Mohammed J commited on
Create tabsApp.py
Browse files- tabsApp.py +58 -0
tabsApp.py
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# Sentiment Analysis Model
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sentiment_analyzer = pipeline("sentiment-analysis")
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# Chatbot Model
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chatbot = pipeline("text-generation", model="microsoft/DialoGPT-medium")
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# Summarization Model
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summarizer = pipeline("summarization")
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# Sentiment Analysis Function
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def analyze_sentiment(text):
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result = sentiment_analyzer(text)[0]
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sentiment = result['label']
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confidence = round(result['score'], 4)
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return sentiment, confidence
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# Chatbot Function
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def generate_response(user_input, history=[]):
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history.append(user_input)
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input_text = " ".join(history)
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response = chatbot(input_text, max_length=1000, pad_token_id=50256)
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bot_reply = response[0]['generated_text'][len(input_text):]
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history.append(bot_reply)
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return history, history
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# Summarization Function
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def summarize_text(text):
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summary = summarizer(text, max_length=150, min_length=40, do_sample=False)
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return summary[0]['summary_text']
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with gr.Blocks() as demo:
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gr.Markdown("# Multi-Function Language Application")
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with gr.Tabs():
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with gr.TabItem("Sentiment Analysis"):
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gr.Markdown("## Enter text for sentiment analysis:")
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sentiment_input = gr.Textbox(placeholder="Type your text here...")
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sentiment_button = gr.Button("Analyze")
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sentiment_output = gr.Textbox(label="Sentiment")
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confidence_output = gr.Textbox(label="Confidence Score")
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sentiment_button.click(analyze_sentiment, inputs=sentiment_input, outputs=[sentiment_output, confidence_output])
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with gr.TabItem("Chatbot"):
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gr.Markdown("## Chat with the bot:")
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chatbot_input = gr.Textbox(placeholder="Type your message here...")
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chatbot_button = gr.Button("Send")
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chatbot_output = gr.Chatbot()
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chatbot_state = gr.State([])
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chatbot_button.click(generate_response, inputs=[chatbot_input, chatbot_state], outputs=[chatbot_output, chatbot_state])
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with gr.TabItem("Summarization"):
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gr.Markdown("## Enter text to summarize:")
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summary_input = gr.Textbox(placeholder="Paste your text here...")
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summary_button = gr.Button("Summarize")
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summary_output = gr.Textbox(label="Summary")
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summary_button.click(summarize_text, inputs=summary_input, outputs=summary_output)
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demo.launch()
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