Add application file

.gitignore

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+
+__pycache__
+venv
+env
+.env
+.venv
+.pytest_cache
+.coverage
+.idea
+.vscode
+lightning_logs
+.ipynb_checkpoints
+.ckpt
+example.ckpt
+.neptune
+logs_for_plots
+logs_for_heuristics
+logs_for_graphs
+logs_for_freedom_maps
+logs_for_experiments
+heuristic_tables
+stats
+videos
+algs_RL/stasts
+.DS_Store
+saved_replays
+my_folder
+results
+test-trainer
+.gradio

app.py

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+from transformers import pipeline
+import gradio as gr
+asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
+classifier = pipeline("text-classification")
+
+def speech_to_text(speech):
+    text = asr(speech)["text"]
+    return text
+
+def text_to_sentiment(text):
+    return classifier(text)[0]["label"]
+
+demo = gr.Blocks()
+with demo:
+    audio_file = gr.Audio(type="filepath")
+    text = gr.Textbox()
+    label = gr.Label()
+    b1 = gr.Button("Recognize Speech")
+    b1.click(speech_to_text, inputs=audio_file, outputs=text)
+    text.change(text_to_sentiment, inputs=text, outputs=label)
+demo.launch()