Update app.py

app.py

@@ -1,9 +1,36 @@
 import gradio as gr
+import PyPDF2
+import pytesseract
+from PIL import Image
+
+# Ensure Tesseract is installed and accessible
+# On Windows, you may need to specify the Tesseract path:
+# pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
 
 def process_file(file):
-    # Process the uploaded file here
-    # For demonstration, we'll just return the file name
-    return f"Uploaded file: {file.name}"
+    if file is None:
+        return "No file uploaded."
+    
+    content = ""
+    if file.name.endswith(".txt"):
+        # Read text files
+        with open(file.name, "r") as f:
+            content = f.read()
+    elif file.name.endswith(".pdf"):
+        # Extract text from PDFs
+        reader = PyPDF2.PdfReader(file.name)
+        for page in reader.pages:
+            content += page.extract_text()
+    elif file.name.endswith((".png", ".jpg", ".jpeg")):
+        # Extract text from images using OCR
+        image = Image.open(file.name)
+        content = pytesseract.image_to_string(image)
+    else:
+        return f"Unsupported file type: {file.name}"
+    
+    # Simulate passing the content to the phi-4 model
+    model_response = f"Processed file content:\n{content}"
+    return model_response
 
 with gr.Blocks(fill_height=True) as demo:
     with gr.Sidebar():
@@ -12,10 +39,16 @@ with gr.Blocks(fill_height=True) as demo:
         button = gr.LoginButton("Sign in")
     
     with gr.Column():
-        gr.load("models/microsoft/phi-4", accept_token=button, provider="nebius")
-        file_input = gr.File(label="Upload a file")
-        file_output = gr.Textbox(label="File Info")
+        # Load the phi-4 model
+        model = gr.load("models/microsoft/phi-4", accept_token=button, provider="nebius")
+        
+        # File upload component
+        file_input = gr.File(label="Upload a file (TXT, PDF, or Image)")
+        
+        # Output component to display model response
+        file_output = gr.Textbox(label="Model Response", lines=10)
     
+    # Connect the file upload to the processing function
     file_input.change(process_file, inputs=file_input, outputs=file_output)
 
 demo.launch()