Upload app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+import torch
+from score_fincat import score_fincat
+from sus_fls import get_sustainability,fls
+from Cuad_others import quad,summarize_text,fin_ner
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+     
+#CUAD STARTS    
+def load_questions():
+    questions = []
+    with open('questions.txt') as f:
+        questions = f.readlines()
+    return questions
+questions = load_questions()
+
+def mainFun(query,file):
+    answer,answer_p=quad(query,file.name)
+    return answer_p,summarize_text(answer),fin_ner(answer),score_fincat(answer),get_sustainability(answer),fls(answer)
+                
+                   
+iface = gr.Interface(fn=mainFun, inputs=[gr.Dropdown(choices=questions,label='SEARCH QUERY'),gr.inputs.File(label='TXT FILE')], title="CONBERT",description="CONTRACT REVIEW TOOL",article='Article', outputs=[gr.outputs.Textbox(label='Answer'),gr.outputs.Textbox(label='Summary'),gr.HighlightedText(label='NER'),gr.HighlightedText(label='CLAIM'),gr.HighlightedText(label='SUSTAINABILITY'),gr.HighlightedText(label='FLS')], allow_flagging="never")
+
+
+iface.launch()