Create app.py

app.py

@@ -0,0 +1,59 @@
+import gradio as gr
+import requests
+import json
+import base64
+
+API_KEY = "your_api_key"  # Replace with your actual API key
+
+def encode_image_to_base64(image):
+    encoded_image = base64.b64encode(image).decode("utf-8")
+    return encoded_image
+
+def extract_text_from_image(encoded_image):
+    url = "https://api.openai.com/v1/images/generations"
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {API_KEY}",
+    }
+    data = {
+        "prompt": "Extract the text from the document image.",
+        "image": encoded_image,
+        "n": 1,
+        "size": "1024x1024",
+    }
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+    extracted_text = response.json()["data"][0]["text"]
+    return extracted_text
+
+def summarize_text(text):
+    url = "https://api.openai.com/v1/completions"
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {API_KEY}",
+    }
+    data = {
+        "prompt": f"Summarize the following text:\n\n{text}\n\nSummary:",
+        "max_tokens": 100,
+        "n": 1,
+        "stop": None,
+        "temperature": 0.7,
+    }
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+    summary = response.json()["choices"][0]["text"]
+    return summary
+
+def document_summarizer(image):
+    encoded_image = encode_image_to_base64(image)
+    extracted_text = extract_text_from_image(encoded_image)
+    summary = summarize_text(extracted_text)
+    return summary
+
+iface = gr.Interface(
+    fn=document_summarizer,
+    inputs=gr.inputs.Image(type="file", label="Upload Document Image"),
+    outputs="text",
+    title="Document Image Summarizer",
+    description="Upload an image of a document and get a summary of its content.",
+)
+
+iface.launch()