addded

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml

.idea/Uz-Text-Summarization.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/Project_Default.xml

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+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredPackages">
+        <value>
+          <list size="3">
+            <item index="0" class="java.lang.String" itemvalue="onnxruntime-gpu" />
+            <item index="1" class="java.lang.String" itemvalue="opencv-python" />
+            <item index="2" class="java.lang.String" itemvalue="imread-from-url" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8 (rasa2x)" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/Uz-Text-Summarization.iml" filepath="$PROJECT_DIR$/.idea/Uz-Text-Summarization.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

app.py

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+import gradio as gr
+import torch
+from transformers import BertTokenizerFast, EncoderDecoderModel
+
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+ckpt = 'csebuetnlp/mT5_multilingual_XLSum'
+tokenizer = BertTokenizerFast.from_pretrained(ckpt)
+model = EncoderDecoderModel.from_pretrained(ckpt).to(device)
+
+def generate_summary(text):
+
+   inputs = tokenizer([text], padding="max_length", truncation=True, max_length=512, return_tensors="pt")
+   input_ids = inputs.input_ids.to(device)
+   attention_mask = inputs.attention_mask.to(device)
+   output = model.generate(input_ids, attention_mask=attention_mask)
+   return tokenizer.decode(output[0], skip_special_tokens=True)
+
+demo = gr.Interface(fn=generate_summary,
+                    inputs=gr.Textbox(lines=10, placeholder="Insert the text here"),
+                    outputs=gr.Textbox(lines=4)
+                    )
+
+demo.launch()

requirements.txt

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+torch
+transformers