addding simple llama parse tool

.env.example

@@ -0,0 +1 @@
+LLAMA_CLOUD_API_KEY= your_api_key_here

app.py

@@ -1,26 +1,40 @@
 import gradio as gr
+from tools import letter_counter, pdf_to_text
+import os
 
+# --- Gradio Tool: Letter Counter ---
+letter_counter_tool = gr.Interface(
+    fn=letter_counter,
+    inputs=[gr.Textbox(label="Word or Phrase"), gr.Textbox(label="Letter")],
+    outputs=gr.Number(label="Count"),
+    title="Letter Counter",
+    description="Count how many times a letter appears in a word or phrase.",
+)
 
-def letter_counter(word, letter):
-    """
-    Count the occurrences of a specific letter in a word.
 
-    Args:
-        word: The word or phrase to analyze
-        letter: The letter to count occurrences of
+# --- Gradio Tool: PDF to Text ---
+def gradio_pdf_to_text(pdf_file, api_key=None):
+    if api_key is None:
+        api_key = os.getenv("LLAMA_CLOUD_API_KEY")
+    if pdf_file is None:
+        return "No PDF file provided."
+    return pdf_to_text(pdf_file.name, api_key=api_key)
 
-    Returns:
-        The number of times the letter appears in the word
-    """
-    return word.lower().count(letter.lower())
 
+pdf_to_text_tool = gr.Interface(
+    fn=gradio_pdf_to_text,
+    inputs=[
+        gr.File(label="PDF File"),
+    ],
+    outputs=gr.Textbox(label="Extracted Text"),
+    title="PDF to Text Extractor",
+    description="Extracts all text from a PDF using LlamaParse. Optionally provide your Llama Cloud API key.",
+)
 
-demo = gr.Interface(
-    fn=letter_counter,
-    inputs=["text", "text"],
-    outputs="number",
-    title="Letter Counter",
-    description="Count how many times a letter appears in a word",
+# --- Combine Tools in Gradio Tabbed UI ---
+demo = gr.TabbedInterface(
+    [letter_counter_tool, pdf_to_text_tool], ["Letter Counter", "PDF to Text"]
 )
 
-demo.launch(mcp_server=True)
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

@@ -1 +1,2 @@
 gradio[mcp]
+llama-cloud-services

tools.py

@@ -0,0 +1,51 @@
+"""
+tools.py
+
+This module contains modular tools for the Gradio app, including:
+- Letter Counter Tool
+- PDF to Text Tool (using LlamaParse)
+"""
+
+from llama_cloud_services import LlamaParse
+import os
+
+
+# --- Tool: Letter Counter ---
+def letter_counter(word: str, letter: str) -> int:
+    """
+    Count the occurrences of a specific letter in a word.
+
+    Args:
+        word (str): The word or phrase to analyze.
+        letter (str): The letter to count occurrences of.
+
+    Returns:
+        int: The number of times the letter appears in the word.
+    """
+    return word.lower().count(letter.lower())
+
+
+# --- Tool: PDF to Text ---
+def pdf_to_text(pdf_path: str) -> str | None:
+    """
+    Extracts text from a PDF file using LlamaParse.
+
+    Args:
+        pdf_path (str): Path to the PDF file.
+
+    Returns:
+        str: The extracted text from the PDF.
+        None: If no text could be extracted.
+    """
+    parser = LlamaParse(
+        api_key=os.getenv("LLAMA_CLOUD_API_KEY"),
+        num_workers=1,
+        verbose=True,
+        language="en",
+    )
+    result = parser.parse(pdf_path)
+    # Get all text as a single string
+    text_documents = result.get_text_documents(split_by_page=False)
+    if text_documents:
+        return "\n".join([doc.text for doc in text_documents])
+    return None