your insights.
|
291 |
- Provide feedback through our feedback form, letting us know which insights you found accurate, useful, or not. Your input will help us improve the platform.
|
292 |
- Only a few sources (see below) are integrated (all IPCC, IPBES, IEA recent reports), if you are a climate science researcher and net to sift through another report, please let us know.
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### Feedbacks
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+
"""
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)
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with gr.Row():
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with gr.Column():
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feedback = gr.Textbox(label="Write your feedback here")
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with gr.Column(scale=1):
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feedback_output = gr.Textbox(label="Submit status")
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with gr.Row():
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feedback_save = gr.Button(value="submit feedback")
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feedback_save.click(
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save_feedback,
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inputs=[feedback, user_id_state],
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outputs=feedback_output,
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)
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with gr.Row():
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gr.Markdown(
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"If you need us to ask another climate science report or ask any question, contact us at <b>[email protected]</b>"
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)
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("## OpenAI API")
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gr.Markdown(
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"To make climate science accessible to a wider audience, we have opened our own OpenAI API key with a monthly cap of $1000. If you already have an API key, please use it to help conserve bandwidth for others."
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)
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openai_api_key_textbox = gr.Textbox(
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placeholder="Paste your OpenAI API key (sk-...) and hit Enter",
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show_label=False,
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lines=1,
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type="password",
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)
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openai_api_key_textbox.change(set_openai_api_key, inputs=[openai_api_key_textbox])
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openai_api_key_textbox.submit(set_openai_api_key, inputs=[openai_api_key_textbox])
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gr.Markdown(
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"""
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## π Sources
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This tool has been developed by the R&D lab at **Ekimetrics** (Jean Lelong, Nina Achache, Gabriel Olympie, Nicolas Chesneau, Natalia De la Calzada, ThΓ©o Alves Da Costa)
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If you have any questions or feature requests, please feel free to reach us out at <b>[email protected]</b>.
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"""
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)
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demo.queue(concurrency_count=16)
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demo.launch()
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