Spaces:
Sleeping
Sleeping
Added critic
Browse files
app.py
CHANGED
@@ -128,6 +128,61 @@ def create_feedback(review, pdf_text, agent_prompt):
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return feedback
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agent_prompt = """
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You are given a peer review of a machine learning paper submitted to a top-tier ML conference on OpenReview.
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First, you will read the text of the review and then the paper about which it was written.
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@@ -220,6 +275,20 @@ and send a list of comments and feedbacks. If you do not identify issues for a c
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If you cannot identify any issues, respond with "Thanks for your hard work!"
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"""
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# Set page to wide mode
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st.set_page_config(layout="wide")
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@@ -262,31 +331,31 @@ if user_input:
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# Run your pipeline to generate the dataframe based on user input
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feedback = create_feedback(review, pdf_text, agent_prompt)
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# Create three columns
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col1, col2, col3 = st.columns(3)
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pdf_url = f"https://openreview.net/pdf?id={paper_id}"
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st.markdown(f"[Click here to view PDF]({pdf_url})")
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else:
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# Create two columns
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col1, col2 = st.columns(2)
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# Column 1: Display review fields
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with col1:
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st.subheader("Review")
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st.write(json.dumps(review))
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# Column 2: Display feedback
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with col2:
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st.subheader('Feedback')
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st.write(feedback)
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else:
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st.title('Please enter OpenReview ID or upload PDF with review to generate feedback')
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return feedback
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def critic(review, feedback, pdf_text, critic_prompt):
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messages = [{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": critic_prompt
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},
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{
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"type": "text",
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"text": "Here is the ML conference review"
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},
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{
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"type": "text",
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"text": json.dumps(review) #json.dumps(review)
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},
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{
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"type": "text",
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"text": "Here is the feedback about the review"
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},
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{
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"type": "text",
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"text": feedback
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},
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{
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"type": "text",
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"text": "Finally, read the paper this review was written about"
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},
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{
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"type": "text",
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"text": pdf_text
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}
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]}]
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {my_api_key}"
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}
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payload = {
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"model": "gpt-4o",
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"messages": messages,
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"max_tokens": 1000
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}
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try:
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response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
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revised_feedback = response.json()["choices"][0]["message"]["content"]
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except Exception as e:
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print(f"An unexpected error occurred: {e}")
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revised_feedback = "an error occured"
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return revised_feedback
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agent_prompt = """
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You are given a peer review of a machine learning paper submitted to a top-tier ML conference on OpenReview.
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First, you will read the text of the review and then the paper about which it was written.
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If you cannot identify any issues, respond with "Thanks for your hard work!"
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"""
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critic_prompt = """
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You are given feedback about a peer review of a machine learning paper submitted to a top-tier ML conference on OpenReview. The aim of the feedback is to make the review high-quality.
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First, you will read the original review, then you will read the feedback, and then you will read the paper the review was written about.
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You need to edit the feedback for correctness, removing anything that is incorrect and revising anything that needs to be fixed.
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You should also edit the feedback for clarity, removing anything that may frustrate or confuse a reviewer.
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Your instructions: do not change the format of the feedback, only edit for content clarity and correctness.
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Your feedback will be sent directly to reviewers. Follow the below format when sending your review:
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- Comment: {{the comment of interest}}
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- Feedback: {{write your short feedback}}
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and send a list of comments and feedbacks. If you do not identify issues for a comment, do not add it to the list or send feedback. DO NOT mention that there is a checklist or guidelines, and do NOT mention that this is the edited feedback.
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If you cannot identify any issues, respond with "Thanks for your hard work!"
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"""
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# Set page to wide mode
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st.set_page_config(layout="wide")
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# Run your pipeline to generate the dataframe based on user input
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feedback = create_feedback(review, pdf_text, agent_prompt)
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revised_feedback = critic(review, feedback, pdf_text, critic_prompt)
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st.title(f'Review feedback')
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# Create three columns
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col1, col2, col3 = st.columns(3)
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# Column 1: Display review fields
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with col1:
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st.subheader("Review")
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st.write(json.dumps(review))
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if not upload_file:
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pdf_url = f"https://openreview.net/pdf?id={paper_id}"
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st.markdown(f"[Click here to view PDF]({pdf_url})")
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# Column 2: Display feedback
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with col2:
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st.subheader('Feedback')
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st.write(feedback)
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# Column 3: Display revised feedback (from critic)
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with col3:
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st.subheader('Revised Feedback')
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st.write(revised_feedback)
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else:
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st.title('Please enter OpenReview ID or upload PDF with review to generate feedback')
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