Update app.py

app.py

@@ -1,64 +1,9 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
+import json
 
-# Load the ClinicalBERT model
-MODEL_NAME = "emilyalsentzer/Bio_ClinicalBERT"
-client = InferenceClient(MODEL_NAME)
+# Load the dataset (update 'your_file_path.json' with the actual file location)
+file_path = "/Users/atibaraymond/Downloads/22687585/release_conditions.json"
+with open(file_path, "r") as file:
+    data = json.load(file)
 
-def respond(
-    message,
-    history,
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    if history is None:
-        history = []
-
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    # Ensure input includes [MASK] for ClinicalBERT
-    if "[MASK]" not in message:
-        message += " [MASK]"
-
-    try:
-        response = client.fill_mask(message)
-        prediction = response[0]["sequence"]
-        confidence = response[0]["score"]
-
-        # Append to history
-        history.append((message, prediction))
-
-        return prediction, history  # Must return history explicitly as an output
-    
-    except Exception as e:
-        return {"error": str(e)}, history
-
-# Create Gradio interface
-demo = gr.Interface(
-    fn=respond,
-    inputs=[
-        gr.Textbox(label="User Input"),
-        gr.State(),  # Explicit state for history tracking
-        gr.Textbox(value="You are a friendly medical assistant.", 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"),
-    ],
-    outputs=[
-        gr.Textbox(label="Model Response"),
-        gr.State(),  # Explicit state output
-    ],
-)
-
-if __name__ == "__main__":
-    demo.launch(share=True)
+# Display a sample record
+print(data[0])  # Print the first patient record