Update app.py

app.py

@@ -1,12 +1,23 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-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
-"""
+# Existing client setup for chat model
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+# Function to process file uploads (e.g., text or PDF files)
+def analyze_file(file):
+    if file is None:
+        return "Please upload a file."
 
+    # Assuming a text file for simplicity, modify for other types as needed (e.g., PDF)
+    try:
+        with open(file.name, "r", encoding="utf-8") as f:
+            content = f.read()
+        return content
+    except Exception as e:
+        return f"Error reading file: {str(e)}"
+
+# Existing chatbot response function
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -39,25 +50,25 @@ def respond(
         response += token
         yield response
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Adding a new function that uses file content as input to the chatbot
+def respond_with_file(file, history, system_message, max_tokens, temperature, top_p):
+    file_content = analyze_file(file)  # Get the content from the file
+    if isinstance(file_content, str):
+        return respond(file_content, history, system_message, max_tokens, temperature, top_p)
+    else:
+        return file_content
+
+# Gradio interface setup
 demo = gr.ChatInterface(
-    respond,
+    respond,  # Main chat function
     additional_inputs=[
         gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
         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(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
+        gr.File(file_types=["text"], label="Upload a file (optional)"),
+    ]
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()