Update app.py

app.py

@@ -11,12 +11,12 @@ def compressit(original_text, compressor1, ratio, maxlength):
     if compressor1=="Selective Context":
         compressor = PromptCompressor(type='SCCompressor', lang='en', model='gpt2', device='cpu')
     elif compressor1=="LLMLingua":
-        return "Sorry, currently we cannot provide services for LLMLingua due to the Huggingface Token issue. Please try other compressors."
+        return "Sorry, currently we cannot provide services for LLMLingua due to the Huggingface Token issue. Please try other compressors.", 0
     elif compressor1=="LongLLMLingua":
-        return "Sorry, currently we cannot provide services for LongLLMLingua due to the Huggingface Token issue. Please try other compressors."
+        return "Sorry, currently we cannot provide services for LongLLMLingua due to the Huggingface Token issue. Please try other compressors.", 0
     elif compressor1=="SCRL":
-        # return "Sorry, but currently we found an issue in presenting SCRL on Huggingface, you can try this compressor from our GitHub repository."
-        compressor = PromptCompressor(type='SCRLCompressor', model_dir="models/newsroom-L11/", device="cpu", tokenizer_dir="sentence-transformers/paraphrase-distilroberta-base-v2")
+        return "Sorry, but currently we found an issue in presenting SCRL on Huggingface, you can try this compressor from our GitHub repository.", 0
+        # compressor = PromptCompressor(type='SCRLCompressor', model_dir="models/newsroom-L11/", device="cpu", tokenizer_dir="sentence-transformers/paraphrase-distilroberta-base-v2")
     elif compressor1=="KiS":
         compressor = PromptCompressor(type='KiSCompressor', device="cpu", model_dir="philippelaban/keep_it_simple")
     else: