Update app.py

app.py

@@ -1,41 +1,5 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
-import pytesseract
-from PIL import Image
-from pypdf import PdfReader
-import ocrmypdf
-import os
-
-# Image to Text
-
-def fn_image_to_text(input_image):
-    return pytesseract.image_to_string(Image.open(input_image))
-
-# PDF to Text
-
-def fn_pdf_to_text(input_pdf):
-    reader = PdfReader(input_pdf)
-    
-    output_pdf = ""
-    for page in reader.pages:
-        output_pdf+=page.extract_text()
-  
-    image_count = 0
-    for page in reader.pages:
-        image_count += len(page.images)
-
-    if image_count > 0 and len(output_pdf) < 1000:
-        input_pdf_ocr = input_pdf.replace(".pdf", " - OCR.pdf")
-        ocrmypdf.ocr(input_pdf, input_pdf_ocr, force_ocr=True)
-    
-        reader = PdfReader(input_pdf_ocr)
-        output_pdf = ""
-        for page in reader.pages:
-            output_pdf+=page.extract_text()
-
-        os.remove(input_pdf_ocr)
-  
-    return output_pdf
 
 # Inference
 
@@ -47,22 +11,13 @@ client = InferenceClient()
 def fn_text(
     prompt,
     history,
-    input,
-    #system_prompt,
+    system_prompt,
     max_tokens,
     temperature,
     top_p,
 ):
-    if input:
-        if os.path.splitext(input)[1].lower() in [".png", ".jpg", ".jpeg"]:
-            output = fn_image_to_text(input)
-        if os.path.splitext(input)[1].lower() == ".pdf":
-            output = fn_pdf_to_text(input)
-    else:
-        output = ""
     
-    messages = [{"role": "system", "content": [{"type": "text", "text": output}]}]
-    #messages = [{"role": "system", "content": [{"type": "text", "text": system_prompt}]}]
+    messages = [{"role": "system", "content": [{"type": "text", "text": system_prompt}]}]
     history.append(messages[0])
     
     messages.append({"role": "user", "content": [{"type": "text", "text": prompt}]})
@@ -86,8 +41,7 @@ app_text = gr.ChatInterface(
     fn = fn_text,
     type = "messages",
     additional_inputs = [
-        gr.File(type="filepath", label="Input"),
-        #gr.Textbox(value="You are a helpful assistant.", label="System Prompt"),
+        gr.Textbox(value="You are a helpful assistant.", label="System Prompt"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max Tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-P"),