modified code and add files

app.py

@@ -43,7 +43,7 @@ async def predict(symptoms: Symptoms):
     scores, indicies = torch.topk(similarity_vectors, k=len(corpus))
     # id_ = df.iloc[indicies].reset_index(drop=True)
     ls = df.iloc[indicies].copy()
-    print(ls.iloc[0])
+    # print(ls.iloc[0])
     # id_ = id_.drop_duplicates("label")
     ls["scores"] = scores
     # scores = scores[id_.index]

corpus/y_all_disease.pickle

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:11a003c5bc180aaff3d06b5f64ee28034512937629b635605a2bb56edd267ff9
-size 4045987
+oid sha256:0153ee13f0eafbb5555b3b0fd829bb06056f64562163a3516632ef06774d1f7a
+size 46844