the gist

app.py

@@ -7,6 +7,14 @@ import os
 # title
 st.title('Combatting Climate Change Misinformation with Transformers')
 
+st.markdown("## The Gist")
+st.markdown("**The Problem**: Climate change misinformation spreads quickly and is difficult to combat. However, its important to do so, because climate change misinformation has direct impacts on public opinion and public policy surrounding climate change.")
+st.markdown("**The Solution**: Develop a pipeline in which users can input climate change claims... and the pipeline returns whether the claim is refuted or supported by current climate science, along with the corresponding evidence.")
+st.markdown("**The Approach**")
+st.markdown("* There are many steps to this pipeline. Here, I focus on fine-tuning a transformer model, ClimateBERT, using the textual entailment task.")
+st.markdown("* Given a {claim, evidence} pair, determine whether the climate claim is supported or refuted (or neither) by the evidence")
+
+
 # section 1: the context, problem; how to address
 st.markdown("### The Problem 🤔")
 st.markdown("Misinformation about climate change spreads quickly and has direct impacts on public opinion and public policy surrounding the climate. Further, misinformation is difficult to combat, and people are able to \"verify\" false climate claims on biased sites. Ideally, people would be able to easily verify climate claims. This is where transformers come in.")
@@ -68,18 +76,25 @@ st.markdown("* evidence *refutes* (contradicts) claim")
 st.markdown("* evidence *does not provide enough info to support or refute* (neutral) claim")
 st.markdown("For this project, I fine-tuned 3 different models on the text entailment task.")
 
-st.markdown("**Model 1: [DistilRoBERTa](https://huggingface.co/distilroberta-base)")
+st.markdown("**Model 1**: [DistilRoBERTa](https://huggingface.co/distilroberta-base)")
 
-st.markdown("**Model 2: [ClimateBERT](https://huggingface.co/climatebert/distilroberta-base-climate-f)")
+st.markdown("**Model 2**: [ClimateBERT](https://huggingface.co/climatebert/distilroberta-base-climate-f)")
 
-st.markdown("**Model 3: [RoBERTa Fine-tuned on NLI Task](https://huggingface.co/ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli)")
+st.markdown("**Model 3**: [RoBERTa Fine-tuned on NLI Task](https://huggingface.co/ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli)")
 
 
 # section 6: analysis
 
 # section 7: conclusion
 
-# references
-
-st.markdown("## References")
-st.markdown("1. https://www.carbonbrief.org/guest-post-how-climate-change-misinformation-spreads-online")
+# References + Resource Links
+st.markdown("### Resource Links")
+# climatefever paper
+# feverpaper
+# fact checking covid paper
+# models
+# nli fine-tuning notebook
+
+st.markdown("### References")
+st.markdown("1. https://www.carbonbrief.org/guest-post-how-climate-change-misinformation-spreads-online")
+st.markdown("2. https://www.brookings.edu/research/how-to-combat-fake-news-and-disinformation/")