Update TabsTask.py

TabsTask.py

@@ -80,7 +80,7 @@ def chatbot(message, chat_history):
 chat_pipeline1 = pipeline("text-generation", model="yasserrmd/Human-Like-Qwen2.5-1.5B-Instruct")
 
 # === Chatbot ===
-def chatbot(message, chat_history):
+def chatbot1(message, chat_history):
     # Generate response
     result = chat_pipeline1(message, max_new_tokens=10)
 
@@ -90,40 +90,45 @@ def chatbot(message, chat_history):
     return bot_reply
 
 
-
 # === Build Gradio Interface ===
 with gr.Blocks() as demo:
-    with gr.Tab("Sentiment Analysis"):
-        gr.Markdown("### 🔍 Sentiment Analysis")
-        sentiment_input = gr.Textbox(label="Enter text", lines=3, placeholder="Type a sentence to analyze...")
-        sentiment_button = gr.Button("Analyze")
-        sentiment_output = gr.Textbox(label="Sentiment")
-        sentiment_button.click(analyze_sentiment, inputs=sentiment_input, outputs=sentiment_output)
-
-    with gr.Tab("Summarization"):
-        gr.Markdown("### ✂️ Summarization")
-        summary_input = gr.Textbox(label="Enter text", lines=8, placeholder="Paste long text here...")
-        summary_button = gr.Button("Summarize")
-        summary_output = gr.Textbox(label="Summary")
-        summary_button.click(summarize_text, inputs=summary_input, outputs=summary_output)
-
-    with gr.Tab("Text-to-Speech"):
-        gr.Markdown("### 🗣️ Text-to-Speech (using Bark)")
-        tts_input = gr.Textbox(label="Enter text to speak", lines=3, placeholder="Try something like: 'Hello, how are you?'")
-        tts_button = gr.Button("Generate Speech")
-        tts_output = gr.Audio(label="Generated Speech", type="numpy")
-        tts_button.click(text_to_speech, inputs=tts_input, outputs=tts_output)
-
-    with gr.ChatInterface(
-        chatbot,
-        type="messages",
-        title="Chatbot",
-        description="Start the conversation by sending text messages or ask questions!",
-        )
-    with gr.ChatInterface(
-        chatbot,
-        type="messages",
-        title="Chatbot",
-        description="Start the conversation by sending text messages or ask questions!",
-        )
+    with gr.Tabs():
+        with gr.Tab("Sentiment Analysis"):
+            gr.Markdown("### 🔍 Sentiment Analysis")
+            sentiment_input = gr.Textbox(label="Enter text", lines=3, placeholder="Type a sentence to analyze...")
+            sentiment_button = gr.Button("Analyze")
+            sentiment_output = gr.Textbox(label="Sentiment")
+            sentiment_button.click(analyze_sentiment, inputs=sentiment_input, outputs=sentiment_output)
+    
+        with gr.Tab("Summarization"):
+            gr.Markdown("### ✂️ Summarization")
+            summary_input = gr.Textbox(label="Enter text", lines=8, placeholder="Paste long text here...")
+            summary_button = gr.Button("Summarize")
+            summary_output = gr.Textbox(label="Summary")
+            summary_button.click(summarize_text, inputs=summary_input, outputs=summary_output)
+    
+        with gr.Tab("Text-to-Speech"):
+            gr.Markdown("### 🗣️ Text-to-Speech (using Bark)")
+            tts_input = gr.Textbox(label="Enter text to speak", lines=3, placeholder="Try something like: 'Hello, how are you?'")
+            tts_button = gr.Button("Generate Speech")
+            tts_output = gr.Audio(label="Generated Speech", type="numpy")
+            tts_button.click(text_to_speech, inputs=tts_input, outputs=tts_output)
+
+    
+        with gr.TabItem("Chatbot 1"):
+            gr.ChatInterface(
+                chatbot,
+                type="messages",
+                title="Chatbot 1",
+                description="Start the conversation in Chatbot 1!")
+
+
+        with gr.TabItem("Chatbot 2"):
+            gr.ChatInterface(
+                chatbot1,
+                type="messages",
+                title="Chatbot 2",
+                description="Start the conversation in Chatbot 2!")
+
+    
 demo.launch()