init1

app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Sentiment analysis interface
+sa_examples = [
+    'the food delivered was stale',
+    'i like your shirt',
+    'this is not the way to work',
+]
+
+sa_app = gr.Interface.load(
+    'huggingface/distilbert-base-uncased-finetuned-sst-2-english',
+    title='Sentiment Analysis',
+    examples=sa_examples,
+    description='Type your sentence here and Submit',
+)
+
+# Text Generation
+tg_examples = [
+    'I want to feel',
+    'It is possible to',
+    'When the world seems'
+]
+
+tg_app = gr.Interface.load(
+    'huggingface/distilgpt2',
+    title='Text Generation',
+    examples=tg_examples,
+    description="Write an incomplete sentence and submit",
+)
+
+# Fill Mask
+fm_examples = [
+    'Do you know how much I <mask> you?',
+    'When we went to the forest, it <mask> raining',
+]
+
+fm_app = gr.Interface.load(
+    'huggingface/distilroberta-base',
+    title='Fill In The Blank',
+    examples=fm_examples,
+    description="Write a sentence with a missing word using \<mask\>",
+)
+
+# Named Entity Recognition
+ner_examples = [
+    'My name is Doug and I live in Delhi',
+    'Vishal works at Google',
+]
+
+ner_app = gr.Interface.load(
+    'huggingface/dbmdz/bert-large-cased-finetuned-conll03-english',
+    title='Named Entity Recognition',
+    examples=ner_examples,
+    description="Write a sentence with a name, place, organization, etc and I'll try to reveal them",
+)
+
+# Summarization
+sum_examples = [
+    '''Television is one of the many wonders of modern science and technology. It was invented in England by the Scottish scientist J.N. Baird 
+in 1928 and the British Broadcasting Corporation was the first to broadcast television images in 1929. Previously the radio helped us 
+hear things from far and near. spread information and knowledge from one corner of the globe to another. But all this was done through 
+sound only. But television combined visual images with sound. Today we can watch games, shows, and song and dance programs from all 
+corners of the world while sitting at our own homes. TV can be used for educating the masses, for bringing to us the latest pieces of 
+information audio-visually and can provide us all kinds of entertainment even in color. But as in all things, too much televiewing may 
+prove harmful. In many cases, the habit of watching TV has an adverse effect on the study habits of the young. When we read books, we 
+have to use our intelligence and imagination. But in most cases, TV watching is a passive thing. It may dull our imagination and 
+intelligence.''',
+]
+
+sum_app = gr.Interface.load(
+    'huggingface/sshleifer/distilbart-cnn-12-6',
+    title='Text Summarization',
+    examples=sum_examples,
+    description="Copy and dump a long paragraph here for summarization, or click the example below",
+)
+
+# Translation to Hindi
+trans_examples = [
+    'I want to go home',
+    "i will go to the station tomorrow",
+]
+
+trans_app = gr.Interface.load(
+    'huggingface/Helsinki-NLP/opus-mt-en-hi',
+    title='Translate From English to Hindi',
+    examples=trans_examples,
+    description="Write a sentence to translate from English to Hindi",
+)
+
+# Text to Speech
+tts_examples = [
+    "How do you do?",
+    'i thought we were supposed to go to the park'
+]
+
+tts_app = gr.Interface.load(
+    "huggingface/facebook/fastspeech2-en-ljspeech",
+    title='Text to Speech',
+    examples=tts_examples,
+    description="Give me something to say!",
+)
+
+# Speech to Text
+stt_app = gr.Interface.load(
+    "huggingface/facebook/wav2vec2-base-960h",
+    title='Speech to Text',
+    inputs="mic",
+    description="Let me try to guess what you're saying! Stop the recording button before submitting.",
+)
+
+with gr.Blocks() as demo:
+  gr.Markdown("# App For Various NLP Tasks (use landscape on phone)")
+  gr.TabbedInterface([sa_app, tg_app, fm_app, ner_app, sum_app, trans_app, tts_app, stt_app], 
+                          ["Sentiment Analysis", "Text Generation", "Fill Blank", "Named Entity", "Summary", 
+                           "Translation", "Text to Speech", "Speech to Text"]
+                          )
+
+if __name__ == "__main__":
+    demo.launch()