Add Bangla model API

app.py

@@ -0,0 +1,54 @@
+import os
+import gradio as gr
+from config import DATA_DIR, VECTOR_DIR, UPLOADED_PDF_PATH, GROQ_API_KEY
+from ingestion import ingest_pdf
+from rag import answer, reset_memory
+
+# Prepare runtime folders
+os.makedirs(DATA_DIR, exist_ok=True)
+os.makedirs(VECTOR_DIR, exist_ok=True)
+
+def do_ingest(pdf_file):
+    if GROQ_API_KEY.strip() == "":
+        return "⚠️ GROQ_API_KEY is missing. Add it in your environment / HF Space secrets."
+
+    if pdf_file is None:
+        return "Please upload a PDF."
+
+    # Save uploaded file
+    with open(UPLOADED_PDF_PATH, "wb") as f:
+        f.write(pdf_file.read())
+
+    # Ingest and reset memory
+    msg = ingest_pdf(UPLOADED_PDF_PATH)
+    reset_memory()
+    return f"✅ {msg}"
+
+def chat_fn(user_message, history):
+    # Ensure vector index exists
+    if not os.path.exists(VECTOR_DIR) or not os.listdir(VECTOR_DIR):
+        return "Please upload a PDF and click 'Ingest PDF' first.", history
+
+    ans = answer(user_message)
+    history.append((user_message, ans))
+    return "", history
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 📚 Chat with Your PDF — FAISS + Groq + Memory (LangChain)")
+
+    with gr.Row():
+        pdf = gr.File(label="Upload PDF", file_types=[".pdf"], type="file")
+        ingest_btn = gr.Button("Ingest PDF")
+
+    status = gr.Textbox(label="Status", interactive=False)
+
+    chatbot = gr.Chatbot(label="Chat")
+    msg = gr.Textbox(label="Ask a question about the PDF and press Enter")
+    clear = gr.Button("Clear Chat")
+
+    ingest_btn.click(do_ingest, inputs=pdf, outputs=status)
+    msg.submit(chat_fn, [msg, chatbot], [msg, chatbot])
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+if __name__ == "__main__":
+    demo.launch()