Corrected typos

README.md

@@ -1,6 +1,6 @@
 ---
-title: Gemma Demo GSoC
-emoji: 💎
+title: LIA - LLM Demo
+emoji: ♌
 colorFrom: indigo
 colorTo: pink
 sdk: streamlit
@@ -9,13 +9,13 @@ app_file: app.py
 pinned: false
 ---
 
-# 💎 Gemma 💎 HF Spaces Demo
+# ♌ LIA ♌ HF Spaces Demo
 
-An interactive [Streamlit](https://streamlit.io) app to test [Gemma](https://huggingface.co/google/gemma-2b) models directly in your browser.
+An interactive [Streamlit](https://streamlit.io) app to test [DeepSeek](https://huggingface.co/google/gemma-2b) models directly in your browser.
 
 ## Features 🚀
 
-- Chat with the Gemma model (default: `google/gemma-2b`)
+- Chat with the LLM Model
 - Fast deploy to Hugging Face Spaces
 - Easy to customize & extend
 

app.py

@@ -3,15 +3,15 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 import base64
 
-st.set_page_config(page_title="Gemma Demo", layout="wide")
+st.set_page_config(page_title="LIA Demo", layout="wide")
 # Model selection (STUBBED behavior)
-model_option = st.selectbox(
-    "Choose a Gemma to reveal hidden truths:",
-    ["gemma-2b-it (Instruct)", "gemma-2b", "gemma-7b", "gemma-7b-it"],
-    index=0,
-    help="Stubbed selection – only gemma-2b-it will load for now."
-)
-st.markdown("<h1 style='text-align: center;'>Portal to Gemma</h1>", unsafe_allow_html=True)
+# model_option = st.selectbox(
+#     "Choose a Gemma to reveal hidden truths:",
+#     ["gemma-2b-it (Instruct)", "gemma-2b", "gemma-7b", "gemma-7b-it"],
+#     index=0,
+#     help="Stubbed selection – only gemma-2b-it will load for now."
+# )
+st.markdown("<h1 style='text-align: center;'>Ask LeoNardo!</h1>", unsafe_allow_html=True)
 
 # Load both GIFs in base64 format
 def load_gif_base64(path):
@@ -31,7 +31,7 @@ caption = st.empty()
 #     unsafe_allow_html=True,
 # )
 gif_html.markdown(
-    f"<div style='text-align:center;'><img src='https://media3.giphy.com/media/v1.Y2lkPTc5MGI3NjExMG00dmlwbjZsemZ5Mnh2eTIwOGNyYncwbGNqd3U3aHhiNGYxYjgwbCZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9cw/WmJtDY3xgYVgXgQZYc/giphy.gif' width='300'></div>",
+    f"<div style='text-align:center;'><img src='https://media0.giphy.com/media/v1.Y2lkPTc5MGI3NjExYTRxYzI2bXJmY3N2bXBtMHJtOGV3NW9vZ3l3M3czbGYybGpkeWQ1YSZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9cw/3uPWb5EYVvxdfoREQm/giphy.gif' width='300'></div>",
     unsafe_allow_html=True,
 )
 
@@ -51,8 +51,8 @@ def load_model():
     return tokenizer, model
 
 tokenizer, model = load_model()
-prompt = st.text_area("Enter your prompt:", "What is Gemma?")
-# # Example prompt selector
+prompt = st.text_area("Enter your prompt:", "What is Leonardo, the company with the red logo?")
+# Example prompt selector
 # examples = {
 #     "🧠 Summary": "Summarize the history of AI in 5 bullet points.",
 #     "💻 Code": "Write a Python function to sort a list using bubble sort.",
@@ -63,16 +63,16 @@ prompt = st.text_area("Enter your prompt:", "What is Gemma?")
 
 # selected_example = st.selectbox("Choose a Gemma to consult:", list(examples.keys()) + ["✍️ Custom input"])
 # Add before generation
-col1, col2, col3 = st.columns(3)
+# col1, col2, col3 = st.columns(3)
 
-with col1:
-    temperature = st.slider("Temperature", 0.1, 1.5, 1.0)
+# with col1:
+#     temperature = st.slider("Temperature", 0.1, 1.5, 1.0)
 
-with col2:
-    max_tokens = st.slider("Max tokens", 50, 500, 100)
+# with col2:
+#     max_tokens = st.slider("Max tokens", 50, 500, 100)
 
-with col3:
-    top_p = st.slider("Top-p (nucleus sampling)", 0.1, 1.0, 0.95)
+# with col3:
+#     top_p = st.slider("Top-p (nucleus sampling)", 0.1, 1.0, 0.95)
 # if selected_example != "✍️ Custom input":
 #     prompt = examples[selected_example]
 # else:
@@ -85,17 +85,17 @@ if st.button("Generate"):
     #     unsafe_allow_html=True,
     # )
     gif_html.markdown(
-        f"<div style='text-align:center;'><img src='https://media4.giphy.com/media/v1.Y2lkPTc5MGI3NjExaXB0ZTEycW1yYWhvZWExdHFyNzBnemdtdm80NzY0MGg1ZnkyNTRqbiZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9cw/FIMRlbkylLyniVP7WG/giphy.gif' width='300'></div>",
+        f"<div style='text-align:center;'><img src='https://media2.giphy.com/media/v1.Y2lkPTc5MGI3NjExMXViMm02MnR6bGJ4c2h3ajYzdWNtNXNtYnNic3lnN2xyZzlzbm9seSZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9cw/k32ddF9WVs44OUaZAm/giphy.gif' width='300'></div>",
         unsafe_allow_html=True,
     )
-    caption.markdown("<p style='text-align: center;'>Gemma is thinking... 🌀</p>", unsafe_allow_html=True)
+    caption.markdown("<p style='text-align: center; margin-top: 20px;'>LeoNardo is thinking... 🌀</p>", unsafe_allow_html=True)
 
 
     # Generate text
 
     inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
     with torch.no_grad():
-        outputs = model.generate(**inputs, max_new_tokens=max_tokens, temperature=temperature, top_p=top_p)
+        outputs = model.generate(**inputs, max_new_tokens=100, temperature=1.0, top_p=0.95)
 
     # Back to still
     # gif_html.markdown(
@@ -103,7 +103,7 @@ if st.button("Generate"):
     #     unsafe_allow_html=True,
     # )
     gif_html.markdown(
-        f"<div style='text-align:center;'><img src='https://media3.giphy.com/media/v1.Y2lkPTc5MGI3NjExMG00dmlwbjZsemZ5Mnh2eTIwOGNyYncwbGNqd3U3aHhiNGYxYjgwbCZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9cw/WmJtDY3xgYVgXgQZYc/giphy.gif' width='300'></div>",
+        f"<div style='text-align:center;'><img src='https://media0.giphy.com/media/v1.Y2lkPTc5MGI3NjExYTRxYzI2bXJmY3N2bXBtMHJtOGV3NW9vZ3l3M3czbGYybGpkeWQ1YSZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9cw/3uPWb5EYVvxdfoREQm/giphy.gif' width='300'></div>",
         unsafe_allow_html=True,
     )
     caption.empty()