Update app.py

app.py

@@ -7,7 +7,7 @@ from textblob import TextBlob
 import json
 import os
 import concurrent.futures
-from huggingface_hub import InferenceClient
+from groq import Groq
 import textstat
 import trafilatura
 import requests
@@ -23,8 +23,8 @@ URL_A = "https://www.foxnews.com/live-news/trump-iran-israel-war-updates-march-3
 URL_B = "https://edition.cnn.com/2026/03/30/world/live-news/iran-war-us-israel-trump"
 
 # Initialize the Hugging Face Client
-HF_TOKEN = os.environ.get("HF_TOKEN")
-client = InferenceClient(model="Qwen/Qwen2.5-7B-Instruct", token=HF_TOKEN)
+GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
+client = Groq(api_key=GROQ_API_KEY)
 
 @st.cache_resource
 def _initialize_app():
@@ -67,7 +67,13 @@ def analyze_article(text: str) -> dict:
     """
     
     messages = [{"role": "user", "content": prompt}]
-    response = client.chat_completion(messages=messages, max_tokens=300, temperature=0.1)
+    response = client.chat.completions.create(
+        model="llama-3.3-70b-versatile",
+        messages=messages,
+        max_tokens=300,
+        temperature=0.1,
+        response_format={"type": "json_object"}
+    )
     response_text = response.choices[0].message.content
     llm_data = _extract_json_from_llm(response_text)
 
@@ -212,7 +218,13 @@ def check_contradiction(text_a: str, text_b: str) -> dict:
     Text 2: "{text_b[:1000]}"
     """
     messages = [{"role": "user", "content": prompt}]
-    response = client.chat_completion(messages=messages, max_tokens=100, temperature=0.1)
+    response = client.chat.completions.create(
+        model="llama-3.3-70b-versatile",
+        messages=messages,
+        max_tokens=100,
+        temperature=0.1,
+        response_format={"type": "json_object"}
+    )
     response_text = response.choices[0].message.content
     result = _extract_json_from_llm(response_text)
     return {"relationship": result.get("relationship", "NEUTRAL"), "confidence": result.get("confidence", 0.0)}
@@ -221,8 +233,8 @@ def check_contradiction(text_a: str, text_b: str) -> dict:
 # USER INTERFACE
 st.set_page_config(page_title="FrameVis | Media Framing", layout="wide")
 
-if not HF_TOKEN:
-    st.warning("Hugging Face Token Missing.")
+if not GROQ_API_KEY:
+    st.warning("Groq API Token Missing.")
     st.stop()
 
 st.markdown("""