added the app file

app.py

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+from transformers import pipeline
+import gradio as gr
+import tensorflow as tf
+
+#load the gpt model
+talker = pipeline("text-to-speech", model="facebook/fastspeech2-en-ljspeech")
+answerer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_and_tts(text):
+    # Summarize the input text
+    summary = answerer(text, max_length=50, min_length=25, do_sample=False)[0][text]
+    
+    # Convert the summary to speech
+    tts_output = talker(summary)
+    
+    return summary, tts_output['audio']
+
+# the Gradio Interface
+with gr.Blocks() as demo:
+    text_input = gr.Textbox(label="Enter text to summarize and convert to speech", lines=10)
+    summary_output = gr.Textbox(label="Summary")
+    audio_output = gr.Audio(label="Text-to-Speech Output", type="numpy")
+    submit_button = gr.Button("Submit")
+
+demo.launch()

bashrc

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+
+qs
+wq
+ew
+rqw
+

makefile

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+install:
+	pip install -r requirements.txt
+test:
+	python -m pytest
+
+debug:

requirements.txt

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+tensorflow
+gradio
+transformers