Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,57 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+from huggingface_hub import hf_hub_download
+from llama_cpp import Llama
+
+# Configurazione interfaccia
+st.set_page_config(page_title="Limba Mentor", page_icon="🏴󠁩󠁴󠁳󠁡󠁿")
+
+st.title("Limba Mentor 🏴󠁩󠁴󠁳󠁡󠁿")
+st.markdown("### Su mentore tuo in limba sarda")
+
+# 2. Scarica e carica il modello dal tuo profilo FPll
+@st.cache_resource
+def load_model():
+    # IMPORTANTE: controlla se il file nel tuo repo si chiama davvero così
+    # Se no, cambia 'unsloth.Q4_K_M.gguf' con il nome esatto che vedi su HF
+    try:
+        model_path = hf_hub_download(
+            repo_id="FPll/limba-mentor-llama3-gguf", 
+            filename="unsloth.Q4_K_M.gguf" 
+        )
+        return Llama(model_path=model_path, n_ctx=2048, n_threads=2)
+    except Exception as e:
+        st.error(f"Errore nel download del modello: {e}")
+        return None
+
+with st.spinner("Sto pensando..."):
+    llm = load_model()
+
+# 3. Gestione della chat
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+if prompt := st.chat_input("Iscrie inoghe..."):
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    with st.chat_message("assistant"):
+        # Formattazione per Llama 3
+        full_prompt = f"### Istruzione:\n{prompt}\n\n### Risposta:\n"
+        
+        if llm:
+            response = llm(
+                full_prompt,
+                max_tokens=512,
+                stop=["###", "<|end_of_text|>", "</s>"],
+                echo=False
+            )
+            answer = response["choices"][0]["text"].strip()
+            st.markdown(answer)
+            st.session_state.messages.append({"role": "assistant", "content": answer})
+        else:
+            st.error("Modello non caricato. Controlla il nome del file GGUF.")