update

app.py

@@ -13,7 +13,7 @@ st.markdown("**Problem**🤔: Climate change misinformation spreads quickly and
 st.markdown("**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("**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("* The dataset used is Climate FEVER, a natural language inference dataset with 1,579 {claim, [evidence], [label]} tuples")
+st.markdown("* The dataset used is Climate FEVER, a natural language inference dataset with 1,535 {claim, [evidence], [label]} tuples")
 st.markdown("* Given a {claim, evidence} pair, determine whether the climate claim is supported or refuted (or neither) by the evidence")
 
 st.markdown("---")
@@ -85,12 +85,14 @@ 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-tune ClimateBERT (4) on the text entailment task")
 
-st.markdown("### Try it out!")
+st.markdown("## Try it out!")
+txt_class = pipeline('text-classification', model='amandakonet/climatebert-fact-checking', use_auth_token = os.environ["hf_token"])
+user_text = st.text_input('Add the text for users to upload!')
 
 
 
 # section 6: analysis
-st.markdown("### Critical Analysis")
+st.markdown("## Critical Analysis")
 st.markdown("What else could we do?")
 st.markdown("* Given more data, the performance of the model can be greatly improved. This is just a proof of concept")
 st.markdown("* This is only one small part of the puzzle!")
@@ -98,7 +100,7 @@ st.markdown("In the complete pipeline (from user input to final output), we coul
 
 
 # References + Resource Links
-st.markdown("### Resource Links")
+st.markdown("## Resource Links")
 # climatefever paper
 # feverpaper
 # fact checking covid paper
@@ -106,7 +108,8 @@ st.markdown("### Resource Links")
 # nli fine-tuning notebook
 
 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("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)")
-st.markdown("4. [ClimateBERT](https://climatebert.ai/), [paper](https://arxiv.org/abs/2110.12010)")
+st.markdown("4. [ClimateBERT](https://climatebert.ai/), [paper](https://arxiv.org/abs/2110.12010)")