Delete APP.PY

APP.PY

@@ -1,114 +0,0 @@
-import os
-import gradio as gr
-from pypdf import PdfReader
-from groq import Groq
-
-def extract_text_from_pdf(pdf_path):
-    reader = PdfReader(pdf_path)
-    pages = []
-    for i, page in enumerate(reader.pages):
-        text = page.extract_text()
-        if text and text.strip():
-            pages.append(f"[Page {i+1}]\n{text.strip()}")
-    return "\n\n".join(pages) if pages else None
-
-def truncate_text(text, max_chars=6000):
-    if len(text) <= max_chars:
-        return text
-    return text[:4000] + "\n\n...[middle truncated]...\n\n" + text[-2000:]
-
-def ask_groq(pdf_text, question, model, history):
-    client = Groq(api_key=os.environ["GROQ_API_KEY"])
-    safe_pdf_text = truncate_text(pdf_text)
-
-    messages = [{
-        "role": "system",
-        "content": (
-            "You are a helpful assistant. Answer questions ONLY from the provided PDF. "
-            "If the answer is not in the document, say so. Mention page numbers when possible."
-        )
-    }]
-
-    for user_msg, bot_msg in history:
-        messages.append({"role": "user",      "content": user_msg})
-        messages.append({"role": "assistant", "content": bot_msg})
-
-    if not history:
-        content = f"PDF Content:\n\n{safe_pdf_text}\n\n---\nQuestion: {question}"
-    else:
-        content = question
-
-    messages.append({"role": "user", "content": content})
-
-    response = client.chat.completions.create(
-        model=model,
-        messages=messages,
-        temperature=0.2,
-        max_tokens=1024,
-    )
-    return response.choices[0].message.content
-
-def load_pdf(pdf_file, state):
-    if pdf_file is None:
-        return state, "⚠️ Please upload a PDF.", gr.update(interactive=False)
-    pdf_text = extract_text_from_pdf(pdf_file)
-    if not pdf_text:
-        return state, "❌ Could not extract text. Try a non-scanned PDF.", gr.update(interactive=False)
-    state["pdf_text"] = pdf_text
-    state["history"]  = []
-    pages = pdf_text.count("[Page ")
-    words = len(pdf_text.split())
-    return state, f"✅ Loaded! {pages} page(s), ~{words:,} words.\nNow ask your questions!", gr.update(interactive=True)
-
-def ask_question(question, model, state, chat_history):
-    if not question.strip():
-        return chat_history, state, ""
-    if not state.get("pdf_text"):
-        chat_history.append((question, "⚠️ Please load a PDF first."))
-        return chat_history, state, ""
-    try:
-        answer = ask_groq(state["pdf_text"], question, model, state["history"])
-        state["history"].append((question, answer))
-        chat_history.append((question, answer))
-    except Exception as e:
-        chat_history.append((question, f"❌ Error: {e}"))
-    return chat_history, state, ""
-
-def clear_chat(state):
-    state["history"] = []
-    return [], state
-
-MODELS = [
-    "llama-3.3-70b-versatile",
-    "llama-3.1-8b-instant",
-    "llama3-70b-8192",
-    "gemma2-9b-it",
-]
-
-with gr.Blocks(title="PDF Q&A — Groq", theme=gr.themes.Soft()) as demo:
-
-    state = gr.State({"pdf_text": "", "history": []})
-
-    gr.Markdown("# 📄 PDF Q&A App\n### Upload a PDF → Ask questions → Get AI answers")
-
-    with gr.Row():
-        with gr.Column(scale=1):
-            pdf_input  = gr.File(label="Upload PDF", file_types=[".pdf"], type="filepath")
-            upload_btn = gr.Button("📤 Load PDF", variant="primary", size="lg")
-            status     = gr.Textbox(label="Status", value="Upload a PDF to begin...", lines=3, interactive=False)
-            model_drop = gr.Dropdown(choices=MODELS, value=MODELS[0], label="🤖 Groq Model")
-
-        with gr.Column(scale=2):
-            chatbot = gr.Chatbot(label="Conversation", height=420)
-            with gr.Row():
-                q_input = gr.Textbox(label="Your Question", placeholder="e.g. Summarize this document", lines=2, interactive=False, scale=4)
-                with gr.Column(scale=1):
-                    ask_btn   = gr.Button("🔍 Ask",   variant="primary")
-                    clear_btn = gr.Button("🗑️ Clear", variant="secondary")
-
-    upload_btn.click(load_pdf,     [pdf_input, state],                    [state, status, q_input])
-    ask_btn.click(ask_question,    [q_input, model_drop, state, chatbot], [chatbot, state, q_input])
-    q_input.submit(ask_question,   [q_input, model_drop, state, chatbot], [chatbot, state, q_input])
-    clear_btn.click(clear_chat,    [state],                               [chatbot, state])
-
-demo.launch()  # ← No share=True needed on Hugging Face