Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,41 @@
-import altair as alt
-import numpy as np
-import pandas as pd
+import os
+from pathlib import Path
+from git import Repo
+import sys 
+
+# ---- 1. pick a writable base dir (we'll stop using /app)
+BASE_DIR = Path("/tmp/gl_runtime")
+STREAMLIT_DIR = BASE_DIR / ".streamlit"
+REPO_TARGET = BASE_DIR / "gl" 
+
+# ensure the base dir exists 
+BASE_DIR.mkdir(parents=True, exist_ok=True)
+STREAMLIT_DIR.mkdir(parents=True, exist_ok=True)
+
+# ---- 2. tell Streamlit to treat /tmp/... as "home"
+os.environ.setdefault("HOME", str(BASE_DIR))
+os.environ.setdefault("XDG_CONFIG_HOME", str(BASE_DIR))
+os.environ.setdefault("STREAMLIT_CONFIG_DIR", str(STREAMLIT_DIR))
+os.environ.setdefault("STREAMLIT_HOME", str(BASE_DIR))
+os.environ.setdefault("STREAMLIT_BROWSER_GATHERUSAGESTATS", "false")
+
+# ---- 3. clone private repo into /tmp/gl_runtime/gl if not already there
+if not REPO_TARGET.exists():
+    git_url = os.environ.get("GIT_URL")
+    if not git_url:
+        raise RuntimeError("GIT_URL env var is not set")
+    Repo.clone_from(git_url, REPO_TARGET)
+
+# make that repo importable
+sys.path.append(str(REPO_TARGET))
+
+# ---- 4. now safe to import streamlit and run the app
 import streamlit as st
+import gl
+#st.write("repo loaded from", str(REPO_TARGET))
+#st.image("huniutoo.png")
+#st.image("gwecon.png")
+gl.gl() 
+
+# ...rest of your UI...
 
-"""
-# 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])),
-    ))