Update main.py

main.py

@@ -1,23 +1,27 @@
-from fastapi import FastAPI
-from pydantic import BaseModel
-from typing import List
-
-app = FastAPI()
-
-class SentencesInput(BaseModel):
-    sentences: List[str]
-
-@app.post("/sentiment")
-async def analyze_sentiment(data: SentencesInput):
-    happy = ["love", "great", "awesome", "amazing", "good", "fantastic", "best", "wonderful"]
-    sad = ["hate", "bad", "terrible", "awful", "horrible", "sad", "worst", "disappointed"]
-    results = []
-    for s in data.sentences:
-        text = s.lower()
-        sentiment = "neutral"
-        if any(w in text for w in happy):
-            sentiment = "happy"
-        elif any(w in text for w in sad):
-            sentiment = "sad"
-        results.append({"sentence": s, "sentiment": sentiment})
-    return {"results": results}
+from fastapi import FastAPI
+from pydantic import BaseModel
+from typing import List
+
+app = FastAPI()
+
+class SentencesInput(BaseModel):
+    sentences: List[str]
+
+@app.get("/")
+def home():
+    return {"message": "Sentiment API is running. Use /sentiment for POST requests."}
+
+@app.post("/sentiment")
+async def analyze_sentiment(data: SentencesInput):
+    happy = ["love", "great", "awesome", "amazing", "good", "fantastic", "best", "wonderful"]
+    sad = ["hate", "bad", "terrible", "awful", "horrible", "sad", "worst", "disappointed"]
+    results = []
+    for s in data.sentences:
+        text = s.lower()
+        sentiment = "neutral"
+        if any(w in text for w in happy):
+            sentiment = "happy"
+        elif any(w in text for w in sad):
+            sentiment = "sad"
+        results.append({"sentence": s, "sentiment": sentiment})
+    return {"results": results}