Add basic files

.gitignore

@@ -0,0 +1,43 @@
+MANIFEST
+build
+dist
+_build
+docs/man/*.gz
+docs/source/api/generated
+docs/source/config.rst
+docs/gh-pages
+notebook/i18n/*/LC_MESSAGES/*.mo
+notebook/i18n/*/LC_MESSAGES/nbjs.json
+notebook/static/components
+notebook/static/style/*.min.css*
+notebook/static/*/js/built/
+notebook/static/*/built/
+notebook/static/built/
+notebook/static/*/js/main.min.js*
+notebook/static/lab/*bundle.js
+node_modules
+*.py[co]
+__pycache__
+*.egg-info
+*~
+*.bak
+.ipynb_checkpoints
+.tox
+.DS_Store
+\#*#
+.#*
+.coverage
+.pytest_cache
+src
+
+*.swp
+*.map
+.idea/
+Read the Docs
+config.rst
+
+/.project
+/.pydevproject
+
+package-lock.json
+geckodriver.log

LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

README.md

@@ -1,12 +1,29 @@
----
-title: Text Summary
-emoji: 📚
-colorFrom: pink
-colorTo: pink
-sdk: streamlit
-sdk_version: 1.21.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Generate summaries from texts using Streamlit & HuggingFace Pipeline
+
+**If you like my work, you can support me by buying me a coffee by clicking the link below**
+
+<a href="https://www.buymeacoffee.com/bhattbhavesh91" target="_blank"><img src="https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png" alt="Buy Me A Coffee" style="height: 41px !important;width: 174px !important;box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;-webkit-box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;" ></a>
+
+## To view the video
+
+<!--- [![Click Here](https://img.shields.io/youtube/views/LK9dVN9yMYY?color=blue&label=Watch%20on%20YouTube&logo=youtube&logoColor=red&style=for-the-badge)](https://youtu.be/LK9dVN9yMYY)
+---> 
+<table>
+   <tr>
+      <td><a href="http://www.youtube.com/watch?v=LK9dVN9yMYY" target="_blank"><img height="50" src = "https://img.shields.io/youtube/views/LK9dVN9yMYY?color=blue&label=Watch%20on%20YouTube&logo=youtube&logoColor=red&style=for-the-badge"></a></td>
+   </tr>
+</table>
+
+Or click on the image below
+
+[![Text Summarization](http://img.youtube.com/vi/LK9dVN9yMYY/0.jpg)](http://www.youtube.com/watch?v=LK9dVN9yMYY)
+
+### Want to know more about me?
+## Follow Me
+<a href="https://twitter.com/_bhaveshbhatt" target="_blank"><img class="ai-subscribed-social-icon" src="https://bhattbhavesh91.github.io/assets/images/tw.png" width="30"></a>
+<a href="https://www.youtube.com/bhaveshbhatt8791/" target="_blank"><img class="ai-subscribed-social-icon" src="https://bhattbhavesh91.github.io/assets/images/ytb.png" width="30"></a>
+<a href="https://www.youtube.com/PythonTricks/" target="_blank"><img class="ai-subscribed-social-icon" src="https://bhattbhavesh91.github.io/assets/images/python_logo.png" width="30"></a>
+<a href="https://github.com/bhattbhavesh91" target="_blank"><img class="ai-subscribed-social-icon" src="https://bhattbhavesh91.github.io/assets/images/gthb.png" width="30"></a>
+<a href="https://www.linkedin.com/in/bhattbhavesh91/" target="_blank"><img class="ai-subscribed-social-icon" src="https://bhattbhavesh91.github.io/assets/images/lnkdn.png" width="30"></a>
+
+<h3 align="center">Show your support by starring the repository 🙂</h3>

app.py

@@ -0,0 +1,51 @@
+import streamlit as st
+from transformers import pipeline
+
+@st.cache(allow_output_mutation=True)
+def load_summarizer():
+    model = pipeline("summarization", device=0)
+    return model
+
+
+def generate_chunks(inp_str):
+    max_chunk = 500
+    inp_str = inp_str.replace('.', '.<eos>')
+    inp_str = inp_str.replace('?', '?<eos>')
+    inp_str = inp_str.replace('!', '!<eos>')
+    
+    sentences = inp_str.split('<eos>')
+    current_chunk = 0 
+    chunks = []
+    for sentence in sentences:
+        if len(chunks) == current_chunk + 1: 
+            if len(chunks[current_chunk]) + len(sentence.split(' ')) <= max_chunk:
+                chunks[current_chunk].extend(sentence.split(' '))
+            else:
+                current_chunk += 1
+                chunks.append(sentence.split(' '))
+        else:
+            chunks.append(sentence.split(' '))
+
+    for chunk_id in range(len(chunks)):
+        chunks[chunk_id] = ' '.join(chunks[chunk_id])
+    return chunks
+
+
+summarizer = load_summarizer()
+st.title("Summarize Text")
+sentence = st.text_area('Please paste your article :', height=30)
+button = st.button("Summarize")
+
+max = st.sidebar.slider('Select max', 50, 500, step=10, value=150)
+min = st.sidebar.slider('Select min', 10, 450, step=10, value=50)
+do_sample = st.sidebar.checkbox("Do sample", value=False)
+with st.spinner("Generating Summary.."):
+    if button and sentence:
+        chunks = generate_chunks(sentence)
+        res = summarizer(chunks,
+                         max_length=max, 
+                         min_length=min, 
+                         do_sample=do_sample)
+        text = ' '.join([summ['summary_text'] for summ in res])
+        # st.write(result[0]['summary_text'])
+        st.write(text)

data.txt

@@ -0,0 +1 @@
+One of the big AI research conferences has been NuerIPS each December, which has been doubling attendance every year. But Nvidia’s GPU Technology Conference (GTC) is also another conference that drawn big crowds. Because the conference has been turned virtual, as have all conferences during the pandemic, it’s now easier to gather AI researcher from all over the world in one event. And Nvidia has gathered the top names in AI for this year’s GTC. Those top names in AI research include Geoffrey Hinton an Emeritus Professor from the University of Toronto, VP and Engineering Fellow at Google, and Chief Scientific Adviser to the Vector Institute. He is known for his pioneering work on Artificial Neural Networks (ANNs). His research on the backpropagation algorithm brought about drastic improvements in the performance of deep learning models. Hinton won the 2018 Turing Award for his groundbreaking work around deep neural networks, which he shares with Yann LeCun and Yoshua Bengio – both of which are also speakers at GTC 2021. Yann LeCun is VP and Chief AI Scientist at Facebook and Silver Professor from New York University and considered the founding father of Convolutional Neural Networks (CNNs). He has won the 2014 IEEE Neural Network Pioneer Award and the 2015 PAMI Distinguished Researcher Award, as well as the aforementioned Turing Award. Yoshua Bengio is a Full Professor, and the Founder and Scientific Director at the University of Montreal and the Mila - Quebec Artificial Intelligence Institute. He received the prestigious award of Canada Research Chair in Statistical Learning Algorithms. Yoshua is known for his work on artificial neural networks and deep learning in the 1980s and 1990s. He co-created the prestigious International Conference on Learning Representations (ICLR) conference with Yann LeCun. These are three of the top AI researchers, but there are 23 other world-class researchers that will also be presenting at GTC and potentially thousands more in attendance. Some of the leading companies presenting at GTC include: Adobe, Arm, Audi, Autodesk, Epic Games, Facebook, Google, IBM, Industrial Light and Magic, Morgan Stanley, Pixar, Red Hat, Siemens, St. Jude Children’s Hospital, Verizon, VMWare, Walmart. Covering a very broad range of AI applications and implementations. Nvidia was the first to invest heavily in High-Performance Computing (HPC) on GPUs, originally called GPGPU. Nvidia led using CUDA platform to facilitate HPC on GPUs. That lead to researchers using GPU to accelerate digital neural networks, which lead to breakthrough performance and modern AI. This pioneering work led to Nvidia’s GPUs becoming the main research and development platform for deep learning neural nets. With Nvidia GPUs in data centers, advanced driver assistance systems (ADAS), drones, robots, workstations, and PCs, Nvidia has the most pervasive and scalable AI platform. Since then, other GPU and accelerator and software vendors have been chasing Nvidia. Being the first and widest platform means most researchers have experience using Nvidia GPUs, making GTC a conference with broad appeal in the AI, Automotive, HPC, and gaming industries. It also has strong appeal for a wide range of researchers in academia, atmospheric, biomedical, and geological to name a few. Nvidia’s GTC really is one of the conferences I look forward to every year where I learn about new uses for AI technology. The conference will begin with a keynote by Nvidia’s CEO Jensen Huang to reveal the latest Nvidia technology and designs on April 12. And did I mention it’s free? There are also instructor-led, hands-on training and workshops as part of the conference for $249 per person, but the main conference and talks you can attend for free.