Create app.py

app.py

@@ -0,0 +1,39 @@
+import gradio as gr
+from transformers import pipeline
+
+# Aapki exact Model ID yahan set kar di hai
+MODEL_ID = "Nebulixlabs/Nutral-Reasoning"
+
+print("Loading model...")
+generator = pipeline("text-generation", model=MODEL_ID)
+print("Model loaded successfully!")
+
+def generate_text(prompt, max_length, temperature):
+    results = generator(
+        prompt, 
+        max_new_tokens=max_length, 
+        temperature=temperature,
+        do_sample=True if temperature > 0 else False
+    )
+    return results[0]['generated_text']
+
+with gr.Blocks() as demo:
+    gr.Markdown(f"# Nutral Reasoning")
+    
+    with gr.Row():
+        with gr.Column():
+            input_text = gr.Textbox(lines=4, label="Input Prompt", placeholder="Type something here...")
+            max_tokens = gr.Slider(minimum=10, maximum=512, value=100, step=10, label="Max New Tokens")
+            temp = gr.Slider(minimum=0.1, maximum=1.0, value=0.7, step=0.1, label="Temperature")
+            submit_btn = gr.Button("Generate")
+        
+        with gr.Column():
+            output_text = gr.Textbox(lines=6, label="Generated Text")
+            
+    submit_btn.click(
+        fn=generate_text, 
+        inputs=[input_text, max_tokens, temp], 
+        outputs=output_text
+    )
+
+demo.launch()