Add application file

app.py

@@ -1,16 +1,17 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+from pypdf import PdfReader
 
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-
 def respond(
     message,
     history: list[tuple[str, str]],
     system_message,
+    pdf_file,
     max_tokens,
     temperature,
     top_p,
@@ -23,6 +24,13 @@ def respond(
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
 
+    if pdf_file is not None:
+        pdf_reader = PdfReader(pdf_file)
+        pdf_text = ""
+        for page in pdf_reader.pages:
+            pdf_text += page.extract_text()
+        messages.append({"role": "user", "content": pdf_text})
+
     messages.append({"role": "user", "content": message})
 
     response = ""
@@ -46,6 +54,7 @@ demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.File(label="Upload PDF"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(
@@ -58,6 +67,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
     demo.launch()