Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,83 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+from merged import load_model_and_tokenizer, generate_code_stream
+from main import test_case   # your existing PDF generator
+
+st.write("🚀 App started")
+# ---------------- Load model ONCE ----------------
+@st.cache_resource
+def load_model():
+    return load_model_and_tokenizer()
+
+tokenizer, model = load_model()
+
+# ---------------- Session state ----------------
+for key in ["selected_language", "generated_code", "pdf_bytes", "user_input"]:
+    if key not in st.session_state:
+        st.session_state[key] = "" if key != "selected_language" else None
+
+# ---------------- UI helpers ----------------
+def select_language(lang):
+    st.session_state.selected_language = lang
+    st.session_state.generated_code = ""
+    st.session_state.pdf_bytes = ""
+    st.session_state.user_input = ""
+
+def reset():
+    for k in st.session_state:
+        st.session_state[k] = "" if k != "selected_language" else None
+
+# ---------------- UI ----------------
+st.title("Generate any code and get test case for it")
+
+if st.session_state.selected_language is None:
+    cols = st.columns(4)
+    cols[0].button("Java", on_click=select_language, args=("Java",))
+    cols[1].button("React.js", on_click=select_language, args=("React.js",))
+    cols[2].button("Python", on_click=select_language, args=("Python",))
+    cols[3].button("C++", on_click=select_language, args=("C++",))
+
+else:
+    lang = st.session_state.selected_language
+    st.subheader(f"Selected Language: {lang}")
+    st.button("Reset", on_click=reset)
+
+    st.session_state.user_input = st.text_input(
+        "Describe the task",
+        value=st.session_state.user_input
+    )
+
+    if st.button("Generate Code"):
+        if st.session_state.user_input.strip():
+            st.session_state.generated_code = ""
+
+            st.subheader("Generated Code")
+            code_placeholder = st.empty()
+
+            with st.spinner("Generating code..."):
+                for token in generate_code_stream(
+                    lang,
+                    st.session_state.user_input,
+                    tokenizer,
+                    model
+                ):
+                    st.session_state.generated_code += token
+                    code_placeholder.code(
+                        st.session_state.generated_code
+                    )
+
+            # Generate test case PDF AFTER code generation
+            st.session_state.pdf_bytes = test_case(
+                st.session_state.generated_code
+            )
+
+        else:
+            st.warning("Please enter a task")
+
+    if st.session_state.pdf_bytes:
+        st.download_button(
+            "Download Test Cases PDF",
+            st.session_state.pdf_bytes,
+            file_name="test_cases.pdf",
+            mime="application/pdf"
+        )
 
-"""
-# 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])),
-    ))