yeah

app.py

@@ -5,7 +5,16 @@ import requests
 API_KEY = "your_huggingface_api_key"
 
 def generate_text(input_text):
-    return input_text
+    added_lines = []
+    for line in input_text.split('\n'):
+        if line.startswith('+') and not line.startswith('+++'):
+            added_line = line[1:]  # Remove the '+' sign
+            if sum(len(l) + 1 for l in added_lines) + len(added_line) <= 2000:
+                added_lines.append(added_line)
+            else:
+                return "Input too long. Please try again."
+                break
+    return '\n'.join(added_lines)
 
 def analyze_sentiment(input_text):
     return input_text
@@ -14,25 +23,11 @@ def echo_text(input_text):
     return input_text
 
 # Define the Gradio interface
-interface = gr.Interface(
-    [
-        generate_text,  # Text generation
-        analyze_sentiment,  # Sentiment analysis
-        echo_text  # Echo text
-    ],
-    inputs=[
-        gr.Textbox(lines=2, placeholder="Enter text for generation..."),
-        gr.Textbox(lines=2, placeholder="Enter text for sentiment analysis..."),
-        gr.Textbox(lines=2, placeholder="Enter text to echo...")
-    ],
-    outputs=[
-        "text",
-        "text",
-        "text"
-    ],
-    title="Multiple Hugging Face Models",
-    description="Three different functions: Text generation, Sentiment Analysis, and Echo."
-)
+interface1 = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+interface2 = gr.Interface(fn=analyze_sentiment, inputs="text", outputs="text")
+interface3 = gr.Interface(fn=echo_text, inputs="text", outputs="text")
+
+tabbed_interface = gr.TabbedInterface([interface1, interface2, interface3], ["Text Generation", "Sentiment Analysis", "Echo Text"])
 
 if __name__ == "__main__":
-    interface.launch()
+    tabbed_interface.launch()