add shorter examples

app.py

@@ -25,13 +25,12 @@ interface = gr.Interface(
         outputs=gr.JSON(),
         description=description,
         examples = [
-            ["URL", None, "https://www.bms.com/assets/bms/us/en-us/pdf/bmy-2022-esg-report.pdf"],
-            ["URL", None, "https://www.7andi.com/library/dbps_data/_template_/_res/en/sustainability/sustainabilityreport/2022/pdf/2022_all_01.pdf"],
-            ["URL", None, "https://www.infineon.com/dgdl/Sustainability_at+Infineon_2023.pdf?fileId=8ac78c8b8b657de2018c009d03120100"],
+            ["URL", None, "https://www.deutsche-boerse.com/resource/blob/3373890/1cdeb942b1a02ce3495e25240dfdfe81/data/DBG-Detailed-GRI-index-Deutsche-Bo%CC%88rse-Group-AR-2022.pdf"],
+            ["URL", None, "https://mpmaterials.com/downloads/MP_MATERIALS_2021_ESG_REPORT_A.pdf"],
         ],
         article=article,
         analytics_enabled=False,
-        cache_examples=False,
+        cache_examples=True,
     )
 interface.queue().launch()
 

article.md

@@ -1 +1 @@
-Technical overview: The system retrieves the relevant pages of the uploaded report using simple search. These pages are input into a finetuned [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) language model, which outputs a JSON object containing the emission information. The system achieves an emission extraction accuracy of 65% and a source citation accuracy of 69% on the [corporate-emission-reports](https://huggingface.co/datasets/nopperl/corporate-emission-reports) dataset. Note that the model is quantized due to resource limitations.
+Technical overview: The system retrieves the relevant pages of the uploaded report using simple search. These pages are input into a finetuned [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) language model, which outputs a JSON object containing the emission information. The system achieves an emission extraction accuracy of 65% and a source citation accuracy of 77% on the [corporate-emission-reports](https://huggingface.co/datasets/nopperl/corporate-emission-reports) dataset. Note that the model is quantized due to resource limitations.

description.md

@@ -1,3 +1,3 @@
-Upload (or link to an URL of) a sustainability report PDF and get the most recent scope 1, 2 and 3 greenhouse gas emissions reported in the document. Since this space does not use a GPU, the process will take quite a while. The system was developed for English documents.
+Upload (or link to an URL of) a sustainability report PDF and get the most recent scope 1, 2 and 3 greenhouse gas emissions reported in the document. Since this space does not use a GPU, the process will take quite a while (at least an hour, drastically longer for more complex reports). The system was developed for English documents.
 
 Notes about the output: the emission values are in metric tons of CO2eq. The `sources` field is a list of pages containing the emission values. The page numbers are 0-based, e.g. the number 12 will correspond to page number 13 in your PDF viewer.