Create app.py

app.py

@@ -0,0 +1,45 @@
+import gradio as gr
+import json
+import os
+from datetime import datetime
+from pathlib import Path
+
+gr.set_static_paths(paths=[Path.cwd().absolute()])
+                    
+print("Current Working Directory: ", os.getcwd())
+cwd = os.getcwd()
+
+def process_question(question):
+    try:
+        answer = {"doc1": "document 1 contents", "doc2": "document 2 contents"}
+        # Create file in current directory with timestamp
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        filename = f"my_answer_{timestamp}.txt"# Get the current working directory
+        filepath = os.path.join(cwd, filename)
+
+        f = open(filename, "w", encoding="utf-8")
+        try:
+            answer = json.dumps(answer, indent=2, ensure_ascii=False)
+            f.write(answer)
+        finally:
+            f.close()
+
+        return [answer, filepath]
+    
+    except Exception as e:
+        return f"Error processing question: {str(e)}", None
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=process_question,
+    inputs=gr.Textbox(label="Ask a question about documents", placeholder="Extract the text from this document."),
+    outputs=[
+        gr.Textbox(label="Answer"),
+        gr.File(label="Download Answer as txt", file_count="single", file_types=[".txt"], type="filepath" )
+
+    ],
+    title="Document Reader",
+    description="Ask questions about documents using AI vision to read scanned PDFs"
+    )
+
+iface.launch(ssr_mode=False, allowed_paths=[cwd])