[ADD] Application, requirements and an updated readmen

README.md

@@ -8,6 +8,9 @@ sdk_version: 4.0.2
 app_file: app.py
 pinned: false
 license: apache-2.0
+models : [EasyTerms/etsummerizer_v2]
+datasets : [EasyTerms/Manuel_dataset]
+tags : [Summerization]
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,40 @@
+import gradio as gr
+from transformers import pipeline,AutoTokenizer, AutoModelForSeq2SeqLM
+
+def easyterms(text:str)->str:
+        print("In summerizing function of easyterms")
+        tokenizer = AutoTokenizer.from_pretrained("EasyTerms/etsummerizer_v2")
+        model = AutoModelForSeq2SeqLM.from_pretrained("EasyTerms/etsummerizer_v2")
+
+        inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)
+        summary_ids = model.generate(inputs['input_ids'], attention_mask=inputs['attention_mask'], max_length=128, num_beams=4)
+        summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+        return summary
+
+def summerize(Option:str, Text:str)-> str:
+    print(Option)
+    if Option == "text":
+        return easyterms(Text)
+    else:
+        return "Input is a URL string"
+intro = gr.Markdown(
+        '''
+        <center><h1>A Legal document summerizer.</h1></span>  
+        
+        If you want to better understand legal text or document, this platform is for you. By choosing the url option you submit a url whose content will in turn be summerized for you.
+        Otherwhise you can choose the text option and submit your own text to be summerized.
+
+        '''
+    )
+
+interface = gr.Interface(
+    fn=summerize,
+    inputs=[gr.Radio(["url", "text"]),"text"],
+    outputs=["text"]
+)
+
+interface.launch()
+
+
+
+    

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+requests
+transformers[torch]