update

app.py

@@ -4,6 +4,9 @@ import pandas as pd
 from PIL import Image
 import os
 
+# read in example
+df = pd.read_csv('example_claim_evidence_pairs.csv')
+
 # title
 st.title('Combatting Climate Change Misinformation with Transformers')
 
@@ -86,13 +89,10 @@ st.markdown("For this project, I fine-tune ClimateBERT (4) on the text entailmen
 
 st.markdown("## Try it out!")
 txt_class = pipeline('text-classification', model='amandakonet/climatebert-fact-checking', use_auth_token = os.environ["hf_token"])
-option = st.selectbox('Select a climate claim to test',
-	("It is increasingly clear that the planet was significantly warmer than today several times during the past 10,000 years"
-     "Temperature records have been adjusted in recent years to make the past appear cooler and the present warmer, although the Carbon Brief showed that NOAA has actually made the past warmer, evening out the difference.",
-     "Eleven percent of all global greenhouse gas emissions caused by humans are caused by deforestation — comparable to the emissions from all of the cars and trucks on the planet.",
-     "We don’t expect record years every year, but the ongoing long-term warming trend is clear."))
+option = st.selectbox('Select a climate claim to test', df['claim'].unique())
 
 st.write('You selected:', option)
+st.write(type(option))
 
 # section 6: analysis
 st.markdown("## Critical Analysis")
@@ -106,7 +106,7 @@ st.markdown("In the complete pipeline (from user input to final output), we coul
 st.markdown("## Resource Links")
 
 st.markdown("### References")
-st.markdonw("My [huggingface model card](https://huggingface.co/amandakonet/climatebert-fact-checking), [adopted Climate FEVER dataset card](https://huggingface.co/datasets/amandakonet/climate_fever_adopted), and [project code on github](https://github.com/amandakonet/climate-change-misinformation)")
+st.markdown("My [huggingface model card](https://huggingface.co/amandakonet/climatebert-fact-checking), [adopted Climate FEVER dataset card](https://huggingface.co/datasets/amandakonet/climate_fever_adopted), and [project code on github](https://github.com/amandakonet/climate-change-misinformation)")
 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/")
 st.markdown("3. Climate FEVER [paper](https://arxiv.org/abs/2012.00614), [huggingface repo](https://huggingface.co/datasets/climate_fever), and [github](https://github.com/huggingface/datasets/tree/master/datasets/climate_fever)")