Update app.py

app.py

@@ -1,3 +1,36 @@
 import gradio as gr
+from PIL import Image
+import requests
+import io
 
-gr.load("models/Falconsai/medical_summarization").launch()
+# Function to perform OCR using Qwen model
+def perform_ocr(image):
+    # Convert the image to bytes
+    buffered = io.BytesIO()
+    image.save(buffered, format="JPEG")
+    image_bytes = buffered.getvalue()
+    
+    # API URL for Qwen OCR model
+    api_url = "https://api-inference.huggingface.co/models/Qwen/Qwen-VL"
+    headers = {"Authorization": f"Bearer {HF}"}
+
+    # Make a request to the model
+    response = requests.post(api_url, headers=headers, files={"file": image_bytes})
+    
+    # Check if the request was successful
+    if response.status_code == 200:
+        result = response.json()
+        return result['text']  # Adjust according to the API response format
+    else:
+        return "Error: " + response.text
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("## OCR with Qwen Model")
+    image_input = gr.Image(type="pil", label="Upload Image")
+    ocr_button = gr.Button("Perform OCR")
+    text_output = gr.Textbox(label="Extracted Text", lines=10)
+
+    ocr_button.click(perform_ocr, inputs=image_input, outputs=text_output)
+
+demo.launch()