Update app.py

app.py

@@ -13,11 +13,9 @@ def main():
     of the [FLAN-T5-XXL](https://huggingface.co/google/flan-t5-xxl) model and the [GPT-3.5-turbo](https://platform.openai.com/docs/models/gpt-3-5) model.\
     \n\n For a more thorough discussion of question generation see this [report](https://wandb.ai/dmeltzer/Question_Generation/reports/Exploratory-Data-Analysis-for-r-AskScience--Vmlldzo0MjQwODg1?accessToken=fndbu2ar26mlbzqdphvb819847qqth2bxyi4hqhugbnv97607mj01qc7ed35v6w8) for EDA on the r/AskScience dataset and this \
     [report](https://api.wandb.ai/links/dmeltzer/7an677es) for details on our training procedure.\
-    \n\n \
-    The two fine-tuned models (BART-Large and FLAN-T5-Base) are hosted on AWS using a combination of AWS Sagemaker, Lambda, and API gateway. \
-    \ GPT-3.5 is called using the OpenAI API and the FLAN-T5-XXL model is hosted by HuggingFace and is called with their Inference API.\
-    \n \n \
-    **Disclaimer**: You may recieve an error message when calling the FLAN-T5-XXL model since the Inference API takes around 20 seconds to load the model.\
+    \n\nThe two fine-tuned models (BART-Large and FLAN-T5-Base) are hosted on AWS using a combination of AWS Sagemaker, Lambda, and API gateway.\
+    GPT-3.5 is called using the OpenAI API and the FLAN-T5-XXL model is hosted by HuggingFace and is called with their Inference API.\
+    \n \n **Disclaimer**: You may recieve an error message when calling the FLAN-T5-XXL model since the Inference API takes around 20 seconds to load the model.\
     ")
     
     AWS_checkpoints = {}
@@ -49,7 +47,7 @@ def main():
     
     if user_input:
 
-        for name, url in AWS_checkpoints.values():
+        for name, url in AWS_checkpoints.items():
             headers={'x-api-key': key}
 
             input_data = json.dumps({'inputs':user_input})