create a draft of the app

app.py

@@ -0,0 +1,71 @@
+import pandas as pd
+import streamlit as st
+import plotly.express as px
+from models import NLI_MODEL_OPTIONS, NSP_MODEL_OPTIONS, METHOD_OPTIONS
+
+st.title("Zero-shot Turkish Text Classification")
+
+method_selection = st.radio(
+    "Select a zero-shot classification method.",
+    [
+        METHOD_OPTIONS["nli"],
+        METHOD_OPTIONS["nsp"],
+    ],
+)
+
+if method_selection == METHOD_OPTIONS["nli"]:
+    model = st.selectbox(
+        "Select a natural language inference model.", NLI_MODEL_OPTIONS
+    )
+if method_selection == METHOD_OPTIONS["nsp"]:
+    model = st.selectbox(
+        "Select a BERT model for next sentence prediction.", NSP_MODEL_OPTIONS
+    )
+
+st.header("Configure prompts and labels")
+col1, col2 = st.columns(2)
+col1.subheader("Candidate labels")
+labels = col1.text_area(
+    label="These are the labels that the model will try to predict for the given text input. Your input labels should be comma separated and meaningful.",
+    value="spor,dünya,siyaset,ekonomi,kültür ve sanat",
+    height=10,
+    placeholder="Enter a set of comma separated labels. (eg. spor,dünya,siyaset,ekonomi,kültür ve sanat)",
+)
+col2.subheader("Prompt template")
+prompt_template = col2.text_area(
+    label="Prompt template is used to transform NLI and NSP tasks into a general-use zero-shot classifier. Models replace {} with the labels that you have given.",
+    value="Bu metin {} kategorisine aittir",
+    height=10,
+)
+
+col1.header("Make predictions")
+col2.header("")
+col1.text_area("", value="", placeholder="Enter some text to classify.")
+col1.button("Predict")
+
+probs = [0.86, 0.10, 0.01, 0.02, 0.01]
+data = pd.DataFrame({"labels": labels.split(","), "probability": probs}).sort_values(
+    by="probability", ascending=False
+)
+chart = px.bar(
+    data,
+    x="probability",
+    y="labels",
+    color="labels",
+    orientation="h",
+    height=290,
+    width=500,
+).update_layout(
+    {
+        "xaxis": {"title": "probability", "visible": True, "showticklabels": True},
+        "yaxis": {"title": None, "visible": True, "showticklabels": True},
+        "margin": dict(
+            l=10,  # left
+            r=10,  # right
+            t=50,  # top
+            b=10,  # bottom
+        ),
+        "showlegend": False,
+    }
+)
+col2.plotly_chart(chart)