Update app.py

app.py

@@ -12,12 +12,12 @@ from langchain.prompts import PromptTemplate
 from langchain_openai import ChatOpenAI
 
 
-# ✅ OpenRouter API setup (use Hugging Face Secret)
+
 os.environ["OPENAI_API_KEY"] = os.environ["OPENROUTER_API_KEY"]
 os.environ["OPENAI_API_BASE"] = "https://openrouter.ai/api/v1"
 os.environ["OPENAI_API_HEADERS"] = '{"HTTP-Referer":"https://huggingface.co", "X-Title":"PDF-RAG"}'
 
-# ✅ Load and clean the policy PDF
+#Load and clean the policy PDF
 def extract_clean_sections(file_path):
     with pdfplumber.open(file_path) as pdf:
         full_text = ""
@@ -39,7 +39,7 @@ def extract_clean_sections(file_path):
             docs.append(Document(page_content=f"{title}:\n{content}", metadata={"section": title}))
     return docs
 
-# ✅ TF-IDF Embeddings
+#TF-IDF Embeddings
 class TfidfEmbedding(Embeddings):
     def __init__(self):
         self.vectorizer = TfidfVectorizer()
@@ -53,7 +53,7 @@ class TfidfEmbedding(Embeddings):
     def embed_query(self, text):
         return self.vectorizer.transform([text]).toarray()[0]
 
-# ✅ Prompt Template (no emojis, no markdown)
+#  Prompt Template 
 TEMPLATE = """
 You are a strict healthcare policy checker for Systems Ltd.
 
@@ -72,7 +72,7 @@ Answer:
 custom_prompt = PromptTemplate(template=TEMPLATE, input_variables=["context", "question"])
 
 
-# ✅ Load the policy at startup
+# Load the policy at startup
 def initialize_policy():
     global qa_chain
     docs = extract_clean_sections("healthcare_policy.pdf")
@@ -101,7 +101,7 @@ def initialize_policy():
         chain_type_kwargs={"prompt": custom_prompt}
     )
 
-# ✅ Run QA on user question
+# Run QA on user question
 def ask_policy_question(question):
     if qa_chain is None:
         return "The policy is still loading. Please wait."
@@ -111,9 +111,9 @@ def ask_policy_question(question):
         return f"Error: {str(e)}"
 
 
-# ✅ Gradio Interface
+#  Gradio Interface
 qa_chain = None
-status_text = "Loading..."  # Initial status
+status_text = "Loading..." 
 
 with gr.Blocks() as demo:
     gr.Markdown("## SL HealthCare Claim Checker (RAG)")