Added the references

app.py

@@ -49,10 +49,10 @@ st.image(dificult_reading, caption='Reading sessions descriptions.')
 st.markdown("---")
 # section 2: how can transformers help?
 st.markdown("### How can Transformers Help?🪄 ")
-
-st.markdown("**Sentence Similarity**")
-#st.markdown("* FEVER, or Fact Extraction and VERification, was introduced in 2018 as the first dataset containing {fact, evdience, entailment_label} information. They extracted altering sentences from Wikipedia and had annotators report the relationship between the setences: entailment, contradition, not enough information.")
+st.markdown("* Semantic search have shown to improve the accuracy and of the seFEVER, or Fact Extraction and VERification, was introduced in 2018 as the first dataset containing {fact, evdience, entailment_label} information. They extracted altering sentences from Wikipedia and had annotators report the relationship between the setences: entailment, contradition, not enough information.")
 #st.markdown("* Since then, other researchers have expanded on this area in different domains")
+st.markdown("**Sentence Similarity**")
+
 #st.markdown("* Here, we use Climate FEVER (3), a similar dataset developed and annotated by ")
 
 #st.markdown("**Fact Verification / Fact-Checking**")
@@ -84,6 +84,24 @@ st.markdown("2. Retrieve evidence related to input claim \
 #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("---")
+# section 6: analysis
+st.markdown("## Critical Analysis")
+st.markdown("What can be done to improve the accuracy?")
+st.markdown("* Giving more data to be used to create embeddings, this would improve the model performance.")
+st.markdown("* A few pretrained Sentence Similarity models could be used and pick the one with higher accuracy and generalize well to new semantics!")
+st.markdown("* Creating an app that can be multilingual and output the search in users preferred language")
+
+st.markdown("---")
+# References + Resource Links
+st.markdown("## Resource Links")
+
+st.markdown("### References")
+#st.markdown("0. 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.sbert.net/examples/applications/semantic-search/README.html")
+st.markdown("2. https://www.sbert.net/docs/pretrained-models/msmarco-v3.html")
+st.markdown("3. Semantic search [colab](https://colab.research.google.com/drive/12cn5Oo0v3HfQQ8Tv6-ukgxXSmT3zl35A?usp=sharing)")
+#st.markdown("4. [ClimateBERT](https://climatebert.ai/), [paper](https://arxiv.org/abs/2110.12010)")
 
 ## EXAMPLE ###################################################################################################################
 
@@ -157,4 +175,5 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()
+