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app.py

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+import gradio as gr
+import time
+import random
+
+def generate_response(text, creativity, model_type):
+    """
+    Simulates an AI response based on user input and parameters.
+    """
+    if not text:
+        return "Please enter some text to analyze."
+    
+    # Simulate processing time
+    time.sleep(1)
+    
+    responses = [
+        f"Analyzing '{text}' with {model_type} model...",
+        f"Based on a creativity level of {creativity}, here is a thought: {text.upper()}!",
+        f"Processed input: {text}. The {model_type} model found this interesting.",
+        f"Deep dive into '{text}': It seems you are interested in this topic."
+    ]
+    
+    # Simple logic based on creativity slider
+    if creativity > 0.7:
+        return random.choice(responses) + " (High Creativity Mode)"
+    elif creativity < 0.3:
+        return f"Standard analysis of: {text}"
+    else:
+        return random.choice(responses)
+
+# Gradio 6 Syntax: NO parameters in gr.Blocks() constructor!
+with gr.Blocks() as demo:
+    
+    # Header with mandatory link
+    gr.HTML("""
+    <div style="text-align: center; margin-bottom: 20px;">
+        <h1>AI Text Processor</h1>
+        <p>
+            <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="text-decoration: none; color: #007bff; font-weight: bold;">
+                Built with anycoder
+            </a>
+        </p>
+    </div>
+    """)
+    
+    gr.Markdown("Enter text below to generate a simulated AI response. Adjust parameters to change the output style.")
+    
+    with gr.Row():
+        # Sidebar for controls
+        with gr.Column(scale=1):
+            gr.Markdown("### ⚙️ Settings")
+            model_type = gr.Dropdown(
+                choices=["GPT-Sim", "BERT-Sim", "T5-Sim"],
+                value="GPT-Sim",
+                label="Select Model",
+                info="Choose the underlying simulation model."
+            )
+            creativity = gr.Slider(
+                minimum=0.0,
+                maximum=1.0,
+                value=0.5,
+                step=0.1,
+                label="Creativity Level",
+                info="Higher values result in more varied outputs."
+            )
+            clear_btn = gr.Button("Clear All", variant="stop")
+            
+        # Main interaction area
+        with gr.Column(scale=2):
+            gr.Markdown("### 💬 Interaction")
+            input_text = gr.Textbox(
+                label="Input Text",
+                placeholder="Type something here...",
+                lines=3,
+                show_copy_button=True
+            )
+            
+            submit_btn = gr.Button("Generate Response", variant="primary", size="lg")
+            
+            output_text = gr.Textbox(
+                label="AI Response",
+                lines=4,
+                interactive=False,
+                show_copy_button=True
+            )
+            
+            # Examples section
+            gr.Examples(
+                examples=[
+                    ["The future of AI is bright.", 0.8, "GPT-Sim"],
+                    ["Analyze this data set.", 0.2, "BERT-Sim"],
+                    ["Write a poem about code.", 0.9, "T5-Sim"]
+                ],
+                inputs=[input_text, creativity, model_type],
+                label="Try these examples:"
+            )
+
+    # Event Listeners
+    submit_btn.click(
+        fn=generate_response,
+        inputs=[input_text, creativity, model_type],
+        outputs=output_text,
+        api_visibility="public"  # Gradio 6 syntax
+    )
+    
+    # Add Enter key support for the textbox
+    input_text.submit(
+        fn=generate_response,
+        inputs=[input_text, creativity, model_type],
+        outputs=output_text,
+        api_visibility="public"
+    )
+    
+    clear_btn.click(
+        fn=lambda: [None, 0.5, "GPT-Sim", None],
+        outputs=[input_text, creativity, model_type, output_text],
+        api_visibility="private"
+    )
+
+# Gradio 6: ALL app-level params go in demo.launch()!
+demo.launch(
+    theme=gr.themes.Soft(
+        primary_hue="indigo",
+        secondary_hue="blue",
+        font=gr.themes.GoogleFont("Inter")
+    ),
+    footer_links=[
+        {"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"},
+        {"label": "Gradio", "url": "https://gradio.app"}
+    ]
+)
+
+=== Dockerfile ===
+# Use an official Python runtime as a parent image
+# slim version is smaller and more secure
+FROM python:3.11-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Install system dependencies if needed (rarely needed for pure Gradio, but good practice)
+# RUN apt-get update && apt-get install -y --no-install-recommends gcc
+
+# Copy the current directory contents into the container at /app
+COPY app.py .
+
+# Install any needed packages specified in requirements (or directly here)
+# We install directly to avoid generating a separate requirements.txt file as per instructions,
+# though in production a requirements.txt is preferred.
+RUN pip install --no-cache-dir gradio
+
+# Make port 7860 available to the world outside this container
+# Gradio's default port
+EXPOSE 7860
+
+# Define environment variable
+# ENV GRADIO_SERVER_NAME="0.0.0.0"
+
+# Run app.py when the container launches
+CMD ["python", "app.py"]

requirements.txt

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+gradio