Update app.py

app.py

@@ -1,8 +1,56 @@
 import gradio as gr
+import os
+import pandas as pd
+from google.cloud import documentai_v1 as documentai
+from google.cloud.documentai_v1.types import RawDocument
+from google.cloud import translate_v2 as translate
+import zipfile
+import io
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Assuming GOOGLE_APPLICATION_CREDENTIALS is set in your environment
+# Set your Google Cloud Document AI processor details here
+project_id = "herbaria-ai"
+location = "us"
+processor_id = "4307b078717a399a"
+
+def translate_text(text, target_language="en"):
+    translate_client = translate.Client()
+    result = translate_client.translate(text, target_language=target_language)
+    return result["translatedText"]
+
+def process_image(file):
+    file_path = file.name
+    file.save(file_path)  # Save the file so we can open and read it later
+    extracted_text, translated_text = batch_process_documents(file_path, "image/jpeg")
+    return extracted_text, translated_text
+
+def batch_process_documents(file_path: str, file_mime_type: str) -> tuple:
+    opts = documentai.ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")
+    client = documentai.DocumentProcessorServiceClient(client_options=opts)
+    with open(file_path, "rb") as file_stream:
+        raw_document = RawDocument(content=file_stream.read(), mime_type=file_mime_type)
+    name = client.processor_path(project_id, location, processor_id)
+    request = documentai.ProcessRequest(name=name, raw_document=raw_document)
+    result = client.process_document(request=request)
+    extracted_text = result.document.text
+    translated_text = translate_text(extracted_text)
+    return extracted_text, translated_text
+
+iface = gr.Interface(
+    fn=process_image,
+    inputs=gr.inputs.File(label="Upload Image File"),
+    outputs=[
+        gr.outputs.Textbox(label="Extracted Text"),
+        gr.outputs.Textbox(label="Translated Text")
+    ]
+)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()
 
+
+# def greet(name):
+   # return "Hello " + name + "!!"
+
+#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+#iface.launch()
+