ultima versao

app.py

@@ -31,7 +31,7 @@ def calcula_MbR(titulo, descricao, nome_projeto):
     context = titulo + descricao
     d = {"context_": [context]}
     df = pd.DataFrame(data=d, columns=["context_"])
-    model = load(hf_hub_download("giseldo/model_effort_tawos", "model_tawos_aloy_mbr.joblib", force_download=False))
+    model = load(hf_hub_download("giseldo/model_effort_tawos", "models/tawos/aloy/model_tawos_aloy_mbr.joblib", force_download=False))
     story_points_MbR = model.predict(df["context_"])
     return story_points_MbR
 
@@ -39,12 +39,12 @@ def calcula_Median(titulo, descricao, nome_projeto):
     context = titulo + descricao
     d = {"context_": [context]}
     df = pd.DataFrame(data=d, columns=["context_"])
-    model = load(hf_hub_download("giseldo/model_effort_tawos", "model_tawos_aloy_median.joblib", force_download=False))
+    model = load(hf_hub_download("giseldo/model_effort_tawos", "models/tawos/aloy/model_tawos_aloy_median.joblib", force_download=False))
     story_points_MbR = model.predict(df["context_"])
     return story_points_MbR
 
 def calcula_NEOSP_SVR(titulo, descricao, nome_projeto):
-    model = load(hf_hub_download("giseldo/model_effort_tawos", "model_tawos_aloy_neosp_svr.joblib", force_download=False))
+    model = load(hf_hub_download("giseldo/model_effort_tawos", "models/tawos/aloy/model_tawos_aloy_neosp_svr.joblib", force_download=False))
     
     # criação de uma nova coluna
     context = titulo + descricao
@@ -90,7 +90,7 @@ def calcula_NEOSP_SVR(titulo, descricao, nome_projeto):
     return story_points
 
 def calcula_NEOSP_Linear(titulo, descricao, nome_projeto):
-    model = load(hf_hub_download("giseldo/model_effort_tawos", "model_tawos_aloy_neosp_linear.joblib", force_download=False))
+    model = load(hf_hub_download("giseldo/model_effort_tawos", "models/tawos/aloy/model_tawos_aloy_neosp_linear.joblib", force_download=False))
     # criação de uma nova coluna
     context = titulo + descricao
     d = {"context": [context]}
@@ -135,11 +135,11 @@ def calcula_NEOSP_Linear(titulo, descricao, nome_projeto):
     return story_points
     
 def calcula_TFIDF_SVR(titulo, descricao, nome_projeto):
-    model = load(hf_hub_download("giseldo/model_effort_tawos", "model_tawos_aloy_tfidf_svr.joblib", force_download=False))
+    model = load(hf_hub_download("giseldo/model_effort_tawos", "models/tawos/aloy/model_tawos_aloy_tfidf_svr.joblib", force_download=False))
     context = titulo + descricao
     d = {"context_": [context]}
     df = pd.DataFrame(data=d, columns=["context_"])
-    vectorizer = load(hf_hub_download("giseldo/model_effort_tawos", "vectorizer_tfidf.joblib", force_download=False))
+    vectorizer = load(hf_hub_download("giseldo/model_effort_tawos", "models/tawos/aloy/vectorizer_tfidf.joblib", force_download=False))
     X_vec = vectorizer.transform(df["context_"])
     df_vec = pd.DataFrame(data = X_vec.toarray(), columns = vectorizer.get_feature_names_out())
     X = df_vec
@@ -147,11 +147,11 @@ def calcula_TFIDF_SVR(titulo, descricao, nome_projeto):
     return story_points
 
 def calcula_TFIDF_Linear(titulo, descricao, nome_projeto):
-    model = load(hf_hub_download("giseldo/model_effort_tawos", "model_tawos_aloy_tfidf_linear.joblib", force_download=False))
+    model = load(hf_hub_download("giseldo/model_effort_tawos", "models/tawos/aloy/model_tawos_aloy_tfidf_linear.joblib", force_download=False))
     context = titulo + descricao
     d = {"context_": [context]}
     df = pd.DataFrame(data=d, columns=["context_"])
-    vectorizer = load(hf_hub_download("giseldo/model_effort_tawos", "vectorizer_tfidf.joblib", force_download=False))
+    vectorizer = load(hf_hub_download("giseldo/model_effort_tawos", "models/tawos/aloy/vectorizer_tfidf.joblib", force_download=False))
     X_vec = vectorizer.transform(df["context_"])
     df_vec = pd.DataFrame(data = X_vec.toarray(), columns = vectorizer.get_feature_names_out())
     X = df_vec