Update app.py

app.py

@@ -1,69 +1,69 @@
-import os
-from dotenv import load_dotenv
-from langchain_groq import ChatGroq
-from langchain_core.prompts import ChatPromptTemplate
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-from pydantic import BaseModel
-
-
-load_dotenv()
-
-
-groq_api_key = os.getenv('GROQ_API_KEY')
-
-
-llm_model = ChatGroq(
-    groq_api_key=groq_api_key,
-    model_name="Llama3-8b-8192"
-)
-
-
-app = FastAPI()
-
-
-origins = ["*"]
-
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=origins,
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-class textFromFrontendModel(BaseModel):
-    textFromNextJSFrontend: str
-
-
-
-@app.get('/')
-def welcome():
-    return {
-        'success': True,
-        'message': 'server of "fitbites is up and running successfully '
-    }
-
-
-@app.post('/predict')
-async def predict(incomingTextFromFrontend: textFromFrontendModel):
-
-    prompt_text = incomingTextFromFrontend.textFromNextJSFrontend
-
-    prompt_template = ChatPromptTemplate.from_template(
-        """
-        {text}
-        """
-    )
-
-    chain = prompt_template | llm_model
-    
-    response_from_model = chain.invoke({"text": prompt_text})
-
-    return {
-        'success': True,
-        'response_from_model': response_from_model
-    }
-
+import os
+from dotenv import load_dotenv
+from langchain_groq import ChatGroq
+from langchain_core.prompts import ChatPromptTemplate
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+
+
+load_dotenv() 
+
+
+groq_api_key = os.getenv('GROQ_API_KEY')
+
+
+llm_model = ChatGroq(
+    groq_api_key=groq_api_key,
+    model_name="Llama3-8b-8192"
+)
+
+
+app = FastAPI()
+
+
+origins = ["*"]
+
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=origins,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+class textFromFrontendModel(BaseModel):
+    textFromNextJSFrontend: str
+
+
+
+@app.get('/')
+def welcome():
+    return {
+        'success': True,
+        'message': 'server of "fitbites is up and running successfully '
+    }
+
+
+@app.post('/predict')
+async def predict(incomingTextFromFrontend: textFromFrontendModel):
+
+    prompt_text = incomingTextFromFrontend.textFromNextJSFrontend
+
+    prompt_template = ChatPromptTemplate.from_template(
+        """
+        {text}
+        """
+    )
+
+    chain = prompt_template | llm_model
+    
+    response_from_model = chain.invoke({"text": prompt_text})
+
+    return {
+        'success': True,
+        'response_from_model': response_from_model
+    }
+