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README.md

@@ -1,13 +1,17 @@
 ---
-title: Science Chat
-emoji: 💻
-colorFrom: yellow
-colorTo: indigo
+title: Science Tutor
+emoji: 🔬
+colorFrom: green
+colorTo: gray
 sdk: gradio
 sdk_version: 6.19.0
-python_version: '3.13'
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Science Tutor
+
+**Model:** arinbalyan/deepseek-science
+
+## Links
+- **HF Profile:** [arinbalyan](https://huggingface.co/arinbalyan)

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+MODEL_ID = "arinbalyan/deepseek-science"
+
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
+if tokenizer.pad_token is None:
+    tokenizer.pad_token = tokenizer.eos_token
+
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_ID,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+def generate(prompt, history):
+    if not prompt.strip():
+        return "", history
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    with torch.no_grad():
+        out = model.generate(
+            **inputs,
+            max_new_tokens=200,
+            temperature=0.8,
+            do_sample=True,
+            pad_token_id=tokenizer.eos_token_id,
+        )
+    response = tokenizer.decode(out[0][inputs.input_ids.shape[1]:], skip_special_tokens=True)
+    history.append((prompt, response.strip()))
+    return "", history
+
+theme = (
+    gr.themes.Soft(primary_hue="teal", neutral_hue="slate")
+    .set(
+        button_primary_background_fill_hover="#0d9488",
+        button_primary_text_color="white",
+        input_background_fill="#f8fafc",
+        input_border_color="#e2e8f0",
+        input_border_color_focus="#0d9488",
+    )
+)
+
+css = """.gradio-container { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif !important; }
+.main-header { text-align: center; padding: 2rem 1rem; background: linear-gradient(135deg, #0d9488 0%, #0d9488dd 100%); color: white; border-radius: 12px; margin-bottom: 1rem; }
+.main-header h1 { font-size: 2rem; font-weight: 700; margin-bottom: 0.25rem; }
+.main-header p { font-size: 1rem; opacity: 0.9; }
+.footer { text-align: center; padding: 1rem; color: #64748b; font-size: 0.875rem; }"""
+
+with gr.Blocks(title="Science Tutor") as demo:
+    with gr.Row():
+        with gr.Column():
+            gr.HTML(f"""<div class="main-header"><h1>🔬 Science Tutor</h1><p>Generate with AI</p></div>""")
+    chatbot = gr.Chatbot(height=400)
+    msg = gr.Textbox(label="Prompt", placeholder='e.g., What is photosynthesis?', lines=2)
+    with gr.Row():
+        submit = gr.Button("Generate", variant="primary", size="lg", scale=1)
+        clear = gr.Button("Clear", size="lg", scale=0)
+    gr.Examples(examples=["What is photosynthesis?", "Explain Newton's laws of motion", "How does DNA replication work?", "What causes the seasons on Earth?", "Explain the periodic table trends"], inputs=msg, label="Try these")
+    gr.HTML(f"""<div class="footer">DeepSeek-R1-Distill-Qwen-1.5B on science data</div>""")
+    submit.click(generate, [msg, chatbot], [msg, chatbot])
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+if __name__ == "__main__":
+    demo.launch(theme=theme, css=css)

requirements.txt

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+transformers>=4.40
+torch>=2.0
+accelerate>=1.0