Fix: Parse input_text from request body

app.py

@@ -1,20 +1,19 @@
 from fastapi import FastAPI, HTTPException
-from huggingface_hub import InferenceClient
+from pydantic import BaseModel
 
 app = FastAPI()
 
-# Initialize the Hugging Face client
-client = InferenceClient(model="HuggingFaceH4/zephyr-7b-beta")
+# Define the input schema
+class InputText(BaseModel):
+    input_text: str
 
 @app.get("/")
 def root():
     return {"message": "Welcome to the LLM API"}
 
 @app.post("/predict")
-def predict(input_text: str):
-    try:
-        # Make a prediction using the Hugging Face model
-        response = client.text_generation(input_text)
-        return {"response": response}
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e))
+def predict(data: InputText):
+    # Access the input_text from the request body
+    input_text = data.input_text
+    # For now, return the input text as a response
+    return {"response": f"The input was: {input_text}"}