Create app.py

app.py

@@ -0,0 +1,56 @@
+import gradio as gr
+from transformers import pipeline
+
+sentiment_model = pipeline("sentiment-analysis")
+chatbot_model = pipeline("text-generation", model="microsoft/DialoGPT-medium")
+summarization_model = pipeline("summarization")
+text_to_speech_model = pipeline("text-to-speech")
+
+def get_sentiment(input_text):
+    analysis = sentiment_model(input_text)
+    sent = analysis[0]['label']
+    score = analysis[0]['score']
+    return sent, score
+
+def chatbot_response(input_text):
+    response = chatbot_model(input_text, max_length=100, do_sample=True)[0]['generated_text']
+    return response
+
+def summarize_text(input_text):
+    summary = summarization_model(input_text, max_length=100, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+def text_to_speech(input_text):
+    audio = text_to_speech_model(input_text)
+    return audio
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Multi-Function AI Language Application")
+    
+    with gr.Tab("Sentiment Analysis"):
+        text_input = gr.Textbox(label="Enter text for sentiment analysis:")
+        sentiment_output = gr.Textbox(label="Sentiment")
+        score_output = gr.Number(label="Confidence Score")
+        sentiment_button = gr.Button("Analyze")
+        sentiment_button.click(get_sentiment, inputs=text_input, outputs=[sentiment_output, score_output])
+    
+    with gr.Tab("Chatbot"):
+        chat_input = gr.Textbox(label="Enter your message:")
+        chat_output = gr.Textbox(label="Chatbot Response")
+        chat_button = gr.Button("Send")
+        chat_button.click(chatbot_response, inputs=chat_input, outputs=chat_output)
+    
+    with gr.Tab("Summarization"):
+        summary_input = gr.Textbox(label="Enter text to summarize:", lines=5)
+        summary_output = gr.Textbox(label="Summary")
+        summary_button = gr.Button("Summarize")
+        summary_button.click(summarize_text, inputs=summary_input, outputs=summary_output)
+    
+    with gr.Tab("Text-to-Speech"):
+        tts_input = gr.Textbox(label="Enter text to convert to speech:")
+        tts_output = gr.Audio(label="Generated Speech")
+        tts_button = gr.Button("Convert")
+        tts_button.click(text_to_speech, inputs=tts_input, outputs=tts_output)
+
+# Launch the app
+demo.launch()