Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# Initialize the Hugging Face Inference Client
+client = InferenceClient()
+
+# Function to stream debate arguments as they are generated
+def debate_stream(topic, stance):
+    prompt = f"Construct a logical argument for the topic: '{topic}' with a stance: '{stance}'. Include both supporting arguments and potential counterarguments."
+    
+    messages = [
+        {"role": "user", "content": prompt}
+    ]
+
+    # Create a stream to receive generated content
+    stream = client.chat.completions.create(
+        model="AIDC-AI/Marco-o1",
+        messages=messages,
+        temperature=0.7,
+        max_tokens=1024,
+        top_p=0.8,
+        stream=True
+    )
+
+    # Stream content as it is generated
+    debate_output = ""
+    for chunk in stream:
+        debate_output += chunk.choices[0].delta.content
+        yield debate_output  # Yield incremental content to display immediately
+
+# Create Gradio interface with the modified layout
+with gr.Blocks() as app:
+    gr.Markdown("## Automated Debate System")
+    gr.Markdown("Generate logical arguments and counterarguments for any debate topic using advanced AI reasoning.")
+
+    with gr.Row():
+        # First column for input components
+        with gr.Column():
+            topic_input = gr.Textbox(lines=2, label="Debate Topic", placeholder="Enter your debate topic here", elem_id="full_width")
+            stance = gr.Dropdown(
+                choices=["For", "Against"],
+                label="Stance",
+                value="For"
+            )
+            debate_button = gr.Button("Generate Debate Arguments")
+
+        # Second column for output
+        with gr.Column():
+            gr.Markdown("### Debate Arguments")  # This acts as the label for the output
+            output_markdown = gr.Markdown()
+
+    # Link button to function with inputs and outputs
+    debate_button.click(fn=debate_stream, inputs=[topic_input, stance], outputs=output_markdown)
+
+# Run the Gradio app
+app.launch(debug=True)