Create app.py

app.py

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+# ============================
+# 🟢 Install & Imports
+# ============================
+
+import gradio as gr
+from transformers import pipeline
+import torch
+import gtts
+
+print("Torch version:", torch.__version__)
+
+# ============================
+# 💬 Sentiment Analysis
+# ============================
+
+# Create sentiment analysis pipeline
+sentiment_pipe = pipeline("sentiment-analysis")
+
+def analyze_sentiment(text):
+    result = sentiment_pipe(text)[0]
+    label = result["label"]
+    score = result["score"]
+    return f"Label: {label}\nConfidence: {score:.2f}"
+
+# ============================
+# 🤖 Chatbot (DialoGPT)
+# ============================
+
+# Use Microsoft DialoGPT for more relevant replies
+chatbot_pipe = pipeline("text-generation", model="microsoft/DialoGPT-medium")
+
+def chat_response(user_message):
+    # Provide prompt format to simulate a dialog
+    prompt = f"User: {user_message}\nBot:"
+    response = chatbot_pipe(prompt, max_length=100, do_sample=True, temperature=0.7)[0]["generated_text"]
+    # Clean the output to extract only the bot reply
+    reply = response.split("Bot:")[-1].strip()
+    return reply
+
+# ============================
+# ✨ Summarization
+# ============================
+
+# Summarization pipeline
+summarization_pipe = pipeline("summarization", model="facebook/bart-large-cnn")
+
+def summarize_text(text):
+    summary = summarization_pipe(text, max_length=130, min_length=30, do_sample=False)[0]["summary_text"]
+    return summary
+
+# ============================
+# 🔊 Text-to-Speech
+# ============================
+
+def text_to_speech(text):
+    tts = gtts.gTTS(text)
+    tts.save("output.mp3")
+    return "output.mp3"
+
+# ============================
+# 🌐 Gradio App (Multi-Tab)
+# ============================
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🌟 Multi-Task Language Application\nChoose a tab below to explore different language AI tasks!")
+
+    with gr.Tab("Sentiment Analysis"):
+        text_input = gr.Textbox(label="Enter text")
+        output = gr.Textbox(label="Sentiment Result")
+        analyze_btn = gr.Button("Analyze")
+        analyze_btn.click(analyze_sentiment, inputs=text_input, outputs=output)
+
+    with gr.Tab("Chatbot"):
+        chat_input = gr.Textbox(label="Ask something")
+        chat_output = gr.Textbox(label="Bot Reply")
+        chat_btn = gr.Button("Send")
+        chat_btn.click(chat_response, inputs=chat_input, outputs=chat_output)
+
+    with gr.Tab("Summarization"):
+        long_text = gr.Textbox(label="Paste text", lines=10, placeholder="Paste a long text here...")
+        summary_output = gr.Textbox(label="Summary")
+        summary_btn = gr.Button("Summarize")
+        summary_btn.click(summarize_text, inputs=long_text, outputs=summary_output)
+
+    with gr.Tab("Text-to-Speech"):
+        tts_text = gr.Textbox(label="Enter text to convert to speech")
+        audio_output = gr.Audio(label="Generated Speech")
+        tts_btn = gr.Button("Generate Voice")
+        tts_btn.click(text_to_speech, inputs=tts_text, outputs=audio_output)
+
+demo.launch()