primeira versao

app.py

@@ -1,8 +1,34 @@
 import gradio as gr
+import pickle
 
-def greet(name):
-    return "Olá Mundo " + name + "!!"
+from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn.feature_selection import SelectKBest
+from sklearn.feature_selection import f_classif
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+import pandas as pd
 
-iface.launch()
+# CLONE - Studio Dashboard: "default" and "Default Project" does not give clear information about Alloy and Project unless description is read.
+# Steps To Reproduce: 1. On dashboard on studio 3.0, navigate to Develop tab. 2. Notice "default" and "Default Project" & "two-tabbed" and "Tabbed Application" names. Actual: User does not get clear information from names that one is alloy project and another one is Titanium project unless he reads the description below. Expected: Naming convention or icon corresponding must suggest type
+
+def calcula(titulo, descricao):
+    with open("model/model_tawos_aloy.pkl", "rb") as file:
+        model = pickle.load(file)
+
+    context = titulo + descricao
+    d = {"context": [context]}
+    df = pd.DataFrame(data=d, columns=["context"])
+
+    vectorizer = TfidfVectorizer()
+    X = vectorizer.fit_transform(df["context"])
+
+    #X_new = SelectKBest(f_classif, k=50).fit_transfor(X)
+    
+    story_points = model.predict(X)
+
+    return story_points
+
+gr.Interface(fn=calcula, 
+                    inputs=[gr.Textbox(placeholder="Título", label="Título"), 
+                            gr.Textbox(lines=10, placeholder="Descrição", label="Descrição")], 
+                    outputs=[gr.Textbox(label="Story Points Estimado")],
+                    title="Agile Task Story Point Estimator").launch()

model/model_tawos_aloy.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eec214d79758da785f259815f1e4f9576f75b574f4d2173d703eb7f856c207d3
+size 4451

requirements.txt

@@ -0,0 +1 @@
+scikit-learn