modified code and add files

app.py

@@ -33,6 +33,7 @@ class Symptoms(BaseModel):
 
 @app.get("/")
 def home():
+    print(df.iloc[0])
     return {"Hello": "World!"}
 
 @app.post("/", response_model=list[Disease])
@@ -42,6 +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])
     # id_ = id_.drop_duplicates("label")
     ls["scores"] = scores
     # scores = scores[id_.index]
@@ -51,5 +53,5 @@ async def predict(symptoms: Symptoms):
                       "name": value[1],
                       "url" : value[2],
                       "score" : value[3]})
-                      for value in zip(df.index, ls["name"], ls["url"], ls["scores"])]
+                      for value in zip(ls.index, ls["name"], ls["url"], ls["scores"])]
     return diseases