Update app.py

app.py

@@ -1,3 +1,36 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.load("models/william4416/bewtesttwo").launch()
+# Load the model
+qa_pipeline = pipeline("question-answering", model="william4416/bewtesttwo")
+
+# Define the function to process the JSONL file
+def process_jsonl(file_path):
+    with open(file_path, "r", encoding="utf-8") as f:
+        data = f.readlines()
+    return [eval(line) for line in data]
+
+# Define the function to answer questions from the model
+def answer_question(context, question):
+    # Process the context from the JSONL file
+    contexts = [item["context"] for item in context]
+    # Perform question answering
+    answers = []
+    for ctxt in contexts:
+        answer = qa_pipeline(question=question, context=ctxt)
+        answers.append(answer["answer"])
+    return answers
+
+# Create the interface
+context_input = gr.inputs.File(label="utsdata.jsonl")
+question_input = gr.inputs.Textbox(label="Enter your question", lines=3)
+output_text = gr.outputs.Textbox(label="Answer")
+
+# Create the interface
+gr.Interface(
+    fn=answer_question,
+    inputs=[context_input, question_input],
+    outputs=output_text,
+    title="Question Answering with Hugging Face Transformers",
+    description="Upload a JSONL file containing contexts and ask a question to get answers.",
+).launch()